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At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators and champions of inclusion, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We’re seeking a future team member for the role of Senior Vice President OPs Process Engineer to join our team. This role is located in New York. In this role, you’ll make an impact in the following ways: • Responsible for driving process optimization, transformation and innovation across operations to accelerate AI., • Partners with business leadership to recommend and design re-engineering initiatives based on strategic goals., • Identify optimisation opportunities to reduce redundancies, overlap and similarities, • Acts as a subject matter expert for business process improvement across the LOB ensuring best practice., • Leverage relevant tools as well as effective use of data to articulate & solve business problems., • Leverage process domain experience to identify & build process automation solutions, • Establishes the strategic approach for business process re-engineering within assigned area based on broad functional goals., • Guides staff in strategies for building, adoption and utilization of re-engineering initiatives., • Provides input into the development of solutions and long-term goals for the function, • Contribute to the Process Re-engineering community via various means e.g., training, showcase of projects and best practices, • 4-10 years significant experience of leading complex re-engineering projects and programs, • Knowledge of Process Re-Reengineering Digital Tools and capabilities (e.g., iGrafx, Visio, UI Path, BPMN), • Lean / Six Sigma and/or PMP certification is preferred Here’s a few of our recent awards: America’s Most Innovative Companies, Fortune, 2025 World’s Most Admired Companies, Fortune 2025 “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $102,000 and $139,500 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs. This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors. For over 230 years, the people of BNY Mellon have been at the forefront of finance, expanding the financial markets while supporting investors throughout the investment lifecycle. BNY Mellon can act as a single point of contact for clients looking to create, trade, hold, manage, service, distribute or restructure investments & safeguards nearly one-fifth of the world's financial assets. BNY Mellon remains one of the safest, most trusted and admired companies. Every day our employees make their mark by helping clients better manage and service their financial assets around the world. Whether providing financial services for institutions, corporations or individual investors, clients count on the people of BNY Mellon across time zones and in 35 countries and more than 100 markets. It's the collective ambition, innovative thinking and exceptionally focused client service paired with a commitment to doing what is right that continues to set us apart. Make your mark: bnymellon.com/careers.

Partner Across Product and Engineering: Work closely with product, data science, and application engineering teams to translate business requirements into AI systems. Experience applying LLMs and generative AI in production, including prompt engineering, RAG, and LLM deployment. Strong grasp of fund

Your engineering work will directly enable next-generation capabilities, including:.Threat Detection Engine: Build advanced detections to identify threats early, including identity compromise, privilege escalation, impossible travel, and data exfiltration across identity, network, device, and sessio

Build the backend services that manage the lifecycle of an AI-generated clip, from beginning to final delivery.Create the interfaces that connect advanced ML workflows with core Video Ops and Encoding pipelines.Ensure our metadata and payload delivery systems can handle the automated processing of t

Ability to travel as required by business and on-call availability.

Architect and build internal web applications using NextJS and FastAPI.Design and own backend services and REST APIs that power automation tools and AI-driven features.Partner with data engineers to integrate BigQuery pipelines and metadata systems into user-facing products.Drive features from conce

Sr. Distinguished AI Engineer (Agentic AI Platform) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. * A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. * Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. * Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. * You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. * You’ll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs * Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies * At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) * 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) * 8+ years of experience designing mission-critical machine learning platforms * 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Master's degree in Computer Science, Computer Engineering, or relevant technical field * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers * Experience leading GenAI or LLM-Powered application architectures in production * Deep understanding of Responsible AI, data privacy and multi-tenant security patterns * K8s mastery (multi-region clusters, service mesh) * Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Plano, TX: $179,400 - $204,700 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies * At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer Richmond, VA: $244,700 - $279,200 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Lead AI Engineer (GenAI Platform) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Distinguished Engineer, AI Compute (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform. You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. In this role, you will : * Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform * Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics * Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows * Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models * Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions * Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions * Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities * Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies * At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications : * Master’s Degree in Computer Science or a Master’s Degree in Software Engineering * Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management) * Experience building platforms that support LLM training, fine-tuning, or high-throughput inference * Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies * History of upstream contributions to major distributed systems projects Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job DescriptionJob Title: Facilities Maintenance Technician - Building Engineer Location: Newark. NJPay: $34/hrType of Placement: Direct HireShift: Must be open to start Job Description The Facilities Maintenance Technician will be responsible for the daily maintenance and repair of building facilities. This includes work on elevators, conveyor systems, mechanical systems, lighting systems, communication/radio systems, air handling/HVAC units, fire systems, plumbing systems, and more. Technicians may also work with PLC electronic systems, computer controls, and steel frame structures. Responsibilities • Perform maintenance and repair tasks on various building facilities including elevators, conveyor systems, and HVAC units., • Work with communication and radio systems, fire systems, and plumbing systems., • Engage in high and low voltage electrical repairs, including installation and repair of 110/220/480 volt single and multiphase electrical circuitry., • Read and follow wiring schematics for industrial wiring tasks., • Thorough knowledge of general building maintenance with an emphasis on electrical systems., • Experience in electrical troubleshooting including AC & DC circuits and high voltage (480) repairs., • Experience in industrial maintenance, electrical maintenance, and preventive maintenance., • Ability to read and follow wiring schematics., • Experience in electronics diagnostics and troubleshooting., • Valid, clean, applicable state driver's license. Enjoy a $10,000 sign-on bonus with half paid after 30 days and the other half after 12 months. Benefit from yearly pay increases, reaching up to $60.00 an hour after 8 years. Experience extremely competitive benefits. Work Environment The work environment includes both indoor and outdoor settings at airport terminals. Be prepared to work on a flexible schedule that covers all shifts, including weekends and holidays. Schedules are bid and awarded based on seniority. Job Type & Location This is a Permanent position based out of Newark, NJ. Pay and Benefits The pay range for this position is $71802.00 - $71802.00/yr. We offer competitive benefits: medical, dental, vision, life, accident & disability, employee assistance program, commuter, paid holidays, paid time off, 401(k), pension and flight privileges (subject to the respective collective bargaining agreement). See attached SOP. Workplace Type This is a fully onsite position in Newark,NJ. Application Deadline This position is anticipated to close on May 22, 2026. About Aerotek We know that finding work is hard, and finding meaningful work is harder. Aerotek connects 180,000+ light industrial and skilled trades workers with 14,000+ employers each year, helping our workers navigate an evolving labor market and find jobs that meets their goals, skills and interests. Since 1983, we have provided a variety of career opportunities across North American industry – from short-term assignments at Fortune 500 companies where you can build your skills, to long-term opportunities where you can play a vital role solving for companies’ construction, manufacturing and maintenance challenges. Our 1,500+ experienced recruiters across 250+ offices work relentlessly to put our workforce in a position to thrive. Let us rise to meet your challenges and put our people-are everything spirit to the test as your career continues to grow. Aerotek offers weekly pay, employee benefits including medical, dental & vision, life insurance, health advocacy and employee assistance programs, a 401(k) plan, and employee discounts. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools. Company DescriptionWe know that finding work is hard, and finding meaningful work is harder. Aerotek connects 180,000+ light industrial and skilled trades workers with 14,000+ employers each year, helping our workers navigate an evolving labor market and find jobs that meet their goals, skills, and interests. Since 1983, we have provided a variety of career opportunities across North American industry – from short-term assignments at Fortune 500 companies where you can build your skills, to long-term opportunities where you can play a vital role in solving companies’ construction, manufacturing, and maintenance challenges. Our 1,500+ experienced recruiters across 250+ offices work relentlessly to put our workforce in a position to thrive. Let us rise to meet your challenges and put our people-are-everything spirit to the test as your career continues to grow.We know that finding work is hard, and finding meaningful work is harder. Aerotek connects 180,000+ light industrial and skilled trades workers with 14,000+ employers each year, helping our workers navigate an evolving labor market and find jobs that meet their goals, skills, and interests. Since 1983, we have provided a variety of career opportunities across North American industry – from short-term assignments at Fortune 500 companies where you can build your skills, to long-term opportunities where you can play a vital role in solving companies’ construction, manufacturing, and maintenance challenges. Our 1,500+ experienced recruiters across 250+ offices work relentlessly to put our workforce in a position to thrive. Let us rise to meet your challenges and put our people-are-everything spirit to the test as your career continues to grow.

Vice President, Fixed Income and Equity Data Management Engineer - Full-Stack Engineer At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world’s financial system we touch nearly 20% of the world’s investible assets. Every day around the globe, our 50,000 plus employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities, and people everywhere. We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what #LifeAtBNY is all about. We’re seeking a future team member for the role of Vice President, Fixed Income and Equity Data Management Engineer- Full-Stack Engineer to join our BUY SIDE TRADING BUSINESS as part of CAPITAL MARKETS team. This role is open in Boston, MA and New York, NY. This is an exciting opportunity for an experienced engineer to manage and drive business expansion through an engineering lens. Working closely with a cross-asset desk as we design, architect, and build a state-of-the-art platform to empower extensive reporting capabilities, research, and real-time analytics, in support of our new global, multi-asset trading organization. In this role, you’ll make an impact in the following ways: • Partnering with product, quants, traders, and ops; translating requirements into robust data solutions., • Play a key role in the design and architecture of trading and market data structures, • Design and build a historical and real-time data management platform for a global, multi-asset trading organization., • Ensure data integrity through proper data quality and validation, • Support and work alongside a cross-functional engineering team on the latest technologies, • Drive with an AI first mind-set towards automation and code-refactoring, • Hands-on programming of well-designed, testable, secure, and efficient code., • Strong understanding of either Equities or Fixed Income trading workflows, • Solid understanding of market microstructure and OMS/EMS flows (FIX, order types, venue routing) to design practical normalization., • Strong understanding of database schemas and structures, • Strong in Python and SQL coding, • FIX protocol/messaging knowledge, • Demonstrates proficiency in the design, development, and implementation of data, reporting and database technologies and tools., • Broad experience with multi-platform development tools and toolkits, especially open-source software., • Experience in formal Software Development Lifecycle and Agile methodologies for projects and problem resolution., • Excellent oral and written communication skills., • Good organization skills to coordinate and lead projects., • Strong problem-solving skills with the ability to come up with innovative solutions., • Bachelor's degree in computer science, financial engineering, statistics or related discipline OR equivalent work experience is required. Here’s a few of our recent awards: • America’s Most Innovative Companies, Fortune, 2025, • World’s Most Admired Companies, Fortune 2025, • “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $80,000 and $200,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs. This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors. For over 230 years, the people of BNY Mellon have been at the forefront of finance, expanding the financial markets while supporting investors throughout the investment lifecycle. BNY Mellon can act as a single point of contact for clients looking to create, trade, hold, manage, service, distribute or restructure investments & safeguards nearly one-fifth of the world's financial assets. BNY Mellon remains one of the safest, most trusted and admired companies. Every day our employees make their mark by helping clients better manage and service their financial assets around the world. Whether providing financial services for institutions, corporations or individual investors, clients count on the people of BNY Mellon across time zones and in 35 countries and more than 100 markets. It's the collective ambition, innovative thinking and exceptionally focused client service paired with a commitment to doing what is right that continues to set us apart. Make your mark: bnymellon.com/careers.

JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Union Operating Engineer - JLL Local 68 Shift Options Available (includes shift differential) Sunday - Thursday OR Tuesday - Saturday 3 pm - 11 pm OR 11 pm - 7 am What this job involves: As a Union Operating Engineer at JLL, you'll be the cornerstone of building operations during the overnight shift, ensuring critical systems run seamlessly while our clients' facilities remain safe and comfortable. This role combines hands-on technical expertise with systems monitoring, placing you at the center of a dynamic operation where your skills directly impact building performance. You'll maintain and repair electrical, mechanical, and control systems while using remote monitoring technology to optimize equipment operation. You'll conduct regular rounds, respond to tenant needs, and coordinate with vendors when required, all while maintaining the highest standards of safety and cleanliness. At JLL, we are collectively shaping a brighter way — for our clients, ourselves and our fellow employees — and this position exemplifies that commitment through your essential work keeping facilities running at peak performance What your day-to-day will look like: * Repair and maintain electrical, mechanical, and control systems while maintaining detailed logs of work completed and parts used * Use remote monitoring and control systems to regulate equipment operation and optimize building performance throughout your shift * Conduct appointed rounds as outlined and complete tour sheets, ensuring all systems are operating properly and safely * Monitor fire and smoke alarm equipment and immediately report any issues to the proper designee to maintain life safety systems * Respond to house calls as assigned, resolving tenant issues promptly and professionally to ensure occupant satisfaction * Supervise third-party vendors during maintenance and repair work on electrical, mechanical, and control systems when assigned * Keep all machine rooms and utility spaces neat, clean, and organized while reporting any defective equipment or safety concerns * High school diploma or equivalent * Member of Local 68 in New Jersey or willing to join Local 68 upon hire * Minimum 1-2 years of experience as an Operating Engineer * CFC Certification – EPA certification * Ability to read, analyze, and interpret technical procedures, governmental regulations, and system diagrams * Physical ability to lift and move up to 50 pounds regularly, climb ladders, work in confined spaces, and navigate all areas of the property including stairs, roof areas, and equipment rooms * Blue Seal Refrigeration License and Black Seal Boiler License * Experience with computerized maintenance management systems (CMMS) and building management systems (BMS) * Advanced proficiency with Microsoft Office suite and computer-based building control systems * Strong building systems knowledge across HVAC, electrical, plumbing, and life safety equipment * Experience working in commercial office buildings or similar Class A properties #FMJobs This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship. Estimated compensation for this position: 90,209.00 – 90,209.00 USD per year This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations. Location: On-site –JERSEY CITY, NJ If this job description resonates with you, we encourage you to apply, even if you don’t meet all the requirements. We’re interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: * 401(k) plan with matching company contributions * Comprehensive Medical, Dental & Vision Care * Paid parental leave at 100% of salary * Paid Time Off and Company Holidays * Early access to earned wages through Daily Pay At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our ___. For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy ___. Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at ___. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our ___ page > I want to work for JLL. Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment. Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest. Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate. California Residents only If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our ___ which describes your rights and disclosures about your personal information. If you are viewing this on a mobile device you may want to view the CCPA version on a larger device. Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Accepting applications on an ongoing basis until candidate identified.

Sr. Lead AI Engineer (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

JOB TITLE: DATA AUTOMATION ENGINEER JOB LOCATION: WASHINGTON DC (REMOTE) WAGE RANGE*: 75.00-79.00 PER HOUR JOB NUMBER: SAIJP00038797 JOB DESCRIPTION Data Automation Engineer to work with a team of subject matter experts and developers to design and implement innovative data automation solutions for Azure cloud-based data lake, SQL, and NoSQL platform. As a data automation engineer, you will translate business requirements to data engineering and AI based solutions to support an enterprise scale Microsoft Azure based data analytics and reporting platform. Our ideal candidate is mission focused and delivery oriented and applies critical thinking to create innovative functions and solve technical issues.Utilize Microsoft Azure services including Azure Data Factory, Synapse Pipelines, Apache Spark Notebooks, Python, SQL, stored procedures to develop high performing data pipelines. Not required, but additional education, certifications, and/or experience are a plus:Experience and/or certifications in Generative AI development, Generative AI for Data Analytics, and solution delivery. Microsoft certification in Azure fundamentals, data engineer, Power BI, AI or AWS certified data engineer. Integration knowledge using enterprise/open source ETL toolsets, REST API, Docker. Experience or exposure to performance fine tuning (indexing, execution plans, views), data profiling and query analytics. Knowledge of security compliance standards with data encryption, cloud virtual networks, routing, firewalls, log analytics, monitors Basic knowledge of ARM or Bicep templates for automation, familiarity with RBAC access controls. Data lineage and impact analysis using tools like Purview, Synapse pipeline tracing, et Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities * While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.

We are looking for an Applied AI Engineer to design and deploy AI-powered features into our software ecosystem rethinking how work gets done across the company. You’ll operate as a forward-deployed builder, embedded with business teams to identify high-leverage problems and ship real solutions. This is a hands-on role where you’ll design, build, and deploy AI-powered systems that improve how we operate, make decisions, and deliver value.

CS/IT Graduates or About to be Grads. Get Hired by following a Process! Graduating with a CS degree is impressive — but it’s not enough anymore. Employers want hands‑on experience, real projects, and interview‑ready candidates. Getting hired in tech isn’t just about knowing how to code — it’s about proving you can deliver value from day one. Despite layoffs and market shifts, the tech industry still needs skilled developers. The challenge is proving you’re ready to contribute. A CS degree gives you a foundation, but employers want more — they want proof you can apply your knowledge in real‑world scenarios. If you just graduated (or you’re about to) and the job search is already feeling confusing, you’re not imagining it. A degree proves you can learn—but employers hire for job readiness : projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one. That’s why many new grads send hundreds of applications and still hear nothing back. It’s not because you’re “not smart enough.” It’s because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready. We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI —full-time opportunities aligned to client needs. Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML. SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI —so you don’t graduate with scattered skills, you graduate with an employable stack. SynergisticIT since 2010, has helped candidates land full-time roles at major organizations ( including Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, JPMC, Wayfair, Bank of America, Citi, and more) with offers commonly in the $95k–$154k range depending on role and skill depth. For a new grad, the bigger message isn’t the number—it’s that results require a structured pathway , not random applications. Here’s a realistic way to think about your advantage as a fresh graduate: you’re early enough to build the right foundation before bad habits set in. If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of “entry-level” candidate who actually feels like a safe hire. What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers , Java full stack developers , Python/Java developers , DevOps-focused engineers , and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers . The strongest candidates aren’t “tool collectors”—they’re people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly. Why fresh grads get stuck— Fresh grads often struggle for four predictable reasons: Resume doesn’t match job keywords (ATS filters you out). Projects look like school assignments (not production-aligned). Interview skills are undertrained (DSA, system design, SQL, behavioral). No structured pipeline (random applying without feedback loops). A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says “yes.” Who this path fits best If you’re a recent graduate, you’ll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelor’s or Master’s programs who need a real hiring plan Candidates who apply consistently but don’t get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways , and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities. If you’re tired of guessing, stop treating your job search like a lottery. Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer. If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact & get a roadmap: Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? Bottom line for fresh grads: Your degree is the starting line, not the finish line. If you want to get hired faster, you don’t need “more random courses.” You need a guided, job-focused path and the right people around you. In tech, it’s not just what you learn—it’s how you learn and who you build with that decides how far you go. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume Resolve hardware, software and network problems Provide hardware / software technical support Providing software and hardware support to end users Provide technical hardware, software and network support to end users Assist in troubleshooting software application issues Provide technical support for both hardware and software issues users Perform software and hardware demos Maintaining inventory of hardware/software in the computer Troubleshoot all support issues for the company (hardware/software/network) Develop applications software and systems Inquire regarding computer software or hardware operations to resolve problems Supporting maintenance of system software and hardware components Determine computer problems and to coordinate hardware and/or software solutions Configure and upgrade computer hardware / software Plan software releases in accordance with other software applications Provide system level support to all personnel for all company computer software Provide user orientation on hardware, software and network operations Perform first-line troubleshooting on various hardware and software Provide user PC hardware/software phone support Provide computer support services both for hardware and software through company help desk system

Job Description Who you are: You are a highly motivated self-starter looking to propel your career to the next level in a thriving and collegial professional environment. Who we are: Tarter Krinsky & Drogin LLP (TKD) is an entrepreneurial, growing, and highly supportive firm located in the heart of New York City. Our position as a mid-size firm promotes a work environment that fosters relationship building inside and outside of the office. We care about each other, our clients, the work we do, and the communities in which we live. It’s the kind of environment where every employee can develop into their best professional selves, where everyone’s contributions matter, and where each employee makes a real difference right from the start. TKD is a place to challenge, share ideas, and contribute your ideas and skills as part of an exceptional team. Each day holds an opportunity to make a real impact. The firm is currently building a dedicated AI function — one of the most substantive investments in legal technology infrastructure a firm of our size has undertaken — and this role is the cornerstone of that effort. What the role entails: The Legal Engineer is the bridge between TKD's attorneys and its AI infrastructure. This is not a technology role that happens to sit near lawyers — it is a legal operations role that requires deep fluency in both legal practice and AI tooling. The person in this role will own the attorney-facing layer of the firm's AI program: designing workflows, managing pilots, running training and adoption, and ensuring that AI capabilities translate into genuine value inside legal practice. This role works in close collaboration with the Head of AI, training co-lead, and the incoming AI Engineer. It is a high-visibility, high-impact position with significant room to shape how the firm builds and evolves its AI function over time. Essential responsibilities include: AI Workflow Design & Implementation • Design and build AI-enabled legal workflows across practice areas, including litigation, transactional, business immigration, and corporate, • Translate attorney needs into structured, repeatable workflow architectures that leverage AI platforms effectively, • Document and maintain workflow templates, playbooks, and standard operating procedures, • Serve as the primary day-to-day manager of vendor pilots, • Coordinate between pilot participants, vendor support teams, and firm leadership, • Collect structured feedback, develop evaluation scorecards, and synthesize results for the Fractional Head of AI and executive committee, • Co-lead firm-wide AI training and adoption program., • Develop and deliver training sessions tailored to different practice areas and staff functions, • Host recurring office hours for attorneys seeking one-on-one platform support, • Identify and cultivate super users and practice group AI leads across the firm, • Develop deep proficiency in each AI platform deployed by the firm — going beyond standard user training to the level of real-time troubleshooting and workflow coaching, • Stay current on platform updates, new features, and competitive alternatives, • Maintain working relationships with vendor contacts and serve as a liaison between the firm and vendor support teams, • Establish error handling protocols and quality review processes for AI-generated outputs in legal workflows, • Maintain a structured feedback loop between attorneys, the AI function, and firm leadership, • J.D. required., • Minimum of two years of law practice experience at a law firm, in-house legal department, or public sector office. Active bar admission not required, but candidates must have practiced law., • Demonstrated experience designing and deploying legal workflows on one or more AI-native legal platforms (e.g., Harvey, Jylo, CaseBlink, Litera One, ContractMatrix, Legora, or comparable tools). End-user familiarity is not sufficient — candidates should be able to describe specific workflows they architected, the legal process problems those workflows addressed, and how they were adopted by attorneys in practice., • Hands-on software development experience beyond low-code and no-code tooling. Candidates must be able to point to applications they have built or meaningfully contributed to in a professional or project context. Proficiency with development tools and AI frameworks is expected — including one or more of the following: LangChain, LangFlow, GitHub, Cursor, Claude Code, or OpenAI Codex. This is not a requirement for a senior software engineer; it is a requirement that the candidate has written real code, understands how software gets built, and can work credibly alongside an AI engineer on custom application development., • Strong understanding of legal workflows across at least one practice area (transactional, litigation, immigration, or similar), with the ability to translate those workflows into structured, AI-ready process designs., • Excellent communication skills — able to explain technical concepts to non-technical attorneys and translate attorney feedback into actionable technical direction., • Highly organized, self-directed, and capable of managing multiple workstreams simultaneously., • Demonstrated ability to design and deliver training or change management programs., • Familiarity with Microsoft Azure AI Foundry, Copilot, or similar enterprise AI infrastructure preferred., • Experience with AI prompt engineering and structured workflow documentation preferred., • Prior experience building or managing an AI, legal tech, or legal operations function preferred. What success looks like: In the first 90 days, a successful Legal Engineer will have: onboarded and begun actively managing the firm's vendor pilots; delivered at least two attorney training sessions with documented outcomes; developed workflow documentation for at least one practice area; and established a regular cadence of feedback collection from pilot participants. By six months, they will have become the firm's go-to resource for AI workflow questions — the person attorneys come to when they don't know how to get AI to do what they need. What you’ll love about us: We care about your professional and personal growth. Training and developing our team members are at the heart of everything we do. We are committed to cultivating development opportunities for you and helping you achieve your targeted career goals. The firm values your unique characteristics. We foster an inclusive and diverse environment where multiple perspectives are appreciated as we understand that our employees play an intricate role in the expansion and success of our firm. Compensation & benefits: The good faith base annual salary range for this position is a minimum of $140,000 to a maximum of $200,000. The actual salary rate offered to candidates within that range will depend on a variety of factors, including without limitation, years of relevant experience, applicable bar admissions, office location, and the candidate's overall qualifications for the position as assessed by the Firm. Market and Firm factors are also considered. Our generous benefits package includes medical, dental, vision insurance; 401K, disability, life insurance, and Paid Time Off (PTO). More about the Firm: TKD is a pre-eminent full-service firm focused on serving middle-market and larger business clients. We provide high-quality personalized service based on our client’s goals. The strength of the firm lies not only in its experienced attorneys and congenial atmosphere but also in our holistic approach to law – serving businesses and individuals through commercial litigation, general corporate, real estate, construction-related matters, trust and estates, employment & labor law, as well as more specialized areas, including securities, not-for-profit and education, taxation, business-related immigration matters, international law, intellectual property, and bankruptcy, among others. Our lawyers have also garnered several prestigious recognitions for their contributions to the profession and their clients. We have been selected by Crain’s NY Business as a Best Places to Work in New York City and listed on the National Law Journal’s Hot List of the top 20 mid-sized firms in the nation. Many of our lawyers are ranked in Chambers USA and included among Best Lawyers and Super Lawyers. TKD is an Equal Opportunity Employer. We embrace equal employment opportunity and inclusiveness. We prohibit discrimination based on, among other characteristics, race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, immigration or citizenship status, age, disability, genetic information (including family medical history), political affiliation, status as a veteran or active military service member, and pregnancy and lactation accommodations, in our employment practices including, but not limited to, recruiting, hiring, and promoting. TKD will not accept unsolicited resumes from search firms for this employment opportunity. All resumes submitted by search firms to any employee at TKD via mail, email, fax, the Internet, or in any other form and/or method without a valid written search agreement in place will be deemed the sole property of TKD. TKD will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

Job DescriptionJob Title : Lead ServiceNow Engineer Type: Full Time Location: New York (Hybrid) This is a senior level role designed for a ServiceNow Risk Management expert who not only delivers high quality solutions but also maintains strong awareness of ServiceNow’s product roadmap, upcoming IRM capabilities, and industry best practices. The individual will actively engage with ServiceNow product teams, stay ahead of platform innovations, and help client assess how emerging features can strengthen our ERM capabilities. You will partner closely with business stakeholders, ServiceNow platform engineering, enterprise architecture, data teams, and risk domain leaders to shape the evolution of our risk technology ecosystem. The position reports to the Head of Enterprise Risk Technology and operates as part of a senior development group responsible for delivering, maintaining, and advancing COMPANY's risk management applications on ServiceNow. You will drive improvements in configuration standards, system reliability, performance, and automation. You serve as a mentor to junior engineers and collaborate closely with other client Technology teams to ensure platform scalability and alignment to client's architecture and data standards. You will be responsible for following set of activities: Run (Operations & Stability) Lead day-to-day technical support for IRM, BCM, and TPRM applications in production Maintain and optimize existing configurations including forms, lists, workspace views, notifications, and ACLs Monitor scheduled jobs, integrations, and data quality checks related to risk, continuity, and third-party data Maintain shared dashboards and reporting data sources used by business stakeholders Provide Level 2 support for incidents and problems related to IRM, BCM, and TPRM Change (Enhancements, Design and Development) Partner with business product owners to convert requirements into high quality technical designs aligned to OOTB best practices. Implement enhancements across IRM, BCM, and TPRM, including flows, approval logic, persona models, questionnaires, scoring frameworks, and portal/workspace improvements. Build and maintain Flow Designer logic, business rules, Script Includes, UI actions, and other configurations. Strengthen integrations with CMDB, Archer, vendor systems, and external content providers (Integration Hub, REST, SOAP APIs). Contribute to reusable components, coding standards, and configuration governance for the IRM domain. Support upgrades with a focus on evaluating new IRM/BCM/TPRM features and identifying adoption opportunities for COMPANY Mