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Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure—delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. NetApp sits on 60% of the world's unstructured data. AI runs on unstructured data, and our customers' data is already with us, so we start most AI conversations from a position nobody else has. We are building the engine that turns that into business, and both halves of it are already here: Solution Architects who design the data infrastructure for training, inference, agent runtimes and AI-ready data lakes, and business development people who build the propositions and target lists that open those conversations. What we want now is to run them as one team, with one plan, going after the AI opportunity in EMEA/LATAM proactively rather than one deal at a time. That is this role. You lead the AI Solution Architects and the AI business development / GTM profiles across EMEA/LATAM, and you are accountable for a commercial result: incremental AI pipeline, a better win rate, and AI bookings growth year over year. Build the value propositions with the teams who have to sell them Own our AI value propositions across the four workloads, built together with your architects and business developers, Area sales, Marketing and the partners we sell with. Each one needs an architecture we can defend, the accounts it applies to, and the competitive position and proof points the field will be asked for. Scale what works Take a proposition that produces opportunities in one country and make it work across the region, run by people who did not build it. Stop the motions that do not convert. Scale through partners as well, particularly where the buying decision follows a validated reference architecture. Be our AI voice in EMEA Be the person the market, the press and our own field look to for NetApp's view on AI data infrastructure: inference economics, agent runtimes and data governance, European sovereignty and regulation, and the competitive stacks. Build the same standing in the people around you. Hire and develop the talent this depends on Hire above the bar we have today across two quite different profiles, set the AI technical bar for the wider SE and SA community, build succession, and choose deliberately where the team spends its time. Make our SEs and Client Executives effective on AI workloads Get several hundred Systems Engineers and Client Executives to the point where they can open, qualify and lead an AI workload conversation on their own accounts. Judge the enablement on the opportunities they create afterwards. Build the relationships where platform decisions get made Hold your own relationships with the CTOs, chief architects and heads of AI and platform who decide where their AI workloads will run, maintained between deals, so we are in the conversation before the architecture is set. Basic qualifications • 12+ years in enterprise technology including strategic and people leadership, with 5+ years managing people. Experience leading both technical (pre-sales, solution architecture) and commercial (business development, GTM) profiles, or a credible case for why you can., • A record of creating pipeline in a new or emerging segment, with the numbers and the plays behind it., • Real fluency in the AI infrastructure stack, deep enough to set a bar rather than repeat one: GPU clusters and reference architectures, training and fine-tuning pipelines, inference serving and its economics, agent runtimes and frameworks, RAG and vector search, data lake architecture, and where the data layer sits in each. You should be able to hold your own with a CTO or Head of AI without an architect in the room., • Commercial and dimensioning judgement: able to test whether a solution is right-sized and defend a design choice, including a smaller one, under pressure., • Able to influence without authority across sales, technical, marketing and partner organisations in a matrixed, multi-country environment., • Executive presence at C-level, including when the outcome is uncertain., • Fluent English and willing to travel across EMEA/LATAM. Preferred qualifications • Relationships in the European AI ecosystem — sovereign AI programmes, neoclouds, AI ISVs, GPU vendors, integrators, AI investors., • Experience building a GTM motion from scratch, and the team that runs it., • Understanding of EU AI and data sovereignty regulation, including public-sector procurement., • Experience with hyperscalers and partner-led sales models., • A storage or data infrastructure background helps but is not required. If you come from storage, show us AI deals you have been in and a current read on the market., • Another European language. You start on the inference proposition with two architects, a business developer and an SE manager, arguing about whether the cost-of-serving case holds up with a customer who already has GPUs. Mid-morning, the head of platform at a large European bank, on their AI roadmap rather than on anything of ours. Before lunch, the architecture review on our largest inferencing deal, where you push back on a design that won't survive the customer's second model. Afternoon is a deal clinic with a dozen SEs and CEs taking the new proposition into their own accounts next week. Then an analyst briefing, and half an hour reworking the proposition because last quarter's three losses all turned on the same objection. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support—rather than replace—human decision-making.

Excited to uncover insights from complex data and turn them into impactful business decisions? Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data? LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world's most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows. Protégé in PatentSight is LNIP's next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics. We are seeking a Data Scientist III to help the design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions. • Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search)., • Define agentic workflows and reasoning strategies for multi-step IP tasks., • Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality)., • Analyse large-scale IP datasets to extract insights and improve model performance., • Establish best practices for model evaluation, validation, and benchmarking., • Translate experimental results into clear product recommendations and business impact., • Collaborate with product, IP experts, and engineers to align solutions with user needs., • Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.)., • Strong experience in machine learning, NLP, and LLM-based modeling., • Strong experience designing and running experiments, including model evaluation and iteration., • Strong coding skills in Python., • Experience with generative AI techniques (e.g., prompt engineering, RAG)., • Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases., • Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real-world use cases., • Proficiency in data analysis tools., • Strong foundation in statistics, modeling, and large-scale text processing. Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. • Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: • Generous holiday allowance with the option to buy additional days., • Health screening, eye care vouchers, and private medical benefits, • Wellbeing programs, • Life assurance, • Access to a competitive contributory pension scheme, • Save As You Earn share option scheme., • Travel Season ticket loan., • Electric Vehicle Scheme, • Optional Dental Insurance, • Maternity, paternity, and shared parental leave, • Employee Assistance Programme, • Access to emergency care for both the elderly and children, • RECARES days, giving you time to support the charities and causes that matter to you., • Access to employee resource groups with dedicated time to volunteer., • Access to extensive learning and development resources, • Access to employee discounts scheme via Perks at Work At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more producti #J-18808-Ljbffr

• Advising clients on AI target architectures and evaluating architectural options against business objectives, value creation opportunities, investment constraints and risk considerations, • Structure ambiguous client problems into hypotheses, analyses and actionable recommendations, • Designing end-to-end AI target architectures spanning data foundations, models, orchestration, integration, security, enterprise systems and the operating model required to run them, • Assessing AI, technology and data maturity of enterprises including the credibility of data/AI claims, the durability of application landscape, infrastructure and data to scale AI in a enterprise context and translating findings into executive recommendations, investment priorities and transformation roadmaps, • Defining AI solutions for targeted use cases or complex AI products that span across value streams that are underpinned by existing enterprise IT & data landscapes, including prioritisation of use cases based on value, feasibility, scalability and strategic relevance, • Develop board-ready recommendations on AI-enabled growth, productivity and transformation opportunities, • Developing the technical and economic case for AI, including inference and token costs, infrastructure requirements, cost-to-serve, gross-margin sensitivity and build, buy or partner decisions, • Advising on AI governance, security, data residency, responsible AI and relevant regulatory requirements, including the EU AI Act and the evolving UK regulatory environment, • Guiding prototyping teams and using prototypes to test strategic, operational, commercial and technical assumptions, • Defining architecture standards, reference patterns, assessment frameworks, strategy and assessment frameworks and reusable technical assets for the practice, • Communicating strategic implications, investment trade-offs, architecture decisions and technical risks clearly to boards, investment committees, executive teams and non-technical stakeholders, • Supporting proposals, technical workshops and pursuit meetings, acting as a credibility anchor on complex AI questions and leading executive workshops, client problem-solving sessions and strategic discussions, • Coaching colleagues and building AI architecture capability across EY-Parthenon and the wider EY organisation, including engagement teams comprising strategy consultants and technical specialists Successful candidates will combine deep technical expertise with the ability to operate effectively in a strategy consulting environment They will be intellectually curious, commercially aware and able to form clear judgements under significant time pressure • Strong enterprise architecture experience across AI, data, applications, integration, infrastructure, security and operating-model considerations, • A practical understanding of generative AI, machine learning, foundation models, retrieval architectures, orchestration, agentic patterns and modern data platforms, • Experience designing AI or machine-learning systems that progressed beyond proof of concept into sustained production use, • Practical familiarity with Python and AI development approaches sufficient to review technical designs, guide prototyping efforts and challenge technical assumptions, • Experience with cloud-native and hybrid environments, including at least one of AWS, Microsoft Azure or Google Cloud Platform, • Working knowledge of modern data platforms such as Databricks or Snowflake, and integration with core enterprise systems, • A strong understanding of AI unit economics and the difference between a successful demonstration and a system that is affordable, scalable and supportable in production, • Familiarity with emerging AI architectures, agentic systems and enterprise AI design patterns, • Strong answer-first communication and the ability to structure complex technical questions under demanding deadlines, • The ability to explain an architecture decision, technical risk or investment requirement clearly to a non-technical executive audience, • Evidence of constructively influencing senior stakeholders, including where the appropriate recommendation is to stop, redesign or defer an initiative, • The confidence to form a defensible view using incomplete information while being clear about assumptions and limitations, • Experience operating under compressed transaction or executive decision‑making timelines, • A collaborative and low-ego working style, with a willingness to operate as an integrated member of a strategy engagement rather than as an external technical authority, • The ability to translate technology choices into implications for value, cost, scalability, risk, competitive differentiation and strategic control, • 7+ years spanning technology strategy, AI advisory, enterprise architecture, solution architecture, technology consulting or related disciplines, • Have hands‑on experience designing AI architectures or machine-learning systems that reached and remained in production, • Have experience working at the intersection of business strategy and technology, helping senior executives translate AI opportunities into investment priorities, transformation initiatives and measurable business outcomes, • Have demonstrable enterprise architecture experience across cloud‑native or hybrid technology environments, • Have experience integrating AI and data solutions with enterprise systems such as ERP, CRM, supply‑chain, manufacturing or other operational platforms, • Practical familiarity with Python and AI development approaches orchestration, agent, retrieval and evaluation approaches, • Have experience assessing the scalability, security, reliability, performance and cost of AI systems, • Have strong written and verbal communication skills, including experience presenting technical recommendations to senior stakeholders, • Be able to work effectively across multidisciplinary teams comprising strategy consultants, engineers, data scientists, commercial specialists and sector experts, • Be comfortable delivering high‑quality answers under tight and sometimes transaction‑driven deadlines, • Be able to provide vendor‑neutral advice and objectively evaluate competing technologies, platforms and delivery models, • A masters degree or equivalent in Computer Science, Engineering, Mathematics, Data Science or related analytical discipline from a reputable university, Have experience supporting technology, digital or AI diligence engagements, including the assessment of scalability, risks, capability gaps and value creation opportunities, • Have experience evaluating AI‑enabled products, software businesses, data assets or technology‑led investment theses, translating technical findings into commercial and strategic implications, • Bring sector expertise in one or more of the following industries: Media, Retail & Consumer Products, Industrials, Automotive, Technology or Software, with an understanding of the key technology and AI value drivers within those sectors, • Have experience advising on responsible AI, AI governance, model risk, AI security, regulatory compliance or technology assurance, • Have worked with major enterprise technology platforms, including ERP, CRM, supply chain, manufacturing and data platforms such as SAP, Oracle, Salesforce, Snowflake, Databricks or Palantir, and understand their role in enabling enterprise AI adoption, • Have experience developing reusable assessment frameworks, architecture patterns, strategic recommendations or reference assets that accelerate client delivery and capability building, • Be an effective coach and mentor, able to develop the technical and commercial confidence of both specialist and non‑specialist colleagues, • Be a highly collaborative team player with the ability to build trusted relationships across clients, EY-Parthenon and the wider EY organisation, both in the UK and internationally EY | Building a better working world EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fuelled by sector insights, a globally connected, multidisciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. We offer an attractive remuneration package where you'll be rewarded for your performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well‑being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: • Continuous learning: Through continuous training, coaching and mentorship, you'll develop the mindset and skills needed to accelerate your career and become a transformational leader., • Real exposure: Opportunities to advise senior business leaders and investors on high-priority AI strategy, architecture and transaction questions., • Technical impact: The opportunity to shape architecture standards, reusable assets and the development of EY-Parthenon's AI capabilities., • Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs., • Success as defined by you: We'll provide the tools and flexibility so you can make a meaningful impact, your way. #J-18808-Ljbffr

We're seeking a versatile Principal Data Scientist who can work across the full stack of Anaplan AI applications, from model integration and prompt engineering to building intuitive user interfaces. In this role, you will have a direct impact on our industry-leading platform by architecting and deploying cutting‑edge AI solutions that drive intelligent, automated, and forward‑looking decision‑making for our global customers. You will bridge the gap between traditional predictive algorithms and modern generative systems. Your Impact • Advanced Modeling & Predictive Analytics: Lead the research, design, and implementation of advanced Machine Learning, Deep Learning, and Timeseries Forecasting models to solve complex enterprise business and planning challenges., • Generative AI Architecture: Architect GenAI solutions, focusing on fine‑tuning proprietary and open‑source Large Language Models (LLMs) via Transformer architectures for specialised enterprise data tasks., • Next-Gen Interfaces: Design and integrate Conversational AI and autonomous Agentic AI workflows, creating intuitive experiences that can independently execute complex planning tasks., • Production & Scale: Collaborate with Engineering, Product, and Design teams to transition AI models from early prototypes into robust, highly scalable production systems., • Technical Leadership: Serve as a core subject matter expert, mentoring cross‑functional teams and driving a culture of technical excellence, rigorous testing, and continuous learning. We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. • Extensive professional engineering experience across Artificial Intelligence, Machine Learning, or related domains., • Deep technical understanding of Transformer architectures, prompt engineering, and conversational AI patterns, alongside practical experience with autonomous agent frameworks., • Experience fine‑tuning LLMs (e.g., LoRA, QLoRA, RLHF) specifically for domain‑specific enterprise applications., • Taken responsibility of models from concept to production, utilising strong MLOps and LLMOps practices to ensure scalable, reliable, and monitorable deployments., • High proficiency in Python and modern software development practices, including rigorous testing, code reviews, and CI/CD pipelines., • Strong hands‑on experience in traditional Machine Learning and deep learning techniques, specifically including Timeseries Forecasting algorithms., • Background in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field., • Experience working with scalable cloud infrastructure (AWS, GCP, or Azure) and MLOps tools for model training, monitoring, and deployment., • Background in forecasting, planning, or analytics applications, • Familiarity with Anaplan or similar enterprise planning platforms, • Experience with A/B testing and experimentation frameworks for AI features, • Contributions to open‑source ML projects or research publications At Anaplan, we are a team of innovators focused on optimizing business decision‑making through our leading AI‑infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca‑Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best‑in‑class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins - big and small. Supported by operating principles of being strategy‑led, values‑based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what’s next - together! As set forth in Anaplan's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. Race & Ethnicity Definitions If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. If you are a U.S. citizen or a legal permanent resident of the United States (i.e., you have a green card), you may apply for this position. If you are a veteran, "Vets" or "Veterans with disabilities," you may apply for this position. If you are from a protected group or have affiliations in this group Chapter 2 – Employment with Anaplan, Civil Rights and equal Opportunity at Anaplan, Overview of Veteran Status and information. The following are the confidentiality policy and the standard handling of personal data: Classification of protected categories is as follows: A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service‑connected disability. A "recently separated veteran" means any veteran during the three‑year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval or air service. An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense. An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985. #J-18808-Ljbffr

As a member of Avanade's Security Practice, you will work across both Avanade and Accenture clients, supporting medium-sized organisations through to large global enterprises. You will contribute to client delivery, solution development, thought leadership, and the evolution of Avanade's Secure AI offerings. This is an opportunity to establish yourself as a leader in Secure AI, Microsoft Security, and Data Protection. You will help clients safely accelerate AI adoption while leveraging Microsoft's Security, Compliance, Identity and AI ecosystem. You will work with clients to design and implement secure AI and Zero Trust architectures using Microsoft technologies, including: • Secure AI & Microsoft Copilot Assess organisational readiness for Microsoft Copilot and AI adoption. Design secure deployment approaches for Microsoft 365 Copilot and Copilot Studio. Define governance models, security controls, and operating procedures for enterprise AI solutions. Support clients in identifying, mitigating, and managing AI-related security and compliance risks. Deliver Secure AI workshops, maturity assessments, and roadmap engagements. Advise on AI security best practices aligned to Microsoft guidance and industry frameworks. • Microsoft Purview & Data Security Design and implement Microsoft Purview capabilities to support AI governance and data protection. Configure Information Protection, Data Loss Prevention (DLP), Data Security Posture Management (DSPM), Insider Risk, and Compliance solutions. Identify and remediate data exposure risks that may affect AI deployments. Establish data classification, labelling, and protection strategies. Support clients with regulatory and compliance requirements relating to AI and sensitive information. • Identity & Zero Trust Design and implement secure identity architectures using Microsoft Entra. Deploy Conditional Access, Identity Protection, Privileged Identity Management (PIM), and Identity Governance capabilities. Define Zero Trust strategies supporting AI, cloud, and hybrid environments. Assess identity risks and implement controls to reduce privilege exposure and unauthorised access. • Azure AI & Foundry Security Design security architectures for Azure AI Foundry and Azure AI services. Implement identity, access, networking, monitoring, and governance controls for AI workloads. Advise clients on secure model development, deployment, and lifecycle management. Support threat modelling and risk assessments for AI platforms and use cases. Define secure patterns for integrating AI services with enterprise systems and data sources. • Advisory & Consulting Conduct Secure AI and Microsoft Security assessments. Define target-state architectures, operating models, and transformation roadmaps. Lead client workshops and executive discussions. Produce architecture documentation, governance frameworks, implementation designs, and adoption plans. Contribute to solution development, innovation initiatives, blogs, whitepapers, and thought leadership activities. Support business development, pre-sales engagements, and proposal development. • Essential Experience delivering Microsoft Security, Compliance, Identity, or Data Protection solutions., • Strong understanding of Zero Trust security principles., • Experience with Microsoft Purview, including Information Protection, DLP, Compliance, or DSPM capabilities., • Experience with Microsoft Entra ID, Conditional Access, Identity Protection, PIM, or Identity Governance., • Understanding of Microsoft Copilot security and governance considerations., • Experience conducting security assessments, workshops, and advisory engagements., • Strong client-facing consulting and stakeholder management skills., • Ability to produce high-quality architecture documentation and technical designs., • Desirable Experience with Microsoft 365 Copilot deployments., • Experience with Copilot Studio or Agent-based AI solutions., • Experience with Azure AI Foundry and Azure AI Services., • Knowledge of AI security frameworks and emerging AI governance standards., • Security certifications such as SC-100, SC-200, SC-300, SC-400, AZ-500, or equivalent., • Experience in regulated industries such as Financial Services, Healthcare, Government, or Energy. At Avanade, we advance the world through the power of people and Microsoft. Join us to shape your skills and the future with bold ideas and innovative solutions. Our partnership with Microsoft and Accenture empowers you to unlock your full potential. Working at Avanade offers the chance to build a career path that suits your skills and interests and the freedom to be your authentic self. We are committed to your growth, well-being, and success. This is where passion meets opportunity, technology meets humanity, and every challenge is a chance to make a genuine impact on colleagues, clients, and communities. Together, we do what matters. #J-18808-Ljbffr

Description Design the Platform Behind Every Product, Data Insight and AI InnovationAs a sole contributor, you'll Lead the design and operation of a modern multi-cloud platform that underpins engineering, data and product teams across the business. Department: Technology Location: London You will: • Create self-service platforms, golden paths and developer tools that enable teams to ship quickly without managing cloud complexity., • Build AI-ready infrastructure, guardrails and automation that support both human engineers and autonomous AI agents., • Champion a zero-trust, secure-by-default approach across identities, networks, workloads and data, • Partner with data teams to optimise cloud data platforms, pipelines and analytics environments that power business-critical insights., • Design, build and operate our multi-cloud and hybrid-cloud platform across at least two of the top-three providers (AWS, Azure and/or Google Cloud), plus on-prem/hybrid connectivity where needed., • Build and own an internal developer platform and self-service "golden paths" that make cloud infrastructure feel invisible and commoditised for engineering, data and product teams; and their AI agents., • Deliver everything as code: infrastructure-as-code, GitOps, reusable modules, CI/CD pipelines and policy-as-code guardrails., • Leverage AI agents extensively to automate and optimise platform work - provisioning, cost and performance optimisation, incident response, remediation and documentation., • Prepare the infrastructure for AI agents as first-class "engineers": safe machine identities, scoped permissions, sandboxes, approval workflows and audit trails so agents can provision and operate infrastructure within tight guardrails., • Embed a zero-trust security model across identity, network, workloads and data for both human and machine/agent identities; secure by default, least privilege, secrets management and continuous compliance., • Apply SRE practices - SLOs/SLIs, observability, capacity planning, resilience and blameless incident management - to keep the platform reliable and cost-efficient., • Partner with data engineering to design and optimise data pipelines, data stores and large-scale analytics infrastructure such as BigQuery, including query, cost and performance tuning., • Mentor engineers, set technical direction and champion strong platform and security engineering standards across the organisation., • Extensive hands-on experience designing, building and operating production cloud infrastructure at senior or lead level., • Multi-cloud experience across at least two of the top three providers (AWS, Microsoft Azure and Google Cloud), including a recognised professional-level cloud certification for each of those two providers (for example AWS Solutions Architect / DevOps Engineer Professional, Azure Solutions Architect / DevOps Engineer Expert, or Google Cloud Professional Cloud Architect / DevOps Engineer)., • Strong background in modern hybrid-cloud architecture and connecting cloud with on-prem/edge environments., • Deep infrastructure-as-code and automation skills (e.g. Terraform/OpenTofu, Pulumi, Ansible), GitOps and CI/CD, plus containers and orchestration (Docker, Kubernetes)., • Proven experience building internal developer platforms, self-service golden paths and platform-as-a-product to abstract away cloud complexity for engineering teams., • Practical experience using AI agents / LLM-based tooling to automate and optimise infrastructure work, and interest in designing infrastructure that AI agents can operate safely., • Strong security engineering mindset with hands‑on zero‑trust experience across identity, network, workloads and data — including secrets management, least‑privilege IAM and machine/workload identity., • Solid programming/scripting ability (e.g. Python, Go) and strong observability, reliability and cost‑optimisation practices., • Experience working as a Site Reliability Engineer (SRE) with SLOs/SLIs, error budgets and incident management., • A third top-tier cloud certification, or specialist security/Kubernetes certifications (e.g. CKA/CKS)., • Significant data engineering experience: designing and operating data pipelines and data stores, and optimising databases and large-scale data infrastructure such as BigQuery (including query, cost and performance tuning)., • Experience preparing environments for autonomous/agentic workloads — sandboxes, scoped machine identities, approval workflows and audit trails., • Experience in a regulated or fintech environment., • Pragmatic and hands‑on, with a strong bias for automation and eliminating toil., • Product mindset — you treat internal engineers (human and AI) as your customers and obsess over their experience., • Security‑and reliability‑first, collaborative, and comfortable leading and mentoring. We have multiple offices across the UK. We have a new office in London which is becoming more central to where collaborate in person. We have a flexible working policy with a few days per week in the office. Applicants must already hold a legal right to work in the UK without time restrictions and without the need for future sponsorship. We are unable to provide Skilled Worker visa sponsorship. Fintel plc and all the businesses within it adopt a zero-tolerance approach to discrimination on any of the protected grounds in the Equality Act 2010. We are committed to providing equal opportunities to all current and prospective employees regardless of age, disability, sex, sexual orientation, pregnancy and maternity, race or ethnicity, religion or belief, gender identity, or marriage and civil partnership. We aspire to have a diverse workforce because, in our view, diversity enables better business outcomes. We also believe that a more inclusive workplace, where people of different backgrounds work together, ensures better outcomes for all staff. From application to interview, we place inclusion at the heart of all we do. #J-18808-Ljbffr

Senior Data Scientist I Excited to uncover insights from complex data and turn them into impactful business decisions? Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data? About the team: LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world’s most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows. Protégé in PatentSight is LNIP’s next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics. About the role: We are seeking a Senior Data Scientist I to help the design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions. • Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search)., • Define agentic workflows and reasoning strategies for multi-step IP tasks., • Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality)., • Analyse large-scale IP datasets to extract insights and improve model performance., • Establish best practices for model evaluation, validation, and benchmarking., • Translate experimental results into clear product recommendations and business impact., • Collaborate with product, IP experts, and engineers to align solutions with user needs., • Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.)., • Strong experience in machine learning, NLP, and LLM-based modeling., • Strong experience designing and running experiments, including model evaluation and iteration., • Strong coding skills in Python., • Experience with generative AI techniques (e.g., prompt engineering, RAG)., • Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases., • Experience designing agentic workflows and reasoning strategies, with hands‑on experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real-world use cases., • Proficiency in data analysis tools., • Strong foundation in statistics, modeling, and large-scale text processing. Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working for you We know that your well-being and happiness are key to a long and successful career. • Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive., • Generous holiday allowance with the option to buy additional days., • Health screening, eye care vouchers, and private medical benefits., • Wellbeing programs., • Life assurance., • Access to a competitive contributory pension scheme., • Save As You Earn share option scheme., • Travel Season ticket loan., • Electric Vehicle Scheme., • Optional Dental Insurance., • Maternity, paternity, and shared parental leave., • Employee Assistance Programme., • Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you., • Access to employee resource groups with dedicated time to volunteer., • Access to extensive learning and development resources., • Access to employee discounts scheme via Perks at Work. About the business- At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results We know your well-being and happiness are key to a long and successful career. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights. LexisNexis Legal & Professional is a leading global provider of legal, regulatory and business information and analytics that help customers increase productivity, improve decision-making and outcomes, and advance the rule of law around the world. We help lawyers win cases, manage their work more efficiently, serve their clients better and grow their practices. We assist corporations in better understanding their markets and preventing bribery and corruption within their supply chains. We partner with leading global associations and customers to help collect evidence against war criminals and provide tools to combat human trafficking. We endeavour to advance the rule of law across the world.Our teams are combining unparalleled legal and business information with analytics and technology to advance what’s possible for the way our customers work and to advance what’s possible in the world by strengthening the rule of law. #J-18808-Ljbffr

Skills and Competencies12+ years of software engineering experience, including 5+ years leading engineering teams and delivering complex, large-scale, multi-team initiatives with measurable business impactExperience leading multiple teams or groups of teams, including managing engineering managers, technical leads, and staff-level engineers with accountability for delivery outcomes across a portfolioStrong technical depth in TypeScript, Python, C#, or similar technologies, with the ability to engage credibly in architecture and code reviews, challenge design decisions, and assess technical riskDeep expertise in enterprise AI applications built on large language models, including agents, retrieval augmented generation, orchestration frameworks, model optimization, and evaluation frameworksHands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval tooling)Experience running AI systems in production at scale, including observability, cost and capacity planning, regression detection, and incident response for AI-powered applicationsExperience operating production distributed systems on AWS/Azure, with a strong grasp of reliability, observability, and incident response at scaleDeep knowledge of cloud-native technologies, serverless applications, event-driven architectures, data and inference pipelines, relational, NoSQL, and vector databases, and modern software architecture patternsProven track record of owning multi-year technical strategy and architectural roadmaps, guiding teams from AI prototype through production deployment, and influencing organizational changeDeep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organizationEducation Bachelor's or master's degree in Computer Science, Engineering, Artificial Intelligence, or a related discipline, or equivalent professional experienceResponsibilities Lead the strategy, delivery, and evolution of mission-critical AI platforms and intelligent applications while driving engineering excellence across the Digital Content and Innovation organization.Define and execute long-term technical strategies while owning the multi-year architecture and technology roadmap for AI platforms and applicationsLead, grow, and organize multiple engineering teams, including engineering managers, technical leads, and staff-level engineers, with accountability for delivery outcomes across the portfolioDrive architectural decisions, organizational alignment, and integration of AI-powered solutions using large language models, retrieval augmented generation, orchestration frameworks, and agentic workflowsEstablish engineering excellence through architecture reviews, code reviews, automated testing, observability, security standards, operational excellence, and machine learning operations practicesOwn budget planning and cost management, including headcount, cloud infrastructure, model consumption, tooling investments, vendor relationships, and build-versus-buy decisionsPartner with product, business, risk, legal, compliance, and audit stakeholders to maximize customer value and implement responsible AI governance practicesAttract, develop, and retain engineering talent through mentoring, succession planning, performance coaching, and the cultivation of future engineering leadersDefine and report on key metrics that demonstrate platform adoption, delivery performance, reliability, cost efficiency, and measurable business impactAbout the Team Our Digital Content and Innovation team is responsible for building and deploying intelligent, AI-powered solutions that drive innovation across Moody's products and platforms. The team accelerates the development of next-generation analytical capabilities, enables smarter client experiences, and advances Moody's leadership in applied artificial intelligence. As Principal Engineer, you will define the technical vision, guide strategic investments, build high-performing teams, and help transform applied AI into scalable, production-ready capabilities that deliver measurable value responsibly and at scale.TPBN1_UKTJ

About us At Sierra, we're creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google's AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.What you'll do Build Enterprise-grade AI Agents : As an Agent PM at Sierra, you will be responsible for partnering directly with our engineers and customers to build and ship AI agents that handle thousands of customer conversations a day.Engage with Customers : In the role, you will engage with all levels of our customers' businesses:Discover and assess their requirements.Prepare and present demonstrations of Sierra's agent.Address and overcome technical challenges in the business process by working with technical counterparts.Develop and improve Sierra virtual agents to fit and anticipate our customers' needs and business processes.Become trusted advisors and drive strategic technical strategies for our customers.Shape the Product Roadmap : Work with Sierra's engineering and product development teams to scope and implement new features essential to the success of your customers.What you'll bring 5-7+ years experience in product development of highly technical products.Past experience in Product Management or other similar product development roles at or above the level of Senior Product Manager.Experience crafting and tailoring a message for potential customers, including executives.Ability to communicate highly technical concepts to both non-technical and technically proficient audiences, including recent AI developments.Degree in a technical or related field, or equivalent professional experience.Even better... AI-related experience (experience with product development for AI agents a plus).Some coding experience with React, Typescript, and Go.MBA or equivalent professional experience (while this is a product management role, you will have the opportunity to lean into broader business roles).Past roles that interface with end customers to influence software development.Our values Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers' business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn't right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don't have the luxury of patience. We play to win. We care about our product being the best, and when it isn't, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other's personal and professional achievements.What we offer We want our benefits to reflect our values and offer the following to full-time employees:Flexible (unlimited) paid time offMedical, dental, and vision benefits for you and your familyLife insurance and disability benefitsRetirement plan dependent on country of employmentParental leaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energizedDiscretionary benefit stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with us We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.TPBN1_UKTJ

About us At Sierra, we're creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google's AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.What you'll do Build Enterprise-grade AI Agents : As an Agent PM at Sierra, you will be responsible for partnering directly with our engineers and customers to build and ship AI agents that handle thousands of customer conversations a day.Engage with Customers : In the role, you will engage with all levels of our customers' businesses:Discover and assess their requirements.Prepare and present demonstrations of Sierra's agent.Address and overcome technical challenges in the business process by working with technical counterparts.Develop and improve Sierra virtual agents to fit and anticipate our customers' needs and business processes.Become trusted advisors and drive strategic technical strategies for our customers.Shape the Product Roadmap : Work with Sierra's engineering and product development teams to scope and implement new features essential to the success of your customers.What you'll bring 5-7+ years experience in product development of highly technical products.Past experience in Product Management or other similar product development roles at or above the level of Senior Product Manager.Experience crafting and tailoring a message for potential customers, including executives.Ability to communicate highly technical concepts to both non-technical and technically proficient audiences, including recent AI developments.Degree in a technical or related field, or equivalent professional experience.Even better... AI-related experience (experience with product development for AI agents a plus).Some coding experience with React, Typescript, and Go.MBA or equivalent professional experience (while this is a product management role, you will have the opportunity to lean into broader business roles).Past roles that interface with end customers to influence software development.Our values Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers' business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn't right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don't have the luxury of patience. We play to win. We care about our product being the best, and when it isn't, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other's personal and professional achievements.What we offer We want our benefits to reflect our values and offer the following to full-time employees:Flexible (unlimited) paid time offMedical, dental, and vision benefits for you and your familyLife insurance and disability benefitsRetirement plan dependent on country of employmentParental leaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energizedDiscretionary benefit stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with us We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.TPBN1_UKTJ

About us At Sierra, we're creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google's AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.What you'll do Build Enterprise-grade AI Agents : As an Agent PM at Sierra, you will be responsible for partnering directly with our engineers and customers to build and ship AI agents that handle thousands of customer conversations a day.Engage with Customers : In the role, you will engage with all levels of our customers' businesses:Discover and assess their requirements.Prepare and present demonstrations of Sierra's agent.Address and overcome technical challenges in the business process by working with technical counterparts.Develop and improve Sierra virtual agents to fit and anticipate our customers' needs and business processes.Become trusted advisors and drive strategic technical strategies for our customers.Shape the Product Roadmap : Work with Sierra's engineering and product development teams to scope and implement new features essential to the success of your customers.What you'll bring 5-7+ years experience in product development of highly technical products.Past experience in Product Management or other similar product development roles at or above the level of Senior Product Manager.Experience crafting and tailoring a message for potential customers, including executives.Ability to communicate highly technical concepts to both non-technical and technically proficient audiences, including recent AI developments.Professional fluency in both German and English.Degree in a technical or related field, or equivalent professional experience.Even better... AI-related experience (experience with product development for AI agents a plus).Some coding experience with React, Typescript, and Go.MBA or equivalent professional experience (while this is a product management role, you will have the opportunity to lean into broader business roles).Past roles that interface with end customers to influence software development.Our values Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers' business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn't right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don't have the luxury of patience. We play to win. We care about our product being the best, and when it isn't, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other's personal and professional achievements.What we offer We want our benefits to reflect our values and offer the following to full-time employees:Flexible (unlimited) paid time offMedical, dental, and vision benefits for you and your familyLife insurance and disability benefitsRetirement plan dependent on country of employmentParental leaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energizedDiscretionary benefit stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with us We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.TPBN1_UKTJ

About us At Sierra, were creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Googles AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.What youll do Design and deliver production-grade AI agents : You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypesthey are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce.Drive the Agent Development Life Cycle (ADLC) : You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way.Partner with large enterprises and cutting-edge startups: Youll work directly with leaders at some of the worlds largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in London, embedding AI agents across their entire business stack to drive innovation and efficiency.Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product.Example projects These are some examples of projects that engineers on our team have worked on recently:Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churnDevelop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendationsCreate generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog!Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent developmentExperiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customersWhat you'll bring Experience building and scaling end-to-end production systemsStrong technical problem-solving skills, especially in fast-changing, ambiguous environmentsA builder and tinkerers mindset with high agency - you find creative ways to overcome obstacles and shipComfort working directly with customers to understand their needs and solve real-world problemsExcellent communication skills - clear, direct, and persuasive across technical and non-technical audiencesEven better... Experience building or deploying AI/LLM systems in productionHave been a founder or founding engineer - you know what it means to balance craft, ownership, and speedFamiliarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineeringPrior experience with React, TypeScript, and/or GoPrevious roles where you interfaced with customers or led technical projects with external stakeholdersOur values Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isnt right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we dont have the luxury of patience. We play to win. We care about our product being the best, and when it isnt, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each others personal and professional achievements.What we offer We want our benefits to reflect our values and offer the following to full-time employees:Flexible (unlimited) paid time offMedical, dental, and vision benefits for you and your familyLife insurance and disability benefitsRetirement plan dependent on country of employmentParental leaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energizedDiscretionary benefit stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with us We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.TPBN1_UKTJ

AI Large Language Mode (LLM) Technology Lead/Principal ArchitectCareer Level: Senior Manager / Associate DirectorYOU AREAs a Lead or Principal AI Architect, you will serve as the definitive technical authority on AI architecture within client engagements and across the practice. You will own the complete, end-to-end architecture of advanced AI platforms and solutions spanning classical machine learning, generative AI, and agentic systems ensuring every domain of the architecture is cohesively designed, technically sound, and purposefully aligned to client business objectives and enterprise-grade standards.A defining dimension of this role is your ability tooperateat the executive level working closely with CIOs, CTOs, and senior business leaders to help shape and articulate the enterprise AI strategy. You will connect business goals, priorities, and transformation agendas to a coherent technical vision, ensuring AI investments are purposeful, sequenced, and positioned to deliver lasting competitive advantage. This strategic partnership with client leadership distinguishes you as both a trusted advisor and a principal architect.In this role, you will lead and integrate the work of multiple domain architects and subject matter specialists across areas such as agentic application design, AI security and trust, AI operations and observability, data and knowledge engineering, and model platforms and inference providing the architectural vision, technical governance, and cross-domain coherence that binds their contributions into a unified, enterprise-ready system. You will set the architectural direction, resolve cross-domain tensions, and makethe criticaldesign decisions that shape the entire AI solution. Beyond client delivery, you will be recognized as a thought leader and leading authority in AI staying at the forefront of the latest research, emerging standards, industry innovations, and evolving technology landscapes. You will actively shape the practice's AI architecture point of view, contribute to internal knowledge, frameworks, and reusable assets, and represent the firm externally through publications, conference engagements, and client advisory conversations. Your perspective on where AI is heading will besoughtby clients, practice leadership, and peers alike.You will evaluate and make definitive decisions on design patterns, technical frameworks, reference architectures, and technology selections balancing innovation with pragmatism to deliver systems that are robust, scalable, and built to last. This includes providing architectural oversight across AI agent ecosystems encompassing multi-agent orchestration, tool use, skills use, and memory systems, as well as foundation model integration, fine-tuning strategies, and classical ML model deployment within cohesive, production-ready platforms. You will be accountable for ensuring the complete architecture meets the most rigorous non-functional requirements across security, observability, governance, performance, and scalability and that these concerns are addressed holistically and consistently across all domains. You will produce and govern the authoritative architecture artifacts that guide delivery at scale including architecture decision records (ADRs), reference architectures, component and data flow diagrams, and integration specifications and provide the executive-level technical leadership that gives cross-functional engineering teams, domain architects, and client stakeholders the clarity and confidence to execute. Your work will be instrumental in defining how the most ambitious clients adopt, scale, and lead with AI setting a standard for what advanced AI architecture can and should look like, and delivering transformational, lasting business value.THE WORKPartner with CIOs, CTOs, and business leaders to shape the enterprise AI strategy, connecting business goals to a coherent, sequenced technical visionLead enterprise AI assessments and build enterprise AI implementation roadmaps that sequence investments for lasting competitive advantageOwn the complete, end-to-end technical solution for complex AI platforms ensuring every domain is cohesively designed and aligned to businessobjectivesand enterprise standardsTranslate the governing architecture principles into a concrete, defensible technical solution that domain teams build againstBuild innovative prototypes and proofs of concept hands-on, using emerging technologies to de-risk decisions and prove value earlyPerform technology assessments and comparisons, making definitive, evidence-based recommendations on tools, frameworks, and platformsSet the architectural direction for model- and tool-agnostic multi-agent ecosystems orchestration, memory, and tool/skill use governed through a registry-bound AI GatewayEstablish the agent registry and certification model that mandates no uncertified agent reaches productionDefine memory as a first-class abstracted platform service, decoupled from any underlying vendor engineDefine the foundation model and inference strategy adaptation, fine-tuning, and dynamic cost/quality/latency-aware routingSet the standards for high-throughput, low-latency inferencing and classical ML deployment within unified, production-ready platformsOwn the architecture of the enterprise context layer knowledge graphs, ontologies, vector search, and semantic retrieval grounding the solution in client knowledgeSet the design direction for context assembly and memory that manages prompts, context windows, and conversational state across the platformBe accountable for security, governance, observability, performance, and scalability addressed holistically and consistently across every domainEstablish the identity and authorization model per-agent identity, IAM/IAP binding, and defense-in-depth enforcementDefine the layered guardrail framework applied at every boundary, balancing protection with performanceGovern the MCP control plane registry, gateway, and risk scoring across all internal and third-party serversMandate adopt-over-build for productized evaluation and observability stacksEstablish FinOps as a first-class concern usage labelling, gateway-enforced budgets, and cost-per-archetype as a planning inputMake the definitive decisions on design patterns, reference architectures, frameworks, and technology selections, balancing innovation with pragmatismLead and integrate the work of domain architects and specialists, resolving cross-domain tensions into a unified, enterprise-ready systemBuild the practice's reusable reference architectures, frameworks, and assets, with a deliberate adopt-over-build stanceConduct deep-dive architecture workshops and working sessions with client executives and engineering teamsProduce and govern the authoritative architecture artifacts blueprints, reference architectures, ADRs, and integration specifications that guide delivery at scaleServe as a recognized thought leader in AI, shaping the practice's point of view andrepresentingthe firm externally through publications and conference engagementsEDUCATIONBachelor's Degree or equivalentREQUIRED SKILLS / EXPERIENCE:Extensive experience in designing & deploying enterprise grade advanced ai solutions using agentic,generativeand classical AI/ML using at least one cloud vendor.Proven experience in the LLM and Generative AI space.Well versed in architecting and operationalizing LLM driven application architecture patterns.Deep experience in engineering, machine learning, deeplearningand NLP solutions and applicationsSeveral years of hands on experience as a machine architect in the industry designing bigdata,machine learning. large scale analytical engineering solutionsAbout AccentureAccenture is a leading global professional services company that helps the worlds leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen servicescreating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the worlds leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.Visit us atEqual Employment Opportunity StatementWe believe that no one should be discriminated against because of their differences.?All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law.?Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.TPBN1_UKTJ

?? Our Mission hackajob are the makers of Archer, the fastest growing recruiting agent after crossing $3m ARR in 9 months. Archer connects directly to a company's ATS, ingests every open role, and autonomously sources, screens and delivers qualified candidates into the hiring workflow. No recruiter engagement required, no manual sourcing, no dependency on candidates logging into a platform. Archer generates supply on demand, matched to real hiring intent.The result: Archer works across 10,000 roles daily, assessing 400,000 candidates and introducing the most relevant - fully autonomously.We're backed by Series B funding and are building the category-defining agentic hiring system. We believe the recruiting stack is structurally broken: built around manual workflows, upfront supply acquisition and tools that don't flex with how companies actually hire. Archer replaces that model entirely. It automates the task chain of hiring (sourcing, qualifying, ranking, delivering) so that recruiting teams focus on decisions, not process.Overview hackajob is at the forefront of recruitment innovation, we are seeking a dynamic and resilient Account Executive to take our product to market across various verticals.You will play an instrumental role in our success as a business as you will be the driving force behind our revenue growth by being laser-focused on customer relationship building and winning new business. You will be responsible for working closely with our other AEs and amazing SDR team to generate qualified leads with senior decision-makers, and then converting these opportunities into new business deals.We want to hear from individuals who want to build their career in sales and at hackajob, as we live by the principle of hiring exceptional people and empowering them to do the best work of their careers. You'll have the opportunity to do exactly that as you will be joining a high performing Sales Team who are always seeking to break both individual and company records.Responsibilities Identify New Business Opportunities with companies who are an ideal profile for our Enterprise Technical Recruitment Solution. Partnering with SDRs where appropriate.Develop these leads into qualified opportunities each month via a multi-channel approach of phone calls, emails, video, and LinkedIn.Work closely with our marketing team to nurture and convert whitepaper leads, as well as feedback on campaigns to optimise our lead generation and customer relationship building processes.Convert leads through strategic questioning, active listening and consultative discovery to uncover potential customer pain points and gaps in their current workflow and hiring strategies.Take ownership of your customer relationship building and conversion through the sales cycle, using strong CRM hygiene to keep records up to date.Run and own rigorous and efficient sales processes with Enterprise customers.A bit about you A passion and proven ability to sell to companies.Knowledge of Talent Acquisition/Recruitment/HR Tech is essential.Comfortable and confident with Business Development, for example; initiating phone conversations, navigating questions, and overcoming objections.Proficiency using enterprise-grade sales CRM, such as Salesforce.Self-starter, confident with owning responsibilities, and experienced in seeing projects through from end to end.Excellent communication by phone and email.There is no I in a team, no working in silos; we help each other along the way, and intra-team knowledge sharing is intrinsic to hackajob success.You want to join the hackajob team - we're all in this to grow the company and succeed together.What you'll get in return: Competitive Salary and Shared Ownership: join our journey and become a valued co-owner of hackajob, sharing in our success.Vacation entitlement: enjoy 27 days of annual leave in addition to bank holidays in your country of residence. In addition, we close over the Christmas and New Year period, providing everyone with 3 days of extra time off to recharge. And if that's not enough, you also get your birthday off!hackajob passport: embrace a flexible lifestyle with the opportunity to work from anywhere in the world for 2 months each calendar year.Remote-first work environment: experience the freedom of remote work while still fostering team connection through in office time each week or month. And if you want more time in the office because that's where you perform at your best, we got you.Personalised equipment: choose between a Mac or Windows device and receive a one-off budget to create an optimal work-from-home set up.Professional development: fuel your career ambitions with access to training, coaching and mentoring, specific to your role and desired career path and in an environment that promotes learning and growth.Pension scheme: we have you covered for the future with our competitive pension scheme.Comprehensive medical and dental coverage: enjoy the peace of mind that comes with private medical and dental insurance.Best-in-class Parental leave: the primary caregiver gets 6 months of fully paid parental leave, then 75% for months 6 to 9, and 50% for months 9 to 12. The secondary caregiver gets 6 weeks fully paid that can be used in one go or split across the first year.Team activities: we have quarterly team social budgets to support spending time together, and we organise company-wide events too.TPBN1_UKTJ

The Artificial General Intelligence (AGI) Safety and Alignment Team (ASAT) aims to reduce existential and catastrophic risk from AGI and eventually Artificial Superintelligence (ASI). We research novel techniques and work with the rest of GDM and Google to apply them. We advise executive leadership on safety.ASAT has sub-teams specialising in making future Geminis more thoroughly aligned by finding and fixing sources of misalignment and exploring alignment techniques with better generalization. Preparing for future AGI risks by simulating them today and using interpretability techniques to understand AI and solve practical problems like model forensics or eval awareness. Building control for GDM's agents as defense-in-depth against potential misaligned internal deployments. Researching training techniques, like debate, for aligning superhuman AI and ways to retain, improve, and measure monitorability. Researching and implementing ways to assess the ways in which a given model might be imperfectly aligned and developing and implementing tools and AI assistance that accelerates safety research. Advising executive leadership on risks posed by AI systems via the frontier safety framework based on our threat models and evaluations.We are prioritising hires for deep alignment, alignment stress testing, language model interpretability, agent control, and amplified oversight. We are looking to grow our team with researchers and engineers. Depending on your background, we have opportunities available as both Research Scientists and Software Engineers.Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.Minimum qualifications: Bachelor's degree in Computer Science, a related Software Engineering field, or equivalent practical experience.3 years of experience in software development, ML engineering, or ML research.Experience working with research teams.Preferred qualifications: Experience conducting or contributing to applied research to improve the safety and alignment of frontier AI systems.Experience with training large models (e.g., supervised finetuning, RLHF).Responsibilities: Research new alignment methods, studying alignment failures, and applying AGI-scalable alignment techniques to frontier models.Develop adversarially robust AGI control systems and implement them in production.Research interpretability techniques to understand what AI systems are ‘thinking'.Work with product teams to ensure that our research is correctly adopted.TPBN1_UKTJ

About us At Sierra, we're creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google's AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.What you'll do As a member of our Agent Strategist function at Sierra, you will be responsible for partnering with our Agent Product Managers and Agent Engineers to scope, build, and ship AI agents that handle thousands of customer conversations a day.You'll play a central role in agent development, combining product strategy, conversational design, and customer insight to bring high-quality agents to life.Be a trusted advisor to our customers and drive their AI strategies.Build, design and refine conversational AI agents, gaining direct exposure to how these products are developed and improved.Drive execution and delivery of multiple complex, high-visibility agent development projects.Coordinate across technical and non-technical stakeholders through the full agent development lifecycle process.Ensure clear communication across all stakeholders while developing strong relationships.Contribute data-driven, strategic insights to customers and internal team decisions.What you'll bring Outstanding Communication Skills: Excellent verbal and written communication skills to convey complex technical information to non-technical stakeholders, fostering collaboration and driving projects forward with clarity.Technical Expertise: Strong understanding of software development, product management and engineering principles, enabling you to act as a strategic partner to customers and internal teams as we turn visionary ideas into agents.Problem-Solving and Analytical Skills: Strong analytical and critical thinking skills to grasp complex concepts, and to identify risks and issues, develop mitigation strategies, and handle unexpected challenges across customer relationships and products.Leadership and Team Management: Proven ability to manage multiple projects simultaneously, leading and inspiring teams to deliver innovative ideas and exceptional agents.Foundational Expertise:Degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience that demonstrates comparable expertise is a strong plus.MBA or comparable experience at the intersection of technology and operations is another strong plus.Our values Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers' business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn't right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don't have the luxury of patience. We play to win. We care about our product being the best, and when it isn't, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other's personal and professional achievements.What we offer We want our benefits to reflect our values and offer the following to full-time employees:Flexible (unlimited) paid time offMedical, dental, and vision benefits for you and your familyLife insurance and disability benefitsRetirement plan dependent on country of employmentParental leaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energizedDiscretionary benefit stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with us We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.TPBN1_UKTJ

About us At Sierra, we're creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google's AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.What you'll do Build Enterprise-grade AI Agents : As an Agent PM at Sierra, you will be responsible for partnering directly with our engineers and customers to build and ship AI agents that handle thousands of customer conversations a day.Engage with Customers : In the role, you will engage with all levels of our customers' businesses:Discover and assess their requirements.Prepare and present demonstrations of Sierra's agent.Address and overcome technical challenges in the business process by working with technical counterparts.Develop and improve Sierra virtual agents to fit and anticipate our customers' needs and business processes.Become trusted advisors and drive strategic technical strategies for our customers.Shape the Product Roadmap : Work with Sierra's engineering and product development teams to scope and implement new features essential to the success of your customers.What you'll bring 5-7+ years experience in product development of highly technical products.Past experience in Product Management or other similar product development roles at or above the level of Senior Product Manager.Experience crafting and tailoring a message for potential customers, including executives.Ability to communicate highly technical concepts to both non-technical and technically proficient audiences, including recent AI developments.Degree in a technical or related field, or equivalent professional experience.Even better... AI-related experience (experience with product development for AI agents a plus).Some coding experience with React, Typescript, and Go.MBA or equivalent professional experience (while this is a product management role, you will have the opportunity to lean into broader business roles).Past roles that interface with end customers to influence software development.Our values Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers' business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn't right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don't have the luxury of patience. We play to win. We care about our product being the best, and when it isn't, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other's personal and professional achievements.What we offer We want our benefits to reflect our values and offer the following to full-time employees:Flexible (unlimited) paid time offMedical, dental, and vision benefits for you and your familyLife insurance and disability benefitsRetirement plan dependent on country of employmentParental leaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energizedDiscretionary benefit stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with us We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.TPBN1_UKTJ

About MoneyboxAt Moneybox, our mission is to give everyone the means to get more out of life. We're guided by our belief that wealth isn't about the money, it's about the means to more - more freedom, opportunities, possibilities, and peace of mind. Moneybox is an award-winning wealth management platform, helping over one and a half million people build wealth throughout their lives, whether they're saving and investing, buying their first home, or planning for retirement.Job BriefMoneybox engineering serves more than 2M customers and runs a live service handling over 20M API requests a day. We have agreed a company-wide AI Platforms strategy, backed by a business case, and we are now building the team to deliver it. This is a newly created function and you will be its first hire.The Head of AI Platforms & Deployment is a player-manager role reporting to the Engineering Director, owning both sides of that strategy: the AI Platforms capability pillars (control, monitoring and sandboxing; agentic workflow orchestration; knowledge capture) and the AI Deployment team of forward-deployed engineers who put AI to work on real business problems. You will be hands-on from day one - enabling business deployment of AI with the tools we have today - whilst also building and delivering a business-driven, multi-year AI platforms strategy and hiring and managing the team that executes it.Why now:AI offers Moneybox significant opportunities, and unlocking them safely means managing the risks that come with it. The controls and capabilities that make that possible (gateways, sandboxing, guardrails, monitoring, perimeter defence) need dedicated leadership to build.Demand for AI-enabled business systems is real and, without a safe path, goes underground. Someone must own the graduation ladder from "works for me" to owned, reviewed business system.We are hosting customer-facing AI models as part of our Aurora financial guidance service. Serving these safely, securely and at scale needs a dedicated engineering owner.We need to evolve our current Claude, Gemini and other frontier LLM deployments into a coherent, safe and effective strategic deployment platform.You are not coming in to write a strategy deck. Pace and learning are key: we expect you to run two tracks in parallel from day one -enable the do-ers , helping the business use AI safely with what we have today rather than gating everything behind platform build, andbuild the strategic platform . Key decisions should be made within your first two to three months and material platform improvements live within six. You will hire further engineers before the end of the year, growing the team as the benefits compound.What You'll Do Own the AI platform strategy. Risk management, horizon scanning, supplier selection and vendor management, business case ownership, and benefits realisation through a coherent, business-driven delivery roadmap that is trusted by stakeholders across Moneybox.Build and lead the AI Deployment team. Hire, line-manage and set the engagement priorities and delivery standards for a team of forward-deployed AI engineers, working alongside embedded specialists while we hire. Grow into managing both the platform and deployment sub-teams as the function expands.Own perimeter safety in an AI-native world. Set and own our defensive AI strategy, with execution carried out in collaboration with Tech Ops. Our Principal Cloud Architect, who owns overall cloud strategy, is a key partner.Own AI platforms and costs. Harnesses, tooling, cost management, forecasting and optimisation (including usage-based pricing shifts), and the staff access model. This includes:AI safety for internal use : sandboxing, policy, integrations, MCP governance, usage guardrails and monitoring expectations.The three platform pillars : control, monitoring and sandboxing (LLM and MCP gateway, anonymisation, local hardening, sandboxed cloud agent hosting); agentic workflow orchestration (a "software factory" in the cloud with hybrid self-serve and engineering-managed workflows); and knowledge capture and organisation.AI workflow tooling and the tiered graduation ladder from personal tool, to shared tool, to business system.Evolving existing deployments : tactical enhancement of what we run today so it aligns with the strategic direction.Own model hosting and scaling. Hosting and scaling for AI and model workloads, including the customer-facing models behind our Aurora financial guidance service, with execution in collaboration with Tech Ops. Model safety and performance for customer-facing AI is shared with our Decisioning and Data Science teams: they own what happens inside the model, you own everything surrounding it.Enable the do-ers. Give departments a working answer for using AI today - clear guardrails on what is allowed now and fast risk assessment rather than blanket restriction - and make sure demand arrives through the front door.This role is explicitly not ML model development or data science, general cloud infrastructure ownership, or general engineering delivery - although our squads and engineering leads are customers of the platforms you build.Who You Are A proven engineering leader who has gone deep on AI. You have managed engineers and managers, run programmes, owned budgets and supplier relationships, and in the last two to three years you have owned an AI platform or enablement capability in a real organisation. Not a spectator or strategist-only.A player-manager. You are comfortable getting hands-on in the early months and equally comfortable stepping back as the team you have hired takes it on.Strategic and accountable. You build and deliver a 12-18 month strategy aligned to company objectives, make well-informed and timely decisions, and take full ownership of your function's performance and commitments.Unusually cross-functional. Every department is your stakeholder and customer. You will be recognised as the AI platforms expert at Moneybox, influencing exec and departmental leaders and resolving boundaries with Tech Ops and Decisioning through shared goals rather than turf.A team builder. You will build this team from scratch rather than inherit one, establishing a performance culture, developing your people, and running a team that itself models AI-enabled productivity.Commercially literate. You can express platform investment in ROI and EBITDA terms to a non-technical exec, and defend a risk position - on a connector approval, a token-versus-agent permission gap, a vendor - with clear reasoning.Experience & Skill Essential Proven engineering leadership: has managed engineers and managers, run programmes, owned budgets and supplier relationships.Has owned an AI platform or enablement capability in a real organisation in the last 2-3 years: deployed AI tooling company-wide, set governance, managed cost at scale.Has built or significantly scaled a team.Current, hands-on fluency with the modern AI stack: frontier model platforms, agentic tooling and harnesses, MCP and integration patterns, evals, prompt and context engineering.AI security and governance: sandboxing, gateways (LLM, MCP, AI), DLP, guardrail enforcement and data-boundary reasoning; able to form and defend risk positions.Cost engineering: usage-based pricing models, forecasting and optimisation levers.Enough software and cloud architecture depth to hold your own with Architects, Tech Ops and Decisioning, and to get hands-on with the platform in the early months. Our core stack is .NET on Azure and Python is the standard for AI, so we need polyglot pragmatism over allegiance to any single stack.Vendor and supplier evaluation and management in a fast-moving market.Evidence of business-case thinking: can express platform investment in ROI and EBITDA terms to a non-technical exec.Desirable Experience in financial services or another regulated industry, or a comparable risk-context environment.Hands-on experience selecting or implementing LLM/MCP gateways, sandboxed agent hosting or agentic workflow orchestration platforms.Experience serving customer-facing AI models in production and partnering with data science teams on model safety and performance.TPBN1_UKTJ

About MoneyboxAt Moneybox, our mission is to give everyone the means to get more out of life. We're guided by our belief that wealth isn't about the money, it's about the means to more - more freedom, opportunities, possibilities, and peace of mind. Moneybox is an award-winning wealth management platform, helping over one and a half million people build wealth throughout their lives, whether they're saving and investing, buying their first home, or planning for retirement.Job BriefMoneybox serves more than 2M customers and runs a live service handling over 20M API requests a day. We have agreed a company-wide AI Platforms strategy and are building a new AI Deployment team to deliver on it. This is the first of several Senior AI Deployment Engineer hires, reporting to the Head of AI Platforms & Deployment.You will be a forward-deployed senior engineer who unlocks AI-driven solutions to business problems: an expert in deploying AI and using it safely, not an ML modeller. The work is mainly Python across the modern AI engineering stack - harness engineering, skills and tool building, agent workflows and orchestration, agent hosting and sandboxing, guardrails, evals, RAG and context engineering, and tokenomics (cost, latency, model selection). Production-grade LLM system experience is the core requirement.You will work on three types of project:Departmental engagements. Embed with departments to AI-enable tasks and processes in a more sophisticated way than "just ask Claude" - for example, Python pipelines where one step is an LLM API call - delivering real incremental value with each engagement and transforming working patterns into load-bearing, AI-enabled business processes.Customer-facing AI deployment. Deploy and integrate AI components built by our ML and Decisioning teams into production: the engineering implementation layer between a working model and a live customer feature.AI platform capabilities. Work with the AI Platforms team to turn engagement patterns into safe, increasingly self-serve company-wide tooling.Departments across Moneybox are already building AI tools themselves - we want to provide them with a safe path to load-bearing use at scale. This role catches that demand and matures it properly.What You'll Do Own engagement delivery end to end. Scope with the department, design the solution, build it, deploy it, and agree the handover and ownership model - from prototype through to stable production. Engagements arrive as vague pain; you define the problem, not just the solution.Engineer AI solutions properly. Pipelines, LLM API integration, evals, guardrails, monitoring, and cost and accuracy optimisation for the systems you build. Know when a step must be deterministic and when an LLM is the right tool.Graduate tools into business systems. Take shared, team-load-bearing tools that people have built for themselves and rebuild them as owned business systems under a full SDLC where the value justifies it.Deploy ML-built components into production. Serving, integration with the Moneybox platform, and everything surrounding the model, in partnership with Decisioning and Data Science teams (who own what happens inside the model) and our engineering squads.Build reusable capability. Convert engagement learnings into shared tooling, templates, playbooks and self-serve workflows on the AI Platforms stack. Building out platform components including guardrails, sandboxing, workflows, and gateways.Raise the bar. Work alongside embedded specialists during the team's ramp-up, absorbing and internalising their output so the capability stays with Moneybox.In your first three months we expect your first departmental engagements to be selected on feasibility and delivered with measurable business value - time saved, cost avoided, risk removed - and at least one ML-built capability deployed to production with proper evals, monitoring and cost controls.This role is explicitly not ML model training or data science, and it is not a chatbot-prompting generalist: this is production software engineering with AI at its core.Who You Are A production engineer with AI at the core. You have built and shipped LLM-powered systems that ran in production and can talk concretely about evals, failure modes, cost curves, and what you would do differently.Comfortable in ambiguity. You can walk into a department with a vague problem and leave with a scoped, deliverable system, and you are managed by exception rather than by direction.A strong partner to non-technical owners. Embedding, scoping and communicating with people who own a business process but not the technology is the job, not a distraction from it.A platform thinker. You have turned one-off solutions into reusable tools or platforms before and you look for the pattern in every engagement.Operationally minded. You care about monitoring, cost and reliability of what you ship, and about making a prototype into a system someone can rely on.Safety-conscious by habit. PII handling, data-boundary discipline, prompt-injection awareness, human-in-the-loop design and graceful failure are how you build, not a checklist you apply afterwards.Skills & Experience Essential 5+ years of software engineering with meaningful production ownership.Has built and shipped LLM-powered systems that ran in production.Production-grade Python as your primary language.LLM-powered systems in production: real-world experience working with models via APIs - harnesses, orchestration, structured output, tool use and agents, RAG where appropriate.Evals and quality: designing evaluation sets, measuring accuracy, recall and precision for LLM steps, regression-testing prompts and workflows.Safety and guardrails in practice: PII handling, data-boundary discipline, prompt-injection awareness, human-in-the-loop design.Cost and performance optimisation: model selection, caching, batching, token economics, latency budgets.Deployment and operations: CI/CD, containerisation, monitoring and alerting for AI workloads.Data processing fundamentals: pipelines, transformation, validation, anomaly handling.Customer- or stakeholder-facing delivery experience: consultancy, forward-deployed engineering, solutions engineering, or embedded or platform roles serving non-engineering users.Desirable Experience with Azure and/or .NET. We host on Azure and our core stack is .NET, so willingness to integrate with both is required; existing expertise is a bonus rather than a requirement.Experience with agent hosting and sandboxing platforms, LLM or MCP gateways, or agentic workflow orchestration tooling.Experience in financial services or another regulated environment.Experience deploying models built by a data science team into customer-facing production systems.TPBN1_UKTJ

Skills and CompetenciesDemonstrated experience building or evaluating AI/ML-powered products, including familiarity with evaluation methodologiesUnderstanding of large language models (LLMs) and generative AI concepts, including AI agents, prompt engineering, context management, and Model Context Protocol (MCP), including MCP Apps and their UI capabilitiesMastery of AI tools, in particular Claude Desktop and Claude Code, with day-to-day use to work faster while maintaining safety and responsible-use standardsMastery of AI Skills: authoring and applying reusable, packaged capabilities to extend and standardize AI tools and agent workflowsDemonstrated hands-on proficiency with AI-assisted development tools such as Claude Code or GitHub CopilotStrong analytical mindset with the ability to define evaluation frameworks, interpret metrics, and make data-driven product decisionsAbility to translate technical concepts into clear, value-based messaging for non-technical and senior audiencesDeep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization.EducationBachelor's/Master's/PhD degree in Computer Science, Engineering, Data Science, Business, or a related fieldResponsibilitiesOwn the product lifecycle for increasing AI integration across Moody's business services and making Moody's capabilities consumable by AI agents.Make existing Moody's business services consumable by AI agents, defining how each capability is exposed and packaged for agent-based consumptionRecommend the best distribution channel for each business service, evaluating MCP, MCP App, and other options based on customer fit, reach, and technical trade-offsBuild prototypes to test in front of internal and external clients, validating fit before committing full engineering resourcesGather structured feedback from those tests to inform good, data-driven product decisionsHelp ensure every integration complies with the legal and regulatory frameworks in place, partnering with Legal, Compliance, and Risk as neededHelp build and maintain the end-to-end evaluation framework for AI-integrated services, contributing to metrics, benchmarks, and acceptance criteria before each production deploymentDesign and maintain evaluation pipelines, ensuring accuracy, recall, and explainability standards are metDefine and track performance KPIs across latency, accuracy, hallucination rate, coverage, and user satisfaction, balancing quality, cost, and scaling requirementsDrive continuous improvement cycles based on evaluation results, customer feedback, and production monitoring dataContribute to the business case and OKRs for the domain, helping define value hypotheses and track benefits realization post-launchSupport product definition for MCP and MCP App integrations, enabling external AI systems to consume Moody's capabilities via standardized interfacesHelp shape the MCP App surface area, leveraging the protocol's new UI capabilities to deliver richer, interactive experiences directly within AI agents rather than text-only tool outputsDefine the MCP tool and resource surface area, determining how Moody's capabilities are exposed and where an MCP App UI adds value over a standard tool callPartner with engineering to design, build, and iterate on MCP server and MCP App implementations, ensuring reliability, security, and compliance with data governance standardsValidate MCP and MCP App integrations through structured testing with partner AI systems and customer environmentsUse AI tools such as Claude Desktop and Claude Code to rapidly prototype capabilities, validate hypotheses, and accelerate delivery while keeping safetyAuthor and apply AI Skills to standardize and scale agent workflowsSupport solution discovery through customer engagements, beta and trial deployments, and design sprints that validate fit before committing full engineering resourcesWork embedded with engineering teams from concept through production, maintaining accountability for delivery timelines and qualityDocument architectures, evaluation results, and best practices to enable repeatability and scaleChampion the AI-First mindset across the segment, identifying opportunities to embed Moody's AI capabilities into customer workflowsMentor peers on AI product practices, evaluation approaches, AI-assisted development, and AI Skills, contributing to the broader team's capabilityPartner with Pre-Sales on customer engagements, leading technical discovery sessions, demonstrations, and solution workshopsAlign with Commercial Strategy on market intelligence, competitive landscape, and go-to-market prioritiesCollaborate with Legal, Compliance, and Risk teams to ensure capabilities meet regulatory requirements and responsible AI standardsInteract with ML Engineering and Operations teams to ensure implemented solutions are enterprise-grade, meeting production standards for scalability, reliability, security, monitoring, and supportabilityAbout the TeamYou will join the C&G Product Builders team, which unites product vision with engineering excellence to deliver solutions across Moody's client base, including corporate and government. The team builds end-to-end, from data to AI agents and customer-facing analytics, operating in squads that own the full lifecycle from solution concept to production. This role is at the center of Moody's push to make its business services consumable by AI, delivered across Moody's platforms and external MCP channels including marketplaces, customer platforms, and foundational models like Claude and ChatGPT. With a strong growth mandate and global reach, the team offers a dynamic environment where rapid solution prototyping, deep technical collaboration, and ownership define how work gets done.TPBN1_UKTJ

At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.Skills and CompetenciesExperience and/or exposure in data science, machine learning, or applied artificial intelligence, including experience working on projects or collaborating with data scientists and engineersHands-on experience building, training, and evaluating machine learning and deep learning models, including modern architectures such as transformers, with the ability to assess where advanced approaches outperform classical methods and where they do notStrong programming skills in Python, with practical experience deploying machine learning models and services into production environmentsPractical experience using AI coding assistants and agentic developer tools such as Claude Code and OpenAI Codex to accelerate development, testing, and code review, with familiarity across the software development lifecycle and machine learning operations practicesStrong working knowledge of large language models (LLMs), including prompting, fine-tuning, retrieval-augmented generation (RAG), and evaluation techniques, and the ability to apply them to real product challengesExperience with agentic AI frameworks and libraries in Python, such as AWS Bedrock AgentCore, LangChain/LangGraph, CrewAI, or the OpenAI Agents SDK, with an understanding of agent design patterns including tool use, orchestration, memory, and multi-agent workflowsAbility to own the full model-development lifecycle, including problem framing, data exploration, solution design, estimation, validation, deployment, and ongoing monitoringAbility to explain, present, and demonstrate complex modeling work clearly to senior leaders, cross-functional partners, and non-technical stakeholdersWorking knowledge of cloud-based data and machine learning platforms such as AWS, Azure, GCP, and Databricks, as well as the broader ecosystem used to build and deploy AI and ML productsDeep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization.EducationDegree in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or a related quantitative field is required; a Master's or Ph.D. in a related discipline is preferred, but not requiredResponsibilitiesLead the design, development, and delivery of innovative AI, ML, and GenAI solutions that create meaningful value for clients and advance product capabilities across the Corporate and Governments business.Lead the end-to-end design, development, and deployment of machine learning, AI, and GenAI solutions that enhance existing products and enable new client-facing capabilitiesPartner with product, engineering, and business stakeholders across the Corporate and Governments business to translate client needs and market opportunities into well-scoped data science initiativesOwn model selection, experimentation, and validation end-to-end, ensuring solutions are accurate, scalable, compliant with applicable regulations and legal frameworks, and production-readyIdentify opportunities for automation and model-based enhancement, applying machine learning and deep learning methods to improve accuracy, efficiency, and overall performanceFoster best practices in coding, experimentation, machine learning operations, and software engineering excellenceDrive responsible AI practices across the team, including risk management, model governance, and the ethical use of AI and machine learning techniquesCommunicate technical work clearly and concisely, ensuring insights, limitations, and implications are understood by a broad range of stakeholders, including senior leadersAbout the TeamOur Data Science, Machine Learning & Engineering (DSMLE) team, part of the broader Corporate and Governments (C&G) Data Team, is responsible for designing, building, and enhancing products through AI, machine learning, and generative AI solutions that deliver innovation and value to clients. By joining the team, you will work at the forefront of applied AI and GenAI, translating advanced techniques into client-facing products, collaborating with a global cross-functional data organization, and helping shape a growing practice focused on the responsible, ethical, and impactful use of artificial intelligence.#LI-HybridMoody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.TPBN1_UKTJ

Senior Data Scientist IExcited to uncover insights from complex data and turn them into impactful business decisions?Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data?About the team:LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world's most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows.Protégé in PatentSight is LNIP's next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics.About the role:We are seeking a Senior Data Scientist I to help with the design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions.Key Responsibilities:Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search).Define agentic workflows and reasoning strategies for multi-step IP tasks.Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).Analyse large-scale IP datasets to extract insights and improve model performance.Establish best practices for model evaluation, validation, and benchmarking.Translate experimental results into clear product recommendations and business impact.Collaborate with product, IP experts, and engineers to align solutions with user needs.Requirements:Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.).Strong experience in machine learning, NLP, and LLM-based modeling.Strong experience designing and running experiments, including model evaluation and iteration.Strong coding skills in Python.Experience with generative AI techniques (e.g., prompt engineering, RAG).Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real-world use cases.Proficiency in data analysis tools.Strong foundation in statistics, modeling, and large-scale text processing.Why Join Us?Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply.Work in a way that works for youWe promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.Working for youWe know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:Generous holiday allowance with the option to buy additional days.Health screening, eye care vouchers, and private medical benefitsWellbeing programsLife assuranceAccess to a competitive contributory pension schemeSave As You Earn share option scheme.Travel Season ticket loan.Electric Vehicle SchemeOptional Dental InsuranceMaternity, paternity, and shared parental leaveEmployee Assistance ProgrammeAccess to emergency care for both the elderly and childrenRECARES days, giving you time to support the charities and causes that matter to you.Access to employee resource groups with dedicated time to volunteer.Access to extensive learning and development resourcesAccess to the employee discounts scheme via Perks at WorkAbout the business-At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measureds by how well we deliver these results.We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.USA Job Seekers:EEO Know Your Rights.TPBN1_UKTJ

About us At Sierra, we're creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google's AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.What you'll do As a member of our Agent Strategist function at Sierra, you will be responsible for partnering with our Agent Product Managers and Agent Engineers to scope, build, and ship AI agents that handle thousands of customer conversations a day.You'll play a central role in agent development, combining product strategy, conversational design, and customer insight to bring high-quality agents to life.Be a trusted advisor to our customers and drive their AI strategies.Build, design and refine conversational AI agents, gaining direct exposure to how these products are developed and improved.Drive execution and delivery of multiple complex, high-visibility agent development projects.Coordinate across technical and non-technical stakeholders through the full agent development lifecycle process.Ensure clear communication across all stakeholders while developing strong relationships.Contribute data-driven, strategic insights to customers and internal team decisions.What you'll bring Outstanding Communication Skills: Excellent verbal and written communication skills to convey complex technical information to non-technical stakeholders, fostering collaboration and driving projects forward with clarity.Technical Expertise: Strong understanding of software development, product management and engineering principles, enabling you to act as a strategic partner to customers and internal teams as we turn visionary ideas into agents.Problem-Solving and Analytical Skills: Strong analytical and critical thinking skills to grasp complex concepts, and to identify risks and issues, develop mitigation strategies, and handle unexpected challenges across customer relationships and products.Leadership and Team Management: Proven ability to manage multiple projects simultaneously, leading and inspiring teams to deliver innovative ideas and exceptional agents.Foundational Expertise:Degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience that demonstrates comparable expertise is a strong plus.MBA or comparable experience at the intersection of technology and operations is another strong plus.Our values Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers' business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn't right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don't have the luxury of patience. We play to win. We care about our product being the best, and when it isn't, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other's personal and professional achievements.What we offer We want our benefits to reflect our values and offer the following to full-time employees:Flexible (unlimited) paid time offMedical, dental, and vision benefits for you and your familyLife insurance and disability benefitsRetirement plan dependent on country of employmentParental leaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energizedDiscretionary benefit stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with us We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.TPBN1_UKTJ

Agentic Forward Deployed EngineerRate: £600 per day - Outside IR35Contract: 6-12 monthsWorking Pattern: Hybrid - 3 days per week on-siteIndustry: Public Sector - International EducationWe are recruiting a Principal-level Agentic Forward Deployed Engineer to support a major AI-enabled digital transformation programme within a large international organisation.The organisation is adopting an agentic-first approach to software engineering and wants to move from individual experimentation towards a scalable, secure and maintainable enterprise model for AI-assisted development.Experienced engineering teams are already exploring agentic development. This role will establish what good looks like across the wider organisation, introducing the engineering standards, governance, security controls, evaluation frameworks, operating models and knowledge-sharing practices required to deploy agentic AI at scale.This is not a purely strategic or governance-focused role. The successful candidate must remain a credible hands-on engineer who can both define standards and actively help teams implement them.Key Responsibilities. Establish engineering standards and best practices for enterprise agentic development. Define and implement coding-agent workflows, repository integration and appropriate code review practices. Work hands-on with engineering teams adopting agent-assisted software development. Develop reusable approaches, patterns and reference implementations for agentic engineering. Build exemplars of agentic services, AI-enabled product capabilities and coding-agent workflows. Establish governance frameworks covering agent behaviour, oversight, auditability and organisational controls. Define appropriate security controls for agentic systems. Review agentic system designs for security, permissions, data boundaries and operational risk. Establish appropriate approaches to prompt injection and other AI-specific threats. Introduce appropriate secrets management and API key protection. Address risks associated with data leakage, credential exposure and secret exfiltration. Implement AI evaluation frameworks, red-teaming approaches and appropriate guardrails. Establish safeguarding controls where AI-enabled services may interact with younger or potentially vulnerable users. Introduce monitoring, budgeting and reporting around AI model usage and inference costs. Develop approaches to AI cost observability and cost management. Establish standards around maintainability, monitoring and operational support. Work with engineering teams on prompts, context, configuration, tools, APIs, integrations and workflows. Contribute directly to coding and implementation where required. Work collaboratively with architecture, engineering, governance and security teams. Coach engineering teams in the adoption of effective agent-assisted development practices. Deliver structured knowledge transfer and upskilling. Establish sustainable internal ownership so key practices remain embedded beyond the engagementEssential Skills and Experience. Principal, Staff or equivalent-level engineering experience. Proven experience building, securing and operating production agentic AI systems. Evidence of implementing agentic AI within a genuine enterprise or large-scale production environment. Experience extending AI adoption beyond individual proof-of-concept or personal experimentation. Strong hands-on software engineering capability. Experience implementing AI-enabled engineering workflows. Strong understanding of large language models and agentic architectures. Experience with LLM evaluation, testing, red-teaming and guardrail design. Strong understanding of AI security risks and appropriate mitigation strategies. Experience introducing engineering standards, governance or organisational controls around AI. Experience operating within enterprise requirements covering security, data protection, compliance and governance. Understanding of cost management associated with large-scale AI usage. Strong understanding of software architecture, maintainability and operational support. Ability to evaluate architectural and engineering trade-offs associated with AI-assisted development. Excellent stakeholder management and communication skills. Ability to influence senior engineers, architects and technology leaders. Experience establishing AI enablement, engineering or platform capability within an organisationRelevant Technology ExperienceExperience with one or more of the following would be particularly relevant:. Anthropic Claude and the wider Claude ecosystem. OpenAI and GPT-based technologies. AWS Bedrock. Google Gemini and associated AI technologies. Enterprise use of open-source large language models. Agentic development frameworks and tooling. AI-assisted software engineering environments. Prompt and context engineering. API-driven AI integrations. Webhooks and automated agent workflowsCandidate ProfileThis is a senior, Principal-level requirement and the organisation is particularly interested in candidates who have implemented agentic AI at meaningful enterprise scale.The organisation already has capable engineers experimenting with agentic development. This role requires someone who understands the wider picture: how these capabilities are governed, secured, evaluated, monitored, funded, maintained and scaled across an organisation.Applicants must already have unrestricted right to work in the UK. Visa sponsorship is not available for this opportunity.*Rates depend on experience and client requirementsTPBN1_UKTJ

About us At Sierra, were creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Googles AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.What you'll do As a member of our Agent Strategist function at Sierra, you will be responsible for partnering with our Agent Product Managers and Agent Engineers to scope, build, and ship AI agents that handle thousands of customer conversations a day.Youll play a central role in agent development, combining product strategy, conversational design, and customer insight to bring high-quality agents to life.Be a trusted advisor to our customers and drive their AI strategies.Build, design and refine conversational AI agents, gaining direct exposure to how these products are developed and improved.Drive execution and delivery of multiple complex, high-visibility agent development projects.Coordinate across technical and non-technical stakeholders through the full agent development lifecycle process.Ensure clear communication across all stakeholders while developing strong relationships.Contribute data-driven, strategic insights to customers and internal team decisions.What you'll bring Outstanding Communication Skills: Excellent verbal and written communication skills to convey complex technical information to non-technical stakeholders, fostering collaboration and driving projects forward with clarity.Technical Expertise: Strong understanding of software development, product management and engineering principles, enabling you to act as a strategic partner to customers and internal teams as we turn visionary ideas into agents.Problem-Solving and Analytical Skills: Strong analytical and critical thinking skills to grasp complex concepts, and to identify risks and issues, develop mitigation strategies, and handle unexpected challenges across customer relationships and products.Leadership and Team Management: Proven ability to manage multiple projects simultaneously, leading and inspiring teams to deliver innovative ideas and exceptional agents.Foundational Expertise:Degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience that demonstrates comparable expertise is a strong plus.MBA or comparable experience at the intersection of technology and operations is another strong plus.Our values Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isnt right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we dont have the luxury of patience. We play to win. We care about our product being the best, and when it isnt, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each others personal and professional achievements.What we offer We want our benefits to reflect our values and offer the following to full-time employees:Flexible (unlimited) paid time offMedical, dental, and vision benefits for you and your familyLife insurance and disability benefitsRetirement plan dependent on country of employmentParental leaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energizedDiscretionary benefit stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with us We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.TPBN1_UKTJ

Saunders Abbott Ltd / AWTuning is a family run business based in Sidcup, we have a rich history in the VWG group, having been a Skoda main agent for many years we have now shifted our focus to becoming the souths premier VWG specialist along with all makes and model servicing and repairs.SummmaryOur company is hiring a Vehicle Technician to join our team the tasks that they are likely to be carrying out involve vehicle servicing, diagnostic and repairs. We work on a lot of VWG vehicles alone with a good customer base of other makes and models, the role would also include inspecting and preparing vehicles for our sales department.For this position, we're looking for a self-motivated individual with experience working in a workshop environment. Our ideal candidate has a minium of 5 years mechanical experience and must have a full UK driving licenceMonday to Friday with the option of over time on a Saturday but not mandatory.ResponsibilitiesPerform routine maintenance and repairs on a variety of vehiclesDiagnose mechanical issues and provide effective solutionsUtilize hand tools and power tools safely and effectivelyMaintain accurate records of services performedCollaborate with team members to enhance service efficiencyEnsure compliance with safety standards and regulationsCommunicate effectively with our service advisorsQualificationsProven experience as a Vehicle Technician or similar roleStrong mechanical knowledge and expertise in vehicle maintenanceProficient in using hand tools and power toolsFamiliarity with diagnostic equipmentExcellent problem-solving skills and attention to detailAbility to work independently as well as part of a teamStrong communication skills to interact with customers effectivelyIf you are passionate about cars and ready to take your career to the next level, we invite you to apply today and become an integral part of our family at Saunders Abbott / AWTuningTPBN1_UKTJ

At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.Skills and CompetenciesBusiness background enabling executive-level engagement, market analysis for strategic planning, and financial planning for deployment modeling7+ years of experience in data-oriented strategy, FP&A, or management consulting, with proven success delivering planning solutions in complex, matrixed environmentsDemonstrated ability to build robust financial models with large, complex datasets; sales function experience preferredStrong communicator skilled at presenting to executives, building stakeholder relationships, and collaborating in a matrix organizationHighly organized, self-disciplined, adaptable to ambiguity, and capable of driving change and tackling diverse challengesAnalytical problem-solver with a structured approach, connecting the dots and advocating for diversity in multidisciplinary teamsGrowth mindset: Curious, committed to learning, and a proactive agent for change with a can-do attitudeBasic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can improve processes and drive efficiency, alongside an interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical useEducationBachelor's degree preferred, ideally in finance, economics, or a related discipline, with an academic foundation that supports an understanding of financial markets and commercial environmentsResponsibilitiesStrategic Planning: Make use of research and advanced modelling approaches using public and internal data sources, to support and develop recommendations for go-to-market strategy. This includes adapting elements of a central strategy to accommodate regional and country-specific market differencesOpportunity and Identification: Segment and analyse customer and potential customer market data to identify opportunities to win new customers, and cross-sell more products to existing customers, coordinating with cross-functional teams where appropriate. Quantify total addressable market for customer segments and solutions and report on progressDeployment Planning: Informed by market research, strategic planning outputs and Global strategic direction, partner with Regional Sales Leadership to deliver a sales deployment solution to create scale and maximize revenue. This will include territory construction and target setting as an annual planning and modelling exercise. Promote a robust planning function by driving consistency and quality, acting as a ‘critical friend' to review and challenge the economic and financial assumptions (market growth and share, macroeconomic factors) underlying territory deploymentPerformance Reporting & KPI's: Report on actual and forecast performance compared with strategic intent and deployment goals. Develop and maintain lead and lag KPI's to further track and predict performance and deliver insightAbout the TeamThe Sales Strategist team supports the Moody's Analytics Regional Sales Leadership Team exploring growth areas aligned with Global strategic initiatives. This includes defining and planning scalable go-to-customer strategies, sales territories and targets, as well as reporting on progress against these targets.Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.TPBN1_UKTJ

Intropic is a financial information and software company operating at the cutting edge of global capital markets. We pair modern technology (elastic cloud infrastructure and agentic AI systems) with deep market expertise to build information products that the world's most sophisticated financial institutions rely on every day. Our clients include hedge funds, proprietary trading firms, index fund managers, large asset managers, sovereign wealth funds, and investment banks, who use our products to generate alpha, manage risk, and make better decisions in fast-moving markets. We're best known for our Index Rebalance Forecast products, and we're now extending that edge into several other strategies. Headquartered in London's Canary Wharf and expanding globally, we're a team that moves fast, takes real ownership, and holds itself to a high standard of rigour and integrity. You will own the entire security stack at Intropic. Cloud, endpoints, detection and response, compliance, IT, and the security of our growing AI agent usage all sit with you. You set the priorities, you do the work, and you answer for the results. This suits someone senior who would enjoy the opportunity to lead security at a growing FinTech, rather than operating with small scope in a large team. On a given week you might harden an EKS cluster, tune a detection, scope a pentest, and work out how to give engineers safe access to coding agents. The AI security work in particular is a largely unsolved, very interesting problem, and you will define our approach to it. The role includes out-of-hours response to security alerts. This is a senior role, suitable for someone with 5+ years of experience in security. It may be suitable for senior security engineers wishing to transition to a lead role if you have the required experience. • Engineer and manage the security of our cloud infrastructure across AWS and GCP, from individual EC2 instances to a large EKS microservice estate., • Run detection and response: triage alerts, expand coverage, and keep the tooling honest. If a true positive alert fires at 9pm and it matters, you are the person who handles it., • Threat model new products and services before they ship, and embed security checks directly into CI/CD., • Define what good looks like when it comes to the security of our external SaaS app integrations. This might look like building out an apporval workflow to approve new OAuth connections for our Google accounts., • Secure our use of AI agents (Claude Code, Codex, and similar) and our production generative AI systems, both client facing and internal. Work with each business unit to find mitigations that protect the company without slowing it down., • Establish an automated patching system for systems across every part of our cloud., • Own SOC 2. Run the yearly Type II audit, scope the annual web application pentest, and automate as much of the evidence collection in Drata as you can., • Evaluate where gaps exist in our security policies and build out new policies to fill those gaps., • Assist with running onboarding and offboarding for joiners and leavers, building any automation that makes both fast and complete., • Assist with managing our fleet of roughly 100 endpoints through Jamf and Intune (about 90% macOS, 10% Windows)., • Respond to colleagues' security and IT access questions, and resolve them quickly and courteously., • Own and manage our core SaaS estate, including Google Workspace and GitLab access, scripting away the repetitive parts., • 5+ years security experience spanning multiple domains. You don't have to have directly led a team before although it would be a plus., • Advanced, hands‑on knowledge of a wide range of AWS services, including but not limited to EC2, S3, GuardDuty, Lambda, ECS, and EKS, • Practical experience with Kubernetes, ideally EKS., • Experience threat modelling web applications and responding to real security incidents., • Experience using AI agents, in your own workflow or in security tooling., • Understanding of SOC 2 and comfort with Git., • Working knowledge of Jamf., • Solid scripting ability in Python or Bash, enough to automate a repetitive task and glue two systems together through their APIs, • Willingness and interest in learning and upskilling in areas of security, IT, or GRC you have not encountered before., • Ability to pivot quickly between different domains while keeping a high attention to detail and courteousness to end-users., • Experience of using both Jamf and InTune at a high level., • Experience securing microservice architectures or EKS clusters specifically., • Experience using AI agents for production security workflows., • Ability to use SQL for detection and incident investigation., • Having rolled out DAST or SAST in a production environment. #J-18808-Ljbffr

Multiverse Computing is a fast-growing deep-tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. We are the largest quantum software company in the EU, with 250+ employees worldwide building advanced AI and quantum solutions that help enterprises tackle complex, high-impact challenges across industries such as finance, energy, manufacturing, telecom, and industrials. Our mission is to enable organizations to gain a meaningful competitive edge through cutting-edge AI and quantum technologies. We are a European deep-tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide - compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50-80%. Joining us means working on cutting edge solutions that make AI faster, greener, and more accessible - and being part of a company often described as a "quantum-AI unicorn in the making." This opportunity is to work in our offices in London, UK. We are looking for a talented Solutions Architect to join our pre-sales team and bridge the gap between our technology and our customers' needs, crafting innovative, scalable, and robust AI- powered solutions. • Previous experience in a technical partner pre-sales or consulting role with a heavy emphasis on partner and customer-facing interactions (i.e. Solutions Architect, Sales Engineer, Implementation Consultant, Forward Deployment Engineer), • Excellent communication and presentation skills, able to interface effectively with technical and non-technical stakeholders; experience writing technical proposals or responding to RFPs/tenders; experience running hands-on product demos independently., • Knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., SageMaker, Vertex AI, AzureML), including sovereign, on-premise, and hybrid deployment models., • Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, safetensors, HuggingFace model hub)., • Understanding of benchmarking and LLM performance evaluation (accuracy, latency, throughput)., • Hands-on coding skills in Python, and familiarity with ML libraries and frameworks (PyTorch, TensorFlow, Hugging Face)., • Bachelor's or master's degree in Computer Science, Data Science, Engineering, or related field., • Must be available to travel as needed for meetings, conferences, and project requirements., • Languages: English., • Experience with Computer Vision models, Speech models, Vision-Language models, and other modalities., • Experience with AI model optimization, quantization, or deployment to edge devices., • Familiarity with MLOps tools and practices: CI/CD, monitoring, and orchestration frameworks (e.g., Kubeflow, Flyte, MLflow); proficiency with Docker and Kubernetes for AI workload containerization., • Hands-on experience designing RAG pipelines and/or multi-agent systems, • Understanding of sizing GPU infrastructure for LLM inference or training workloads (memory, throughput, hardware tiers from A10 to H200)., • Experience designing data architectures (batch & streaming) and working with big data technologies., • Knowledge of data privacy and ethical considerations in AI, including GDPR compliance and familiarity with the EU AI Act., • Equal pay guaranteed., • Signing bonus., • Relocation package (if applicable)., • Eligibility for educational budget according to internal policy., • Hybrid opportunity., • Flexible working hours., • Language classes and discounted lunch options, • Working in a high paced environment, working on cutting edge technologies., • Career plan. Opportunity to learn and teach. As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply. #J-18808-Ljbffr

We are building a new R&D capability focused on developing data-driven and AI-enabled solutions for legal services and the wider business of law. The AI Engineer will build end-to-end AI capabilities for R&D products: agentic workflows, retrieval and context, agent and evaluation harnesses, and the user-facing features around them. Working with the Head of R&D, you will translate agreed product and technical designs into secure, observable and maintainable products. This is a hands-on full-stack AI engineering role, with applied AI product delivery at its core. You will build AI workflows, tools and integrations, evaluation and observability capabilities, together with the APIs, services and user interfaces needed to ship them reliably. This is not a research-only role. You will apply agreed enterprise architecture, security and deployment patterns, while taking practical responsibility for code quality, testing, monitoring and troubleshooting with product, data, technology and security teams. You will join a small, hands-on multidisciplinary team. Each team member will work collaboratively across discovery, prototyping, engineering, productionisation and continuous improvement. • Build complete AI-enabled product features across user interface, backend, AI orchestration, retrieval and approved enterprise integrations., • Design and build agentic AI workflows using structured outputs, tool calling, workflow orchestration, document processing, human-review steps and appropriate controls., • Build reusable agent harnesses: practical runtime patterns around tools, state, context, approvals, traces and test fixtures that make agents consistent, inspectable and safe to use., • Build grounded retrieval and context patterns using approved data products, search indexes, document repositories and permission-aware sources; provide evidence and citations where appropriate., • Design and operate evaluation harnesses for AI workflows, including curated test sets, representative scenarios, automated and human grading, regression tests, trace review and user-feedback loops., • Manage prompts, model configuration, tool schemas and routing as tested product assets, including fallbacks and cost/latency trade-offs., • Implement AI observability through traces, logs, metrics and evaluation results, so quality, reliability, failure modes, latency and cost are visible and can be improved., • Build clear APIs and integrate AI products with approved data, document, search and business systems., • Build usable interfaces that help users understand AI output, inspect supporting evidence, provide feedback and complete review or approval steps., • Write maintainable Python and TypeScript code; use Docker, Git, automated testing and CI/CD to make development, testing and deployment repeatable., • Apply agreed security, authentication, data-handling, deployment and release patterns, working with the relevant firm technology teams where needed, • End-to-end agentic AI features and reusable harnesses for Radar and other named R&D products., • A practical evaluation and test capability that lets the team compare prompts, models, tools and retrieval approaches before and after release., • Grounded AI workflows that combine firm data, documents, market or regulatory information and user context into useful, attributable outputs., • Interfaces that make AI output, confidence, evidence, controls and next actions clear to lawyers and business users., • R&D products use AI workflows that are grounded in trusted context, observable in operation and understandable to users., • AI quality is measured rather than assumed; evaluation results, traces and feedback lead to demonstrable improvements in usefulness, reliability, latency and cost., • The engineer can independently take a well-scoped AI workflow from problem definition to controlled deployment., • At least one AI component, harness or evaluation capability is reused by a second R&D product or workflow., • Promising prototypes have a repeatable path to controlled release, monitoring and improvement., • At least three years' professional experience delivering production AI products, with demonstrable recent experience building AI-enabled products or workflows in a SaaS environment. Experience in legal technology or a law firm is not required, but would be advantageous., • Strong Python, plus practical TypeScript or JavaScript. Able to build APIs and services using FastAPI, Flask or comparable technologies, and usable interfaces using React, Next.js or equivalent., • Demonstrable experience building AI-enabled products or workflows using LLM APIs, structured outputs, retrieval and embeddings, tool calling, agents or workflow orchestration., • Experience building agentic systems using an agent framework or custom orchestration patterns, including tools, state/context management and human-review or approval controls., • Experience evaluating AI workflows using representative test sets, scenario design, model or prompt experiments, trace review, user feedback, and automated or human grading., • Experience taking AI features from prototype into controlled production, including testing, monitoring, troubleshooting and ongoing improvement., • Experience with AI observability, tracing and evaluation tooling., • Strong understanding of grounded retrieval, context quality, evidence/citations and the ways in which AI systems fail., • Experience designing APIs and integrating with enterprise systems; sound handling of authentication, authorisation, secrets and sensitive data., • Comfort with Docker, Git, automated testing and CI/CD. You do not need to be a dedicated platform engineer, but should be able to ship maintainable, repeatable work., • Strong debugging and systems-thinking skills, including the ability to diagnose failures across models, prompts, tools, retrieval and integrations., • Able to explain AI behaviour, evaluation results and technical trade-offs clearly to technical and non-technical colleagues. To attract the best people, we strive to create a diverse and inclusive environment where everyone can bring their whole selves to work, have a sense of belonging, and realize their full career potential. Our new enabled work model allows our people to have more flexibility in the way they choose to work from both the office and a remote location, while continuing to deliver the highest standards of service. We offer a range of family friendly and inclusive employment policies and provide access to programmes and services aimed at nurturing our people's health and overall wellbeing. Find more about Diversity, Equity and Inclusion here. Norton Rose Fulbright is a global law firm with more than 3,000 lawyers advising clients across locations in the United States, Europe, Canada, Latin America, Asia, Australia, Africa and the Middle East. We provide a full scope of legal services to the world's preeminent corporations and financial institutions. Our vision is to be a world class business, profitable, ambitious, cooperative and considerate, supporting our clients and people through our global business principles of Quality, Unity and Integrity. With over 7,000 employees worldwide, our culture is the thread that connects us. Our strategy and culture are closed connected - defined by shared ambition, global collaboration and a one-team mindset. We believe pioneering work happens when people are empowered to think beyond boundaries, explore new opportunities and grow through diverse experiences. Alongside the right skills and experience, we are looking for people who are innovative, commercially minded, and motivated by the impact of the work they do - ready to share in our ambition and help shape what comes next. Because while individuals can do well, together we achieve something extraordinary. #J-18808-Ljbffr

prompts, agents, and workflow designs to understand system behaviour and unlock real value - not just theoretical improvements.Synthesise findings for our Product Engineering and Platform teams, turning real usage patterns into clear, reproducible evaluations, benchmarks, and technical artefacts that improve product and platform quality.Build repeatable tools, patterns, and evaluation approaches that raise the quality bar across multiple use cases - not just one-off fixes.Operate with strong judgment in ambiguous environments, balancing immediate technical problem-solving with longer-term systemic improvement.Build relationships across our engineering and product communities, serving as a trusted technical partner to individuals and teams alike.These are some of the key components to the position:You'll thrive here if you have strong software engineering and AI fundamentals - whether that's from experience in a startup, or a product focused role in a larger org. Software engineer, ML engineer, data scientist, or equivalent. Product Managers, BAs or Technical Programme Managers keen to return to a builder role. A track record of shipping production systems end-to-end is a strong plus.What will you bring to the team?Experience building AI applications, agents, or evaluation systems, with the ability to reason clearly about model behaviour in complex workflows.Comfort working directly with highly experienced functional SMEs and translating their challenges into concrete technical signals.Fluency moving between prototyping, debugging, evaluation design, and cross-functional collaboration - sometimes all in the same day.Working across every layer of the stack - Able to switch between configuring a connector in an admin panel to prompting an agent to contribute code back to our underlying platform.Clear communication across technical and non-technical audiences - you can explain what you found and why it matters.High agency and a strong product sense, with a bias toward building things that last rather than one-off fixes.AI First problem solving, deeply experienced with AI tools to drive fast solution creation, able to balance model usage to maximise ROI, everything from coding to design and more. Bonus: Familiarity with complex market place businesses. Experience as an early-stage startup engineer or in a previous FDE style role. None of these is a dealbreaker - we're more interested in how you think than what you've already shipped.At JET, this is how we play Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. Being the best at what we do isn't just about delivering on our strategy. It's a competition for something incredibly valuable - our customers' choice. Every time a customer decides where to order, they're picking a side. At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation. These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers' loyalty, again and again. Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we're building a customer-first culture which enable us to stay one step ahead of the competition.Inclusion, Diversity & BelongingNo matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.What else is cooking?Want to know more about our JETers, culture or company? Have a look at our career site #J-18808-Ljbffr

We are looking for a ClickHouse Solutions Architect to join our team supporting the design and implementation of a greenfield, enterprise-scale ClickHouse observability platform for a global banking client. This is a genuine greenfield build at significant scale — there is no incumbent platform to inherit or work around. You will be shaping the architecture from first principles, in an environment where the performance, multi-tenancy and retention requirements are demanding enough that the design decisions made early will determine whether the platform holds up in production. We are architecting a central repository for three classes of time-series telemetry — metrics, traces and logs — serving the bank's application estate. The system requirements are: • 3 million events per second sustained, each event carrying a timestamp and full transaction payload, • Approximately 1,000 concurrent users, • Several hundred real-time dashboards, • Hundreds of distinct application codes as tenants, • Throttling and quota control required on both read and write paths, so that no single tenant can degrade another, • OpenTelemetry-native throughout: native OTel agent and native OTel collector, • No proprietary components anywhere in the agent or collector pipeline Getting this right means solving for ingest throughput, query concurrency, tenant isolation and storage cost simultaneously — the interesting part of the work is that these pull against each other, and the architecture has to reconcile them rather than optimise for any one in isolation • Run technical discovery with client stakeholders to establish workload characteristics — query patterns, latency targets, concurrency, ingest volume and velocity, retention and cost envelope, • Translate those into a target-state architecture: deployment model (ClickHouse Cloud vs self-managed on Kubernetes/VMs), cluster topology, shard and replica strategy, Keeper configuration, storage tiering, • Design the data model — table engine selection across the MergeTree family, primary/sort key design, partitioning, projections, materialized views, dictionaries, TTL and object-storage tiering, • Design the ingestion architecture — streaming (Kafka/Kinesis, Kafka table engine or ClickPipes), batch and CDC paths, idempotency and deduplication strategy, schema evolution, • Produce sizing and cost modelling, with options and trade-offs rather than a single answer, • Define the semantic and consumption layer — BI tool integration, API access patterns, downstream contracts, • Stand up the reference environment and prove the architecture against representative data volumes and query shapes, • Build and tune the ingestion pipelines to agreed throughput and freshness SLOs, • Benchmark and tune query performance against the stated latency targets; iterate on the data model where benchmarks disprove the design, • Establish infrastructure-as-code, CI/CD and environment promotion for schema and configuration changes, • Define and implement observability — system table monitoring, metrics, alerting thresholds, capacity headroom tracking, • Establish backup, restore and disaster recovery, and validate them by test, • Implement security and governance — RBAC, row/column-level access, encryption, network isolation, audit, and any sector-specific compliance requirements, • Define upgrade, patching and capacity-management procedures, • Set engineering standards and guardrails the client's teams work within — naming, modelling patterns, query review criteria, anti-patterns, • Coach and upskill the client's data engineers through pairing, review and structured sessions, • Run the handover to the client's run team against an agreed readiness checklist, • Act as escalation point for complex performance and design questions during transition, • Support pre-sales, bid and scoping work — estimating, technical qualification, solution shaping, • Build reusable assets, reference architectures and accelerators from delivered work, • Represent the practice credibly in client and community forums #J-18808-Ljbffr

Agentic Forward Deployed Engineer £550 to £650 per day outside IR 35 | 12 month contract Hybrid - Stratford, London | 2 Days Onsite per Week We are partnering with a large global education technology organisation operating across 100+ countries, generating more than £600m in annual revenue and engaging with over 2.5 million users globally. The organisation is investing heavily in its next generation of AI-native, in-house products and is looking for an experienced Agentic Forward Deployed Engineer to work at the cutting edge of agentic AI. This is a highly hands‑on role, embedding directly with engineering and programme teams to establish how production‑grade agentic systems are built, secured, evaluated and operated at enterprise scale. • Design and implement production agentic AI systems and coding-agent workflows, • Establish best practices for LLM evaluation, red-teaming and AI guardrails, • Define governance around agent behaviour, oversight, auditability and security, • Address risks including prompt injection, permissions, data boundaries and secrets management, • Build reusable reference implementations for AI‑native products and agentic services, • Introduce AI cost monitoring, observability and model‑usage controls, • Work closely with engineering, architecture, security and governance teams, • Coach engineering teams and establish long‑term internal AI capability You will ideally have experience within a frontier AI company, AI‑native technology business or specialist AI consultancy, alongside: • Proven experience building and operating agentic systems in production, • Strong LLM / GenAI engineering expertise, • Hands‑on knowledge of AI security, evaluation and guardrails, • Experience deploying AI within complex enterprise environments, • Strong software engineering and architecture fundamentals, • Excellent stakeholder management and technical coaching skills This is an opportunity to join a major global organisation at a significant point in its AI journey, helping shape the engineering standards and operating model behind a new generation of in‑house agentic AI products #J-18808-Ljbffr

Senior Consultant (Operational Intelligence) Consultancy.uk – Enfuse Group, London Postgraduate degree Join to apply for this role that focuses on managing end‑to‑end delivery of process excellence and AI/automation solutions. You will connect process insight with technology execution, ensuring that improvement opportunities are turned into working, AI‑enabled outcomes. • Manage end‑to‑end process excellence and/or AI/automation programs: discovery, design, build, deployment, and adoption., • Apply process intelligence and process excellence methods to identify execution gaps, frame opportunities, and design future‑state processes., • Run client workshops and assessments, linking automation, AI, and process improvement to measurable KPIs and business value., • Act as engagement lead in client projects: accountable for delivery quality, timelines, and value realisation., • Ensure change management and adoption, embedding governance, training, and ways of working., • Support pre‑sales and bids through solution blueprints, demo builds, PoVs, ROI models, and executive pitches., • Shape and evolve consulting offerings — packaging accelerators, use case libraries, and intelligent operating model frameworks., • Help clients navigate vendor/tooling options (Celonis, UiPath, Power Platform, n8n, CoPilot, Appian, SAP Signavio)., • Use process mining, task mining, and diagnostics to uncover hidden value and redesign processes., • Build business cases for transformation by quantifying benefits (efficiency, cost, compliance, customer experience)., • Embed continuous improvement practices to ensure automations and AI solutions deliver lasting value., • Combine Lean Six Sigma, process optimisation, and automation to create holistic operating model improvements., • Champion AI and process excellence adoption inside Enfuse: help consultants embed process intelligence, copilots, and automation tools in daily work., • Build and maintain internal IP: delivery playbooks, accelerators, reusable components, and Enfuse Knowledge Graph contributions., • Share lessons from client projects to strengthen our AI‑first consultancy model., • Lead agile delivery squads of consultants, engineers, and client teams., • Coach junior consultants in delivery best practices and stakeholder engagement., • Foster a culture of human + AI teaming, showing how to combine process excellence with intelligent automation., • 3+ years in transformation delivery, with hands‑on exposure to process excellence, automation, or AI initiatives., • Track record of end‑to‑end program management (discovery → design → build → deployment → adoption)., • Strong grounding in process excellence., • Familiarity with platforms such as Celonis, UiPath, MS Power Platform, Appian, SAP Signavio, n8n, CoPilot Studio., • Strong facilitation and storytelling skills — from process workshops to boardroom pitches., • Sector experience in Travel & Transport, Retail & Hospitality, Public Sector, or Higher Education., • Knowledge of Finance, Supply Chain, or Customer Operations transformations., • Understanding of agentic AI orchestration frameworks (multi‑agent workflows, copilots)., • Background in governance, change management, or adoption frameworks., • 1st Stage – Get to Know You: Behaviours and Attitudes Competency Interview (1 hour), • 2nd Stage – Case Study Exercise Interview (90 minutes), • 3rd Stage – Cultural Fit Interview (1 hour) Full onboarding, senior leadership engagement, capability ownership, and ongoing development with a focus on sector leadership. • Deliver end‑to‑end process excellence and AI/automation programs — not just advise., • Shape how process intelligence and automation combine to deliver sustainable client outcomes., • Help Enfuse become an AI‑first consultancy by embedding process and AI tools across our teams., • Work at the frontier of process mining, automation, and AI‑enabled transformation, with opportunities to grow IP, build accelerators, and own client outcomes. Financial Perks: Competitive salary and pension, company performance bonus, and travel allowance. Health & Wellbeing: Private medical healthcare, £40 monthly wellness allowance, gym membership discounts, and eye test vouchers. Time Off: 25 days holiday (plus public holidays), option to buy 5 extra days, 1 company day off, and 1 volunteering day off. Career Growth: In‑house training, monthly 1:1 career path meetings, and support for professional certifications. Recognition & Support: Employee assistance program, birthday gift, and themed care packages. Social & Sustainability: Regular team meet‑ups, social events, and sustainable company swag. >We have created a working environment where everyone can flourish! Diversity, Equity, and Inclusion is something we take very seriously at Enfuse, not just because we advise our clients on it, but because we genuinely believe in its benefits for society, people, and our company. Countless studies have told us that diverse teams perform better but for us, the most important thing is that diverse teams create a happy workplace. We are an equal opportunity employer and truly embrace diversity in all its forms. We are committed to creating an inclusive environment for all of our people to flourish in by allowing our people to be their authentic selves at work. Mid‑Senior level Full‑time Consulting, Information Technology, and Sales Business Consulting and Services Firm: Enfuse Group Location: London Education: Postgraduate degree Apply #J-18808-Ljbffr

We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer‑centric service design, and agile engineering practices to accelerate innovation in a tech‑driven world. • Join our Digital & Data team working alongside product, design and a wide range of other experts and cross‑disciplinary teams to bring ideas to life through innovative software solutions., • Grow a flexible and unique career within a trust‑based, inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn’t align with what you want to do., • Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week., • Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same, • Join other experts within our supportive and collaborative tech community through knowledge‑sharing and peer‑level support, coaching and mentoring, • Deepen your expertise through our culture of learning and growth – you’ll have budget to take courses (technical and non‑technical training), plus gain certifications Role Overview We are looking for an AI Security Consultant to help organisations secure the next generation of technology environments, including AI‑enabled applications, LLM integrations and agentic systems. This is a cyber security consulting role with an AI focus. You will advise clients on core cyber security risks across cloud, identity, applications, data, operations and governance, while also helping them understand and manage the new risks introduced by AI systems that can reason, retrieve data, call tools and take action. You will work with clients to assess AI security risks, threat model agentic workflows, design practical controls, and identify where AI can safely improve cyber security operations. This may include supporting secure AI adoption, reviewing LLM‑based applications, advising on SOC automation, developing AI security guardrails, and helping organisations use AI to enhance detection, response, reporting and risk management. The right candidate will combine strong cyber security fundamentals with curiosity and practical knowledge of AI security. You should be able to explain complex risks clearly, work with both technical and senior stakeholders, and provide advice that is proportionate, actionable and aligned to business outcomes. Key Responsibilities Cyber Security Consulting • Conduct cyber security assessments across technology estates, cloud environments, applications, networks, identity platforms and operational processes., • Review security architectures and provide pragmatic recommendations aligned to business risk., • Support the design and implementation of security controls across areas such as access management, data protection, logging and monitoring, vulnerability management, incident response and third‑party risk., • Help clients interpret security requirements, assess control maturity and develop actionable improvement roadmaps., • Translate technical findings into clear, business‑relevant advice for senior stakeholders. AI and Agentic System Security • Assess the security risks associated with AI‑enabled applications, LLM integrations, AI agents, autonomous workflows and model‑connected business processes., • Review AI system designs for risks such as prompt injection, excessive agency, data leakage, insecure tool use, unsafe output handling, model supply chain exposure and weak human oversight., • Support threat modelling for agentic systems, including how agents access tools, call APIs, retrieve data, make decisions and trigger actions., • Advise on secure patterns for AI application development, including permission boundaries, identity controls, sandboxing, auditability, input/output validation and human‑in‑the‑loop controls., • Help clients establish governance and assurance processes for AI systems across the lifecycle, from experimentation through to production deployment. AI-Enabled Security Operations • Identify opportunities to use AI safely to improve cyber security operations, such as alert triage, threat intelligence enrichment, incident summarisation, detection engineering, reporting, vulnerability prioritisation and control testing., • Support the evaluation and adoption of AI‑enabled security tools, ensuring appropriate security, privacy, governance and operational safeguards are in place., • Help security teams design workflows where AI augments analysts without introducing unacceptable risk, over‑reliance or loss of accountability., • Develop practical playbooks, guardrails and operating models for the responsible use of AI within SOC, GRC, vulnerability management and incident response functions., • Work with clients to measure the effectiveness, limitations and risks of AI‑assisted security processes. Essential requirements Even if you don’t meet every requirement below, feel free to still apply as we are often hiring for similar roles which your background might be better suited to. • Strong background in cyber security consulting, security architecture, risk management or security operations., • Good understanding of common security domains, including identity and access management, cloud security, application security, data protection, vulnerability management, incident response and security monitoring., • Ability to assess technical environments and produce clear, prioritised recommendations., • Experience engaging with both technical teams and senior business stakeholders., • Understanding of AI, generative AI or LLM‑enabled systems, including how AI applications interact with data, prompts, APIs, tools and users., • Awareness of emerging AI security risks such as prompt injection, sensitive information disclosure, excessive agency, insecure output handling, model/data poisoning, vector or embedding weaknesses and AI supply chain risk., • Ability to perform threat modelling for complex systems, including AI‑assisted or agentic workflows., • Strong written and verbal communication skills, with the ability to explain emerging technical risks in simple, practical terms., • Experience with AI governance, responsible AI, model risk management or AI assurance., • Familiarity with frameworks and guidance such as NIST AI RMF, OWASP Top 10 for LLM Applications, OWASP Agentic AI guidance, MITRE ATLAS, ISO 27001, NIST CSF, CIS Controls or cloud security frameworks., • Experience with SOC operations, SIEM/SOAR platforms, detection engineering, threat intelligence or incident response., • Knowledge of AI‑enabled development platforms, agent frameworks, retrieval‑augmented generation, model APIs, vector databases or automation/orchestration tools., • Experience designing guardrails for autonomous systems, including least privilege, approval workflows, action limits, logging, monitoring and rollback mechanisms., • Relevant certifications such as CISSP, CISM, CCSP, GIAC, ISO 27001 Lead Implementer/Auditor, cloud security certifications or AI/security‑focused training. Please be aware that some of our UK roles at PA Consulting require a UK security clearance. All PA people are required to undergo background checks and to achieve the Baseline Personnel Security Standard however, some UK roles also require higher levels of National Security Vetting, where applicants must have at least 5 years of continuous residency in the UK. We therefore ask that you only apply if you meet the residency requirements (i.e. you are a British citizen or have been resident in the UK for the past 5 years), as this is the prerequisite for a security clearance. If you're unsure about your eligibility, we encourage you to review the UK Government’s guidance on security vetting before applying. Please note that the interview stages may be subject to change based on the specific requirements of the role. • Quick call with one of our Tech Recruiters – to discuss your application, the role and PA, • Round 1: Either a competency or technical interview (60 mins), • Round 2: Either a competency or technical interview, whichever you didn’t do at first round (60 mins), • Final round: Meeting with a PA leader - a mini case study and discussion around your client‑centricity (60 mins) Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples’ working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world’s most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. We are dedicated to supporting the physical, emotional, social and financial well‑being of our people. Check out some of our extensive benefits: • Health and lifestyle perks accompanying private healthcare for you and your family, • 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days, • Generous company pension scheme, • Opportunity to get involved with community and charity‑based initiatives, • Annual performance‑based bonus, • PA share ownership, • Tax‑efficient benefits (cycle to work, give as you earn) We’re committed to advancing equality.We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief, veteran status, any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on [emailprotected] #J-18808-Ljbffr

Meta Security is looking for a threat intelligence investigator with extensive experience in investigating cyber threats with an intelligence-driven approach. You will be proactively responding to a broad set of security threats, as well as tracking actor groups with an interest or capability to target Meta and its employees. You will also be identifying the gaps in current detections and preventions by long-term intelligence tracking and research, and working with cross-functional stakeholders to improve Meta's security posture. • Track threat clusters posing threats to Meta's infrastructure and employees, and identify, develop and implement countermeasures on our corporate network, • Investigate, mitigate, and forecast emerging technical trends and communicate effectively with actionable suggestions to different types of audiences, • Work closely with incident responders to provide useful and timely intelligence to enrich ongoing investigations, • Improve the tooling of threat cluster tracking and intelligence data integration to existing systems, • Engage constructively in cross-functional projects to improve the security posture of Meta's infrastructure, such as red team operations, surface detection coverage expansion and vulnerability management discussions, • 3+ years threat intelligence experience, • Bachelor's degree in Computer Science, Information Security, or relevant field (or equivalent experience), • Familiarity with campaign tracking techniques and ability to convert the tracking results to long term countermeasures, • Familiarity with threat modeling framework, such as Diamond Model and/or MITRE ATT&CK framework, • Experience intelligence-driven hunting to spot suspicious activities in the network and identify potential risks, • Proven track record of managing and executing on short term and long term projects, • Ability to work with a team spanning multiple locations/time zones, • Ability to prioritize and execute tasks with minimal direction or oversight, • Ability to think critically and qualify assessments with solid communications skills, • Coding or scripting experience in one or more scripting languages such as Python or PHP, • Familiarity with malware analysis or network traffic analysis, • Experience authoring production code for threat intelligence tooling, • Experience conducting large scale data analysis, • Experience in one or more query languages such as SQL, • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies, • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements), • Experience working across the broader security community, • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews), • Production of file-based or network-based rules and signatures for detection and tracking of complex threats, such as YARA or Snort, • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements), • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews), • Experience closely collaborating with incident responders on incident investigations, • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies, • Familiarity with nation-state, sophisticated criminal, or supply chain threats Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. #J-18808-Ljbffr

Position: Forward Deployed Engineer Location: London or Amsterdam, 3 days a week in office The Role: We're looking for a technically sharp, product-minded engineer to help push the frontier of AI across Just Eat Takeaway. You'll work with some of our most ambitious internal teams and technology partners - helping them get the most out of advanced AI, and turning those learnings into durable improvements across our organisation. This is a builder role. You'll dig into complex workflows, identify the gaps that matter, and translate them into concrete technical insights that shape how we build. If you're as comfortable debugging a live workflow as you are designing an evaluation framework or presenting findings to a non-technical audience, you'll fit right in. Key Responsibilities: • Work directly with internal teams and strategic partners to understand critical workflows, uncover failure modes, and identify the highest-impact opportunities for AI improvement., • Prototype and iterate on prompts, agents, and workflow designs to understand system behaviour and unlock real value - not just theoretical improvements., • Synthesise findings for our Product Engineering and Platform teams, turning real usage patterns into clear, reproducible evaluations, benchmarks, and technical artefacts that improve product and platform quality., • Build repeatable tools, patterns, and evaluation approaches that raise the quality bar across multiple use cases - not just one-off fixes., • Operate with strong judgment in ambiguous environments, balancing immediate technical problem-solving with longer-term systemic improvement., • Build relationships across our engineering and product communities, serving as a trusted technical partner to individuals and teams alike. These are some of the key components to the position: You'll thrive here if you have strong software engineering and AI fundamentals - whether that's from experience in a startup, or a product focused role in a larger org. Software engineer, ML engineer, data scientist, or equivalent. Product Managers, BAs or Technical Programme Managers keen to return to a builder role. A track record of shipping production systems end-to-end is a strong plus. What will you bring to the team? • Experience building AI applications, agents, or evaluation systems, with the ability to reason clearly about model behaviour in complex workflows., • Comfort working directly with highly experienced functional SMEs and translating their challenges into concrete technical signals., • Production experience with AWS at scale, using services like ECS, Lambda, DynamoDB, SQS, • Fluency moving between prototyping, debugging, evaluation design, and cross-functional collaboration - sometimes all in the same day., • Working across every layer of the stack - Able to switch between configuring a connector in an admin panel to prompting an agent to contribute code back to our underlying platform., • Clear communication across technical and non-technical audiences - you can explain what you found and why it matters., • High agency and a strong product sense, with a bias toward building things that last rather than one-off fixes., • AI First problem solving, deeply experienced with AI tools to drive fast solution creation, able to balance model usage to maximise ROI, everything from coding to design and more., • Bonus: Familiarity with complex market place businesses. Experience as an early-stage startup engineer or in a previous FDE style role. None of these is a dealbreaker - we're more interested in how you think than what you've already shipped., • AWS Solutions Architect - Associate (Nice to have) At JET, this is how we play Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. Being the best at what we do isn’t just about delivering on our strategy. It's a competition for something incredibly valuable – our customers' choice. Every time a customer decides where to order, they're picking a side. At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation. These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers’ loyalty, again and again. Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we’re building a customer-first culture which enables us to stay one step ahead of the competition. Inclusion, Diversity & Belonging No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We’re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels. #LI-CA1 #J-18808-Ljbffr

We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer-centric service design, and agile engineering practices to accelerate innovation in a tech-driven world. • Join our Digital & Data team working alongside product, design and a wide range of other experts and cross-disciplinary teams to bring ideas to life through innovative software solutions., • Grow a flexible and unique career within a trust-based, inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn’t align with what you want to do., • Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week., • Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same, • Join other experts within our supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring, • Deepen your expertise through our culture of learning and growth – you’ll have budget to take courses (technical and non-technical training), plus gain certifications Role Overview We are looking for an AI Security Consultant to help organisations secure the next generation of technology environments, including AI-enabled applications, LLM integrations and agentic systems. This is a cyber security consulting role with an AI focus. You will advise clients on core cyber security risks across cloud, identity, applications, data, operations and governance, while also helping them understand and manage the new risks introduced by AI systems that can reason, retrieve data, call tools and take action. You will work with clients to assess AI security risks, threat model agentic workflows, design practical controls, and identify where AI can safely improve cyber security operations. This may include supporting secure AI adoption, reviewing LLM-based applications, advising on SOC automation, developing AI security guardrails, and helping organisations use AI to enhance detection, response, reporting and risk management. The right candidate will combine strong cyber security fundamentals with curiosity and practical knowledge of AI security. You should be able to explain complex risks clearly, work with both technical and senior stakeholders, and provide advice that is proportionate, actionable and aligned to business outcomes. Key Responsibilities Cyber Security Consulting • Conduct cyber security assessments across technology estates, cloud environments, applications, networks, identity platforms and operational processes., • Review security architectures and provide pragmatic recommendations aligned to business risk., • Support the design and implementation of security controls across areas such as access management, data protection, logging and monitoring, vulnerability management, incident response and third-party risk., • Help clients interpret security requirements, assess control maturity and develop actionable improvement roadmaps., • Translate technical findings into clear, business-relevant advice for senior stakeholders. AI and Agentic System Security • Assess the security risks associated with AI-enabled applications, LLM integrations, AI agents, autonomous workflows and model-connected business processes., • Review AI system designs for risks such as prompt injection, excessive agency, data leakage, insecure tool use, unsafe output handling, model supply chain exposure and weak human oversight., • Support threat modelling for agentic systems, including how agents access tools, call APIs, retrieve data, make decisions and trigger actions., • Advise on secure patterns for AI application development, including permission boundaries, identity controls, sandboxing, auditability, input/output validation and human-in-the-loop controls., • Help clients establish governance and assurance processes for AI systems across the lifecycle, from experimentation through to production deployment. AI-Enabled Security Operations • Identify opportunities to use AI safely to improve cyber security operations, such as alert triage, threat intelligence enrichment, incident summarisation, detection engineering, reporting, vulnerability prioritisation and control testing., • Support the evaluation and adoption of AI-enabled security tools, ensuring appropriate security, privacy, governance and operational safeguards are in place., • Help security teams design workflows where AI augments analysts without introducing unacceptable risk, over-reliance or loss of accountability., • Develop practical playbooks, guardrails and operating models for the responsible use of AI within SOC, GRC, vulnerability management and incident response functions., • Work with clients to measure the effectiveness, limitations and risks of AI-assisted security processes. Essential requirements Even if you don’t meet every requirement below, feel free to still apply as we are often hiring for similar roles which your background might be better suited to. • Strong background in cyber security consulting, security architecture, risk management or security operations., • Good understanding of common security domains, including identity and access management, cloud security, application security, data protection, vulnerability management, incident response and security monitoring., • Ability to assess technical environments and produce clear, prioritised recommendations., • Experience engaging with both technical teams and senior business stakeholders., • Understanding of AI, generative AI or LLM-enabled systems, including how AI applications interact with data, prompts, APIs, tools and users., • Awareness of emerging AI security risks such as prompt injection, sensitive information disclosure, excessive agency, insecure output handling, model/data poisoning, vector or embedding weaknesses and AI supply chain risk., • Ability to perform threat modelling for complex systems, including AI-assisted or agentic workflows., • Strong written and verbal communication skills, with the ability to explain emerging technical risks in simple, practical terms., • Experience with AI governance, responsible AI, model risk management or AI assurance., • Familiarity with frameworks and guidance such as NIST AI RMF, OWASP Top 10 for LLM Applications, OWASP Agentic AI guidance, MITRE ATLAS, ISO 27001, NIST CSF, CIS Controls or cloud security frameworks., • Experience with SOC operations, SIEM/SOAR platforms, detection engineering, threat intelligence or incident response., • Knowledge of AI-enabled development platforms, agent frameworks, retrieval-augmented generation, model APIs, vector databases or automation/orchestration tools., • Experience designing guardrails for autonomous systems, including least privilege, approval workflows, action limits, logging, monitoring and rollback mechanisms., • Relevant certifications such as CISSP, CISM, CCSP, GIAC, ISO 27001 Lead Implementer/Auditor, cloud security certifications or AI/security-focused training. Please be aware that some of our UK roles at PA Consulting require a UK security clearance. All PA people are required to undergo background checks and to achieve the Baseline Personnel Security Standard however, some UK roles also require higher levels of National Security Vetting, where applicants must have at least 5 years of continuous residency in the UK. We therefore ask that you only apply if you meet the residency requirements (i.e. you are a British citizen or have been resident in the UK for the past 5 years), as this is the prerequisite for a security clearance. If you're unsure about your eligibility, we encourage you to review the UK Government’s guidance on security vetting before applying. Please note that the interview stages may be subject to change based on the specific requirements of the role. • Quick call with one of our Tech Recruiters – to discuss your application, the role and PA, • Round 1: Either a competency or technical interview (60 mins), • Round 2: Either a competency or technical interview, whichever you didn’t do at first round (60 mins), • Final round: Meeting with a PA leader - a mini case study and discussion around your client-centricity (60 mins) Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples’ working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world’s most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. We are dedicated to supporting the physical, emotional, social and financial well-being of our people. Check out some of our extensive benefits: • Health and lifestyle perks accompanying private healthcare for you and your family, • 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days, • Generous company pension scheme, • Opportunity to get involved with community and charity-based initiatives, • Annual performance-based bonus, • PA share ownership, • Tax efficient benefits (cycle to work, give as you earn) We’re committed to advancing equality.We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief, veteran status, any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on recruitmentenquiries@paconsulting.com #LI-SG1 #J-18808-Ljbffr

Blackstone is the world’s largest alternative asset manager. Blackstone seeks to deliver compelling returns for institutional and individual investors by strengthening the companies in which the firm invests. Blackstone’s over $1.3 trillion in assets under management include global investment strategies focused on real estate, private equity, credit, infrastructure, life sciences, growth equity, secondaries and hedge funds. Further information is available at www.blackstone.com. Follow @blackstone on LinkedIn, X (Twitter), and Instagram. About the Role As a Product Manager (AVP) on the AI Platform team, you will own core enterprise AI platform capabilities that make the platform secure, scalable, and extensible. You'll focus on the governance, administration, security, and enablement features that internal teams require to build and run AI agents and workloads at scale — spanning our LLM Gateway, MCP Gateway, agent runtime, and model governance controls. This role requires strong technical judgment, a deep understanding of enterprise deployment patterns, and the ability to translate complex platform requirements into elegant, self-service product experiences for builders across the firm. • Own the roadmap for core platform capabilities including the LLM and tool (MCP) gateways, web search access, audit logging, access controls, and integration of approved AWS and Azure AI services., • Develop and maintain the builder experience end to end — onboarding new agent and workload builders, managing existing workloads, and enforcing platform policies., • Build features that give leadership and security teams visibility into and control over AI platform usage, including cost attribution, chargeback, and usage governance., • Partner with engineering to deliver scalable, secure architecture that meets Blackstone's enterprise and regulatory requirements., • Define APIs and integration points that enable agent workflows, tool access, and system connectivity across Copilot, AWS Bedrock, and embedded applications., • Work closely with Platform Engineering, SRE, Security, and Data teams to understand cross-platform pain points and translate them into prioritized product requirements., • Build relationships with product managers across business-unit-facing technology teams to understand their needs and validate solutions., • Stay current on the competitive landscape and enterprise AI market trends, and bring an informed point of view on build-versus-buy decisions., • 4+ years of product management experience, with at least 2 years focused on enterprise or platform software., • Track record of shipping enterprise platform features that drive adoption in security-conscious, regulated organizations., • Strong understanding of enterprise platform concepts such as authentication/authorization, access controls, auditability, and multi-tenant governance., • Experience taking a product from 0 to 1, from problem definition through launch and iteration., • Excellent communication skills, with the ability to work across technical and business stakeholders and influence without authority., • Experience with cloud computing, infrastructure, and AI/ML products or platforms (e.g., AWS, Azure, model gateways, agent frameworks)., • Technical background or a history of working closely with platform and infrastructure engineering teams., • Structured thinking and the ability to break down complex technical requirements into shippable, well-scoped platform features. The duties and responsibilities described here are not exhaustive and additional assignments, duties, or responsibilities may be required of this position. Assignments, duties, and responsibilities may be changed at any time, with or without notice, by Blackstone in its sole discretion. Blackstone is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, status as a victim of domestic violence, a sex offense or stalking, or any other class or status in accordance with applicable federal, state and local laws. This policy applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, transfer, leave of absence, compensation, and training. All Blackstone employees, including but not limited to recruiting personnel and hiring managers, are required to abide by this policy. If you need a reasonable accommodation to complete your application, please contact Human Resources at 212-583-5000 (US), +44 (0)20 7451 4000 (EMEA) or +852 3656 8600 (APAC). Depending on the position, you may be required to obtain certain securities licenses if you are in a client facing role and/or if you are engaged in the following: Attending client meetings where you are discussing Blackstone products and/or and client questions; Marketing Blackstone funds to new or existing clients; Supervising or training securities licensed employees; Structuring or creating Blackstone funds/products; and Advising on marketing plans prepared by a sales team or developing and/or contributing information for marketing materials. Note: The above list is not the exhaustive list of activities requiring securities licenses and there may be roles that require review on a case-by-case basis. Please speak with your Blackstone Recruiting contact with any questions. At Blackstone, we look to attract and retain the brightest minds in the business, hiring professionals across a wide range of disciplines. Our employees are integral to the firm’s identity, contributing to a culture of integrity, professionalism and excellence. It is their dedication and passion for their work that has helped Blackstone become a trusted partner for some of the largest institutional investors in the world. We encourage independent thinking and reward initiative, while providing services to help employees grow professionally. Our global business platform and brand reputation provide an unparalleled launch pad for growing your career. #J-18808-Ljbffr

Department: Data & AI Employment Type: Permanent - Full Time Location: UK - London Insurance isn't the first industry most engineers think of when they imagine cutting-edge AI work. That's exactly why this role is interesting. CFC's Data & AI unit is building production agentic systems that automate complex underwriting decisions - not chatbots, not copilots bolted onto legacy workflows, but autonomous multi-step AI agents that reason over unstructured data, assess risk, and drive real business outcomes. We're using frameworks like LangChain to orchestrate LLM-driven services that sit at the heart of how the business operates. The problems are genuinely hard: ambiguous inputs, high-stakes decisions, and the kind of domain complexity that makes for satisfying engineering. We're also fundamentally rethinking how we deliver software. We're moving toward an agentic-first development model - using AI agents not just in what we build for the business, but in how we build it. The goal is to multiply engineering delivery by an order of magnitude: not by cutting corners or generating throwaway code, but by designing robust systems and processes that let agents handle well-defined work while engineers focus on architecture, design, and the problems that actually require human judgment. This is a deliberate, engineering-led approach. We care about code quality, testability, and maintainability - the agent-generated code meets the same standards as everything else. We expect that a successful candidate will be able to bring their expertise to help guide and refine our agentic development process as it matures - a meaningful opportunity to influence how we work as well as what we ship. • Design, develop, and maintain business-critical AI agent services., • Build tailored agent workflows and services from business requirements, using LangChain and related frameworks with reliable patterns for LLM-driven decision-making in production., • Integrate tests and validation to improve AI agents through evals and monitoring., • Work with software engineers and architects to lead system design and architectural decisions., • Translate technical specifications into clean, testable, and scalable production code., • Work closely with cross-functional teams - engineers, data scientists, product managers - to deliver features on time and to a high standard., • Write unit and integration tests to maintain reliability and service correctness., • Monitor, troubleshoot, and continuously improve production services., • Produce clear, structured documentation for systems, architecture, and processes., • Mentor junior engineers through code reviews, best-practice guidance, and knowledge sharing. We're looking for an experienced AI or Machine Learning Engineer with strong software engineering fundamentals and a passion for building robust, production-ready AI systems. You'll be someone who enjoys solving complex technical problems, making thoughtful architectural decisions and working on systems where quality, reliability and maintainability really matter. You'll have: • Significant experience building production-grade AI agents or LLM-powered services., • Strong Python development experience, ideally with 6+ years of professional software engineering experience., • A track record of writing clean, maintainable and high-quality production code., • Experience supporting business-critical systems in live production environments., • Strong understanding of asynchronous programming, Docker, containerised deployments and modern service architectures., • Experience designing distributed systems, asynchronous microservices and event-driven architectures., • Confidence leading system design discussions and making pragmatic architectural trade-offs., • Strong cloud experience, ideally within Azure., • Experience deploying, monitoring and maintaining ML or LLM models in production., • Familiarity with MLOps, LLMOps, evals, monitoring and lifecycle management., • Hands-on experience orchestrating LLM workflows using frameworks such as LangChain., • An interest in how agentic software development can improve engineering delivery without compromising code quality., • Strong communication skills and the ability to collaborate effectively in remote or asynchronous environments., • An ownership mindset, with the ability to work independently and contribute effectively to shared codebases. Love what you do: We show up each day ready to take on the world. Our passion and intensity set us apart and makes the difference to our colleagues, customers, brokers and carriers. Challenge everything: We're never afraid to question the way that things are done and we constantly challenge ourselves and others to makes things better. Have fun, be good: Insurance is a serious business, but we don't take ourselves too seriously. We make it fun to work at CFC, we welcome all viewpoints, and we treat everyone how we would expect to be treated. #J-18808-Ljbffr

The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We're in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally. We're here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action. The deadline for applying to this role is 11th October 2026, end of day, anywhere on Earth. AI capabilities in cybersecurity and autonomy are advancing faster than at any point in history. Frontier models can now work through multi-step network intrusions, discover and exploit software vulnerabilities, and carry out long-horizon technical tasks with increasing independence. These are extraordinary tools for scientific and economic progress, but also have the potential for serious harm if misused or deployed without adequate oversight, as seen in the recent cybersecurity incidents. The team evaluates the capability of both frontier and open-weight AI models in cybersecurity, autonomy and AI R&D, ensuring the UK government and its partners have an accurate view of risks and capabilities. We use realistic cyber ranges and a large CTF suite for our evaluations, run pre-deployment testing of frontier models, and collaborate with our partners across UK government, frontier labs, and NCSC. We are looking for exceptional cybersecurity experts at all experience levels, from junior through to senior or staff, who want to work at the forefront of frontier AI security. In this role, you'll work with cutting-edge technologies on research problems with real-world impact, and receive mentorship and coaching from your manager and the technical leads on your team. Your day-to-day work might include building state-of-the-art evaluations (e.g., cyber ranges), running pre-deployment testing exercises (e.g., Claude Mythos Preview), validating novel model behaviours (e.g., models cheating in evaluations), and answering timely research questions (e.g., the capabilities of open-weight models). You would be working alongside engineers and researchers who care deeply about the impact of their work, take pride in their craft, and have a high level of autonomy. • Evaluation Design & Development (60%), • Design cyber ranges and CTF-style challenges for automatically grading AI system performance on cybersecurity tasks, • Build agentic scaffolding to evaluate frontier models, equipping them with tools such as network packet capture utilities, penetration testing frameworks, and reverse engineering/disassembly tools, • Design metrics and interpret results of cyber capability evaluations, • Infrastructure engineering (30%), • Work alongside other engineers to ensure evaluation environments are robust and scalable, • Research & Communication (10%), • Write reports, research papers and blog posts to share findings with stakeholders, • Keep up-to-date with related research taking place in other organisations, • Contribute to AISI's broader understanding of AI cyber risks, • Onboard and integrate new cyber ranges into our evaluation pipeline, • Conduct agent research to improve the cyber capabilities of our agents, • Improve grading and scoring methodologies for automated evaluation tasks, • Integrate defensive telemetry and #J-18808-Ljbffr

At Open, we exist because we believe that insurance does not have to be seen as complicated or costly. We're an AI-powered platform transforming insurance globally - making it more transparent, cost-effective, and customer friendly. Since launching in 2016, we've grown into a certified B Corporation, operating across ANZ and the UK, and building modern infrastructure that brings wonder into insurance. Engineering is how we earn the trust of our partners and customers, and where we turn Open's strategy into shipped product. The UK is where our next chapter happens, and this role is one of the first engineering hires into it: you'll be building the integrations our UK partners run on, and helping keep them live. You’ll work on Open Embedded, our flagship product. It lets brands offer car, home, travel, landlord and purchase-protection insurance inside their own customer journeys, so their customers can buy cover in the same place they buy the core product — configured no-code by our partners, and run end to end by us from quote through to claim. Core feature development and major platform uplifts are owned by our engineering team in Australia. The UK team's remit is the UK end: working with partners on their requirements and integrations, configuring and extending the platform to meet them, and keeping it running in the region. You’ll be hands-on in the same codebase, shipping changes yourself. Reporting to the Senior Full-Stack Engineer, you’ll work alongside our partner-facing colleagues, Product, TechOps and Solution Architecture, and day to day with the engineering team in Australia. You’re joining a small UK team early, which means more scope than a role like this usually carries — and more support to grow into it. This is a hands-on role, and the majority of your week is building and debugging: writing production code across the stack, working through integration problems, and helping keep what runs in the UK healthy. You’ll take work from ambiguous to shipped with a senior engineer close by, and we’ll expect that distance to grow shorter over time. You’ll be measured on driving up three things: • Build and ship UK partner integrations — taking pieces of a partner journey from requirement to live, with support on the shape of the whole., • Get close to what a partner actually needs: what our platform already does, what can be configured, and what genuinely needs building., • Turn that into working software — configuration and extension where our platform allows it, and a clear write-up of the gap where it doesn’t., • Join the technical conversations with a partner’s engineers, and own the follow-ups that come out of them., • Give your team an early, honest read on how your work is tracking — no surprise slips., • Keep cutting the time from partner signature to live journey, using the best of modern software delivery and agentic development., • Work paired with agents across your own workflow — design, code, review, test, ops and integration debugging — and keep raising your own bar for how fast you can ship well., • Use agents to take the repetitive weight out of partner support: triage, log analysis, first-line diagnosis and the reporting that goes with it., • Build with the evaluations, guardrails and human-in-the-loop patterns that let us deploy GenAI safely in a regulated industry — anywhere a decision affects someone’s cover or their claim., • Form your own view on which problems an agent should own end to end versus assist on, and back it with evidence from your own work., • Bring what you find back to the team. In a small group, one person’s better workflow becomes everyone’s within a week., • Help keep the platform healthy in region: availability, incident response and engineering health, alongside the Senior Full-Stack Engineer., • Join the on-call rotation once you’re up to speed. Debug production across a partner boundary you don't control, then write the honest post-incident note., • Write code others can change without fear: tested where it counts, observable in production, and documented where the reasoning isn’t obvious., • Make sound design calls within your remit, and know which ones to bring to your Senior Full-Stack Engineer, the AU team or our solution architects rather than make alone., • Work with TechOps, Solution Architecture and InfoSec on reliability, security and governance — including the UK and EU data-residency considerations that shape what we build and where it runs., • Feed what you learn from partners and incidents back to the team, so the platform gets better rather than just patched around. This is a broad, hands-on engineering role in a lean, high-trust environment. It rewards people who are energised by ownership, breadth and agentic leverage, not those looking for a defined lane or a large organisation to sit inside. Specifically, it’s probably not the right fit if: • You want a fully specified ticket queue. Partner requirements arrive ambiguous and commercially loaded. You’ll have help turning them into something buildable — but you’ll be part of doing it, not handed the result., • You need greenfield to do your best work. Most of what you build extends a substantial existing platform. The craft here is in reading it well and changing it safely., • You want to stay in one layer of the stack. In a lean team you’ll be in the partner-facing journey, the services behind it, the data that proves it works, and occasionally the infrastructure it runs on., • You see AI as autocomplete. This role is for someone already restructuring how they work around agents, not someone who plans to "start exploring" GenAI., • You want to be shielded from partners. You won’t own the commercial relationship, but you will be in technical conversations with external engineers, and expected to hold your own., • You want a large team to sit inside. For a while, UK engineering is a handful of people. What you don’t do doesn’t get done by someone else., • 3+ years building and operating production software — shipped, maintained and run by real users, not just delivered., • Full-stack range — strong on one side and genuinely competent on the other. You can build the customer journey and the service behind it., • Comfortable in someone else’s codebase — you can read a large existing system, find the right seam, and extend it safely., • Integration experience — you’ve worked against an API you don’t control and debugged what happens when it misbehaves. You think about contracts, retries and idempotency., • Solid in Python and working knowledge of modern AWS — you’ve had services of your own in production and understand what it takes to keep them up., • Modern frontend — TypeScript and a component framework, with real care for what the customer at the other end actually experiences., • Genuinely AI-native — you use AI agents in your own work every day, and you can say specifically what changed as a result., • Ownership of what you ship — something you built, released and then supported. You can talk credibly about all three parts., • Modern delivery practices — you’ve worked with strong CI/CD and understand why small, frequent, reversible changes win., • Clear communicator — the pull request description, the design note and the incident write-up get written without being chased, and non-technical colleagues come away knowing what to do., • Judgment about scope — you ship the small useful thing now and flag the bigger problem rather than quietly starting it., • Bias for action — you spot issues early, fix root causes and keep pushing for simpler, faster, safer ways of working., • Exposure to the insurance, fintech, or regulated financial services sector., • Experience in a partner-facing, solutions or integration engineering role sitting alongside a core product team., • Experience building or consuming configurable or no-code product platforms (embedded insurance, white-label sales flows, partner-driven experiences)., • Having shipped something agentic to production, or worked alongside engineers building AI or ML systems., • Comfort with cloud-native data warehousing (Snowflake or comparable) and the analytics or AI data layer., • Experience working in a distributed team across distant time zones, where the core engineering team is in another region., • Familiarity with AI safety practices — evaluations, red-teaming, guardrails, human-in-the-loop., • Degree in Computer Science, Software Engineering or a related field — or equivalent practical experience. This role is based in London, United Kingdom. We work in a hybrid model, with three days a week in the office. We’ve found this rhythm genuinely supports collaboration and the kind of fast, high-trust culture we’ve built. You’ll have flexibility on the other two days to work in a way that suits you. You’ll work closely with colleagues in Sydney, including the engineering team that owns the core platform. In practice that means writing decisions down properly and an early call once or twice a week — not a permanently shifted working day. You’ll need the right to work in the United Kingdom. Open is on a mission to make it easy for everyone to get the most from their insurance. Insurance is one of the world’s least digitally mature industries - for years it's remained confusing, paper-based and heavily intermediated. We launched in 2016 to build a global, AI-powered platform that digitises the entire insurance process, making it transparent, less costly and more reliable. It’s an exciting time to join Open and be part of a tech scale-up. We provide our team with: • Highly competitive compensation, including share options — we believe in paying people what they’re worth and having everyone in our company share in our success., • High levels of autonomy and trust so you can do your best work., • Growth opportunities internally — as you grow, your role can too., • Flexible working — we are about impact, not time at your desk., • We encourage freedom and responsibility, including the ability to work from anywhere., • Paid company parental leave, supporting all parents as they balance career and family., • Personal development allowance — flexible annual benefit to support learning, wellbeing and personal growth. Insurance is one of the world’s least digitally mature industries: confusing, paper-based and heavily intermediated. We launched in Australia in 2016 to digitise the entire process, opened our London office in 2022 and our Manchester office this year. We’re a Certified B Corporation with a team across the UK, Australia and New Zealand. Diverse perspectives and lived experiences make us better at what we do. If your CV doesn’t tick every box, apply anyway. Let us know if you need any adjustments through the process and we’ll make it work. Open is for builders - people who are intellectually curious, courageous and reject the idea that "it can’t be done". If that sounds like you, apply and let’s build the future of insurance together. #J-18808-Ljbffr

A career at Janus Henderson is more than a job, it's about investing in a brighter future together. Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right. Our Values are key to driving our success, and are at the heart of everything we do: Clients Come First - Always | Execution Supersedes Intention | Together We Win | Diversity Improves Results | Truth Builds Trust If our mission, values, and purpose align with your own, we would love to hear from you! We are looking for someone who is already deep into AI, not just familiar with it, to join our EMEA Equity Trading team. You will analyse trading data, automate desk outputs and build tools that seek to improve our processes. This is a technical role, not a trading role: you will learn the domain from one of the most experienced equity trading teams in the industry, but you need to arrive with genuine AI and data capability from day one. If you are the kind of person who builds things before being asked, picks up new tools fast and is not satisfied with how things were done yesterday, this is worth reading on. • Own the AI and automation agenda for the team. You will have the freedom to identify where AI tooling can replace manual processes, design the solution and build it. This is not a role where you execute someone else's backlog; you are expected to bring ideas, test them quickly and ship what works., • Work directly with Traders and Portfolio Managers to understand how they consume data, where their pain points are and what would change their workflow. The tools you build will be used by the most senior investment professionals in the firm, so everything you deliver needs to be clear, well designed and grounded in how the desk actually operates., • Analyse trading datasets using Python and AI tooling to surface trends, inefficiencies and opportunities. You will encounter execution analytics, Transaction Cost Analysis, Algo Wheel configuration, market microstructure and European regulatory requirements. You do not need to arrive as an expert in all of these, but you need to be comfortable working with complex, domain‑specific data and learning fast., • Modernise the desk's day-to-day outputs from a consumable content standpoint so they are automated, visually sharp and worthy of readership., • Help the wider team build confidence with AI tooling. Run demos, share practical examples, explain what works and why. The goal is not just for you to stay current with new tools and techniques, but to bring the rest of the desk along so the whole team's capability rises, as well as your own., • Contribute to the firm's wider community of AI practitioners, sharing what works on the desk, learning from other teams & experts and evolving best practice for AI adoption across the organisation., • Hybrid working and reasonable accommodations, • Generous Holiday policies, • Excellent Health and Wellbeing benefits including corporate membership to ClassPass, • Paid volunteer time to step away from your desk and into the community, • Support to grow through professional development courses, tuition/qualification reimbursement and more, • Maternal/paternal leave benefits and family services, • Complimentary subscription to Headspace - the mindfulness app, • All employee events including networking opportunities and social activities, • Lunch allowance for use within our subsidized onsite canteen, • A degree in a technical or quantitative discipline, or equivalent professional experience. No specific degree subject is required; capability and aptitude matter more than the title on the certificate., • Python and AI-assisted development. You will write code with AI, not without it. Comfortable working alongside agents and AI coding tools (GitHub Copilot, Claude Code or similar) to build, debug and iterate. Enough engineering judgement to ensure what you produce is safe, reliable and fit for production use on the desk and in an enterprise environment., • AI proficiency. Prompt engineering, LLM-assisted analysis, agentic workflows, tool orchestration. You should be the person your peers come to when they want to know what is possible., • Numerically sharp. Comfortable working with large, complex datasets and spotting when outputs do not make sense. This role sits on a trading desk, therefore absent of coding you will need good communication skills and fluent with numbers., • Delivery mindset. Builds things that work and last, whether handed to a technology team to productionise or owned and maintained on the desk., • Stakeholder communication. Can explain technical trade‑offs clearly to non‑technical audiences., • 2-3+ years in a technical, data or analytics environment. Financial services exposure is a plus, not a prerequisite., • Demonstrated personal interest in AI beyond the workplace. Candidates who actively explore AI in their own time, whether through side projects, experimentation with new models, or automating real‑world problems outside of work, tend to bring a level of curiosity and initiative that is difficult to teach. This will be explored during the interview process., • Financial knowledge. Exposure to equity markets, trading, execution analytics, algorithmic trading or market microstructure. Interest in developing this knowledge (e.g. CFA study) is also valued., • SQL and data platforms. Comfortable querying structured data, ideally with experience in Snowflake or similar cloud data warehouses., • Data visualisation and design. Experience with dashboarding or visualisation tools (e.g. Streamlit, Power BI or similar). An eye for how information is presented to a senior audience., • Platform-level automation. Experience with low-code/no-code platforms (e.g. n8n, Copilot Studio), MCP, LLM observability tools (e.g. Langfuse), or managed model APIs (Azure AI Foundry, OpenAI, Anthropic)., • Modern development practices. Familiarity with any of: Docker, Terraform, CI/CD pipelines, Git., • Agent orchestration frameworks. Experience with LangChain, Semantic Kernel, AutoGen or similar is a plus. The team is moving towards more sophisticated agentic workflows., • No, • Mentoring, • Leadership development programs, • Regular training, • Career development services, • Continuing education courses You will be expected to understand the regulatory obligations of the firm, and abide by the regulated entity requirements and JHI policies applicable for your role. At Janus Henderson Investors we're committed to an inclusive and supportive environment. We believe diversity improves results and we welcome applications from candidates from all backgrounds. Don't worry if you don't think you tick every box, we still want to hear from you! We understand everyone has different commitments and while we can't accommodate every flexible working request we're happy to be asked about work flexibility and our hybrid working environment. Annual Bonus Opportunity: Position may be eligible to receive an annual discretionary bonus award from the profit pool. The profit pool is funded based on Company profits. Individual bonuses are determined based on Company, department, team and individual performance. Benefits: Janus Henderson is committed to offering a comprehensive total rewards package to eligible employees that includes; competitive compensation, pension/retirement plans, and various health, wellbeing and lifestyle benefits. To learn more about our offerings please visit the Why Join Us section on the career page here. Janus Henderson Investors is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks. Janus Henderson (including its subsidiaries) will not maintain existing or sponsor new industry registrations or licenses where not supported by an employee's job functions (as determined by Janus Henderson at its sole discretion). You should be willing to adhere to the provisions of our Investment Advisory Code of Ethics related to personal securities activities and other disclosure and certification requirements, including past political contributions and political activities. Applicants' past political contributions or activity may impact applicants' eligibility for this position. You will be expected to understand the regulatory obligations of the firm, and abide by the regulated entity requirements and JHI policies applicable for your role. #J-18808-Ljbffr

At Kyndryl, we run and reimagine the mission‑critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI‑powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well‑being is prioritized and your potential can thrive. Your Role As a Forward Deployed Engineer (FDE) with an AI & Agentic Engineering focus (Band 8), you own delivery of AI applications for complex customer engagements, including the agentic systems and generative AI features that go into production in close collaboration with platform engineering. You translate business challenges into technical solutions, build and iterate AI applications, and work hand‑in‑hand with the platform engineers on the team throughout design, build, and deployment. You’re accountable for what you build, including how well it holds up once people are actually using it. You operate with significant autonomy, bring deep expertise in agentic AI architectures and applied software engineering, and confidently bridge engineering rigour with business value. You use modern AI development tools and sound engineering practice across the full delivery lifecycle to accelerate learning, improve quality, and deliver measurable impact. • Translate business challenges into agentic AI applications and generative AI use cases, • Build and iterate AI applications: agentic workflows and the frameworks that run them, RAG pipelines, and LLM API integrations, • Process unstructured data into condensed, structured knowledge, including ontology extraction, • Write production‑grade Python services (FastAPI) with solid engineering practices: design, testing, code review, CI/CD, • Work with relational and graph databases (e.g.Postgres, Neo4j) to model and serve data behind AI applications, • Work closely with platform engineering throughout deployment — hosting and MLOps/LLMOps — without owning that infrastructure yourself, • Define AI governance and responsible‑use guardrails: data privacy boundaries and policy enforcement (OPA/Rego), • Instrument AI applications for observability (OpenTelemetry, Prometheus), • Guide clients through legacy modernisation into AI‑enabled workflows, troubleshooting performance and reliability issues, • Capture deployment learnings and share best practices to inform core AI platform frameworks, • Contribute code, reusable agentic patterns, and feedback to core platform teams You don’t need to tick every box below to apply — this reflects the breadth of the role, not a strict checklist. • 5+ years of hands‑on software engineering experience, with exposure to AI/ML integration and API design, • Strong Python engineering (FastAPI), with solid SDLC practices: design, testing, code review, CI/CD, Git & GitHub, • Hands‑on experience with agentic AI frameworks (examples include LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI’s Agents SDK, and Google’s Agent Development Kit) and MCP (Model Context Protocol), • Practical experience building RAG/LLM‑based pipelines and working with vector databases, • Experience with relational and graph databases (e.g.Postgres, Neo4j) and Docker for building and running AI applications, • Hands‑on familiarity with modern AI coding copilots (e.g.Claude, Codex, Cursor), • Familiarity with observability instrumentation for AI systems (OpenTelemetry, Prometheus), • Experience with AI/ML frameworks (TensorFlow, PyTorch) and the Hugging Face / open‑source AI ecosystem, • Experience with image understanding and OCR, • Working knowledge of policy‑as‑code (OPA/Rego) for AI governance and guardrails, • Understanding of LLM governance: data privacy, guardrails, and responsible‑use controls, • Experience guiding clients through legacy application modernisation into AI‑enabled workflows, • T‑shaped profile: solid technical expertise in AI engineering, broad understanding across enterprise IT and technical consulting, • Ability to serve as a trusted advisor, translating business requirements into technical roadmaps for diverse stakeholders, • Willingness to travel and work on customer premises as required, • Degree in Computer Science, Informatics, Data Science, Engineering, Physics, Mathematics, or a related discipline — or equivalent professional experience The “Kyn” in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don’t meet every requirement, we encourage you to apply. We believe in growth, and we’re excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging — being a valued, respected, trusted member of the team — is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That’s The Kyndryl Way. We offer a dynamic, hybrid‑friendly culture that supports your well‑being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health—because we know that when you feel your best, you do your best. From your very first day, you’ll dive into impactful work that powers the systems our customers rely on every day. You won’t just contribute—you’ll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth. We’re here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you’ll have everything you need to thrive and evolve. You’ll develop in‑demand skills to grow your career and achieve your ambitions with access to cutting‑edge learning opportunities—from certifications with Microsoft, Google, and Amazon to coaching and hands‑on experiences. And through it all, you’ll be part of a culture that values empathy, restless learning, and a devotion to shared success. We want you to thrive here—and we’re committed to helping you do just that. #J-18808-Ljbffr

TrustFlight builds software that aviation operators around the world rely on to keep flying safe, for an international customer base with an unusually varied set of problems. This role exists to build and sustain a high-performing team of six to eight engineers: coaching each individual, holding a consistent standard of performance, and owning the process, testing, tooling and infrastructure the team depends on. It is a people and systems leadership role rather than a technical leadership one. Product and the technical leads decide what gets built and how; the Engineering Manager owns the conditions that allow them to build it well and quickly. The postholder is one of four Engineering Managers in a Product, Design and Engineering department of around 40 to 50 people, which is growing and maturing quickly. There is considerable scope here to shape how engineering works across it., • Raise the performance bar with every hire and every promotion. Treat coaching as a core duty of the role, and upskilling as a standing remit: develop engineers through regular 1:1s, direct feedback, stretch assignments and explicit development plans, and grow technical leads as well as individual contributors., • Manage performance fairly and decisively. Set explicit expectations, recognise strong work, raise problems early and allow runway to respond, and address sustained underperformance promptly., • Act as the chief unblocker for the team across tooling, infrastructure, testing and process, and own the team's infrastructure-as-code estate. Identify the genuine constraints on throughput, including code review latency, slow or flaky tests, handoffs, approval gates and unreliable environments. Remove them, ensure the team can build, test, deploy, observe and recover quickly and safely, and evidence the improvement in flow metrics., • Own testing standards and the consistency of quality across the team, including the definition of "tested", the criteria that gate a release, and the management of coverage and test flakiness. Quality should not vary according to who wrote the code., • Architect cross-team developer tooling and drive consolidation of the technology estate, jointly with peer Engineering Managers and the Director of Engineering. Build the case for moving from a varied stack onto fewer, better-supported technologies. Establish paved roads and automated guardrails that teams adopt on merit, and sequence the change so that it strengthens delivery., • Work with the technical leads to maintain an accurate and current picture of technical debt, quality and process constraints. Translate it into risks and opportunities the Product Manager can prioritise, so that the balance between product output and technical excellence is a deliberate decision., • Lead the team's adoption of AI-assisted development. Set the standards for where and how AI is used, ensure AI-generated code is understood and accountable to a named engineer, guard against data, licensing and security risk, and maintain an evidence-based view of its effect on the team., • Help establish consistent engineering practice across TrustFlight with the other Engineering Managers. No shared approach to levelling, calibration, feedback and hiring yet exists, and building one is part of this role, so that an engineer's experience does not depend on which manager they report to., TrustFlight is an AI-first organisation. Every role is expected to actively engage with AI tools and digital ways of working to drive efficiency, quality, and innovation., • Set and maintain the team's standards for AI-assisted development, covering which tools are approved, where they may and may not be used, and how their output is reviewed., • Ensure AI-generated code entering the codebase is understood and accountable to a named engineer, and that review capacity scales with the volume AI produces., • Apply AI to strengthen testing and documentation, ensuring that AI-written tests validate the requirement and do not simply confirm the behaviour of the implementation., • Establish guardrails against the specific risks of AI-assisted engineering: leakage of customer or regulated data into model context, licensing contamination, and plausible but incorrect code in safety-relevant paths., • Complete TrustFlight's AI fluency onboarding within the first 30 days., • Dedicate time each month to evaluating emerging AI development tooling and agentic workflows, and pilot promising tools in a controlled way., • Share findings with the Engineering Manager group and the wider engineering team, including negative results., • Contribute to TrustFlight's engineering-wide standards for AI-assisted development, and to the evidence base available to customers and auditors., • People Leadership - Raises the bar with every hire and promotion; coaches deliberately and develops leaders as well as engineers; creates the conditions for people to do their best work., • Fairness and Consistency - Applies the same bar and the same care to everyone; makes reasoning visible; is trusted by engineers and by peers in calibration., • Systems Thinking - Treats delivery problems as problems with the system rather than with the people; identifies the constraint before asking for more effort; takes obstacles off other people's desks and measures success by the team's output., • Technical Judgement - Sufficient depth to ask the right question, weigh a trade-off, and defer to the technical leads when appropriate., • High Standards in a Safety Domain - Holds a consistent quality bar and does not allow defects to pass down the line; recognises that operators' safety cases depend on this software., • At least three years' experience as a dedicated people manager of software engineers, including senior engineers and, ideally, technical leads., • A software engineering background sufficient to contribute credibly in a design review, challenge an architectural decision on its merits, and distinguish a team that feels fast from one that is fast. The postholder will not act as the team's technical lead and will not be assessed on code they write., • Current, practical familiarity with infrastructure-as-code, CI/CD and automated testing, covering Terraform, Pulumi or equivalent, containerised deployment and a major cloud platform, sufficient to own the estate, set standards and review the work., • A track record of raising and holding a quality bar across a team: testing strategy, review standards, and the discipline to keep them consistent as the team and the codebase change., • Demonstrable experience of improving how a team works, supported by evidence of the resulting difference., • Direct experience of performance management, including at least one case of successfully improving, or fairly exiting, an underperformer., • Practical experience of agentic development setups, using tools such as Claude Code, Codex or Cursor, introduced at team or organisation level along with the governance around them., • Experience building or operating auditable agent orchestration systems. A strong advantage, though not a requirement., • A track record of putting AI workflows into real use, and of helping ship AI features in production applications., • An understanding that this field is changing quickly, with the adaptability to keep pace and the credibility to bring a team along on that journey., • Experience leading, or contributing materially to, a technology-stack consolidation across multiple teams., • Experience raising standards across a heterogeneous or inherited technology estate without mandating uniformity., • Experience in a regulated, safety‑critical or externally audited software environment, such as aviation, medical, defence or financial services. Valuable, though not a requirement. AI & Digital Competency, Right to work in the UK. Background screening as required for access to customer and regulated data, including ability to obtain CTC. #J-18808-Ljbffr

Our client, a leading hedge fund, is looking for a Senior Applied AI Researcher to join their Applied AI team in London. You will transform how professionals interact with artificial intelligence in high‑performance environments, building reasoning models and collaborative AI workspaces. This role offers a unique opportunity to push the boundaries of human + AI collaboration, working within a rich ecosystem of data, models, compute resources, and expert users to enable rigorous experimentation and innovation. • Conduct original research in machine learning, particularly in reinforcement learning, agent architectures, and large language models (LLMs)., • Prototype and develop new ML models and algorithms for real‑world deployment., • Collaborate with engineering teams to integrate research into production systems., • Design experiments and analyze results to evaluate model performance., • Engage with end‑users to align research with practical applications., • Contribute to the research community through publications, presentations, and open‑source projects., • Mentor junior researchers and help shape technical strategy., • Participate in the full research lifecycle from ideation to deployment., • PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related field., • Strong publication record in top‑tier conferences (NeurIPS, ICML, ICLR, ACL, EMNLP)., • 2–5 years of post‑PhD experience., • Deep expertise in machine learning with a focus on NLP and reinforcement learning., • Experience developing ML models in Python (PyTorch)., • Proven ability to translate research into scalable, practical solutions., • Experience deploying ML models in production environments., • Familiarity with financial markets or complex decision‑making domains., • Knowledge of vector databases, semantic search, or information retrieval systems. Mid‑Senior level Full‑time Finance #J-18808-Ljbffr

Blackstone is seeking a Product Manager (AVP) on the AI Platform team to own core enterprise capabilities that keep the platform secure, scalable, and extensible. You'll focus on governance, administration, security, and enablement features for AI agents and workloads at scale across the LLM gateway, MCP gateway, agent runtime, and model governance. You will translate complex platform requirements into self-service experiences for builders, partner with Platform Eng/SRE/Security, and define APIs #J-18808-Ljbffr

• Sit with business users - portfolio managers, analysts, traders, marketing, sales, HR, and operations - to understand their workflows, their data, and their day-to-day friction., • Partner with the AI Enablement Partners on escalated demand that business teams and citizen developers cannot deliver themselves., • Set realistic expectations on what is feasible, what it will take, and what it will not do., • Design, build, and productionise bespoke, higher-complexity AI solutions, owning them through to live running., • Prototype with the business close at hand, then harden what works into production rather than leaving a demonstration., • Own the architecture and design decisions for your solutions, keeping them secure, scalable, and aligned to the enterprise core stack., • Take solutions through evaluation, observability, and our AI governance checkpoints, and keep them healthy afterwards., • Build advanced investment capability on Nexus and make it available across the firm., • Work with quantitative researchers and investment teams to take models and signals from one desk into a supported, firm-wide capability., • Put validation, monitoring, and reproducibility around signal output investment professionals rely on, and help take citizen developer workflows through to production., • Source data through APIs, vendor feeds, and enterprise systems, and build the ingestion pipelines that keep it flowing., • Curate raw data into business-focused views, and own its lineage, quality, and freshness., • Expose data and capability through Accio, and as skills, tools, and connectors on Nexus, so any approved agent or application can reach them., • Build reusable components rather than one-off integrations, and feed the patterns back to AI Architecture and AI Engineering., • Co-build enterprise core-stack deliverables with Percepta and AI Engineering, designed for transfer into business-as-usual., • Work with AI Security and AI Governance Implementation so solutions meet our security, data-privacy, and responsible-AI standards., • Keep current with LLM capabilities, agent patterns, and AI tooling, and bring back what is genuinely useful., • Hybrid working and reasonable accommodations, • Generous Holiday policies, • Excellent Health and Wellbeing benefits including corporate membership to Wellhub, • Paid volunteer time to step away from your desk and into the community, • Support to grow through professional development courses, tuition/qualification reimbursement and more, • Maternal/paternal leave benefits and family services, • All employee events including networking opportunities and social activities, • Lunch allowance for use within our subsidized onsite canteen, • Asset management or financial services domain knowledge, particularly the investment process, front office workflows, or fixed income., • Quantitative investment concepts such as fair value, relative value, signal generation, or portfolio construction., • Snowflake, Microsoft Fabric / OneLake, or comparable enterprise data platforms., • Azure AI Foundry, model gateways, inference routing, or AI evaluation and observability in production., • TypeScript or a second production language, and front-end experience for user-facing AI applications. A career at Janus Henderson is more than a job, it's about investing in a brighter future together. Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right. Our Values are key to driving our success, and are at the heart of everything we do: Clients Come First - Always | Execution Supersedes Intention | Together We Win | Diversity Improves Results | Truth Builds Trust If our mission, values, and purpose align with your own, we would love to hear from you! These are the paragraphs text rationally from You will sit with business users... until ... Azure with Terraform, Docker, and CI/CD. • You ship. What you build reaches production, is used by the business unit you built it for, and stays healthy once live., • Business users come to you early enough that you shape the problem rather than receive finished requirements., • Capability proven on one desk is exposed through Accio and Nexus so other teams consume it rather than rebuild it., • Mentoring, • Leadership development programs, • Regular training, • Career development services, • Continuing education courses At Janus Henderson Investors we're committed to an inclusive and supportive environment. We believe diversity improves results and we welcome applications from candidates from all backgrounds. We understand everyone has different commitments and while we can't accommodate every flexible working request, we're happy to be asked about work flexibility and our hybrid working environment. If you need any reasonable accommodations during our recruitment process, please get in touch and let us know at recruiter@janushenderson.com #LI-LN2 #LI-HYBRID. Position may be eligible to receive an annual discretionary bonus award from the profit pool. The profit pool is funded based on Company profits. Individual bonuses are determined based on Company, department, team and individual performance. Janus Henderson is committed to offering a comprehensive total rewards package to eligible employees that includes; competitive compensation, pension/retirement plans, and various health, wellbeing and lifestyle benefits. To learn more about our offerings please visit the Why Join Us section on the career page here (https://www.janushenderson.com/careers/). Janus Henderson Investors is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks. Janus Henderson (including its subsidiaries) will not maintain existing or sponsor new industry registrations or licenses where not supported by an employee's job functions (as determined by Janus Henderson at its sole discretion). You should be willing to adhere to the provisions of our Investment Advisory Code of Ethics related to personal securities activities and other disclosure and certification requirements, including past political contributions and political activities. Applicants' past political contributions or activity may impact applicants' eligibility for this position. You will be expected to understand the regulatory obligations of the firm, and abide by the regulated entity requirements and JHI policies applicable for your role. #J-18808-Ljbffr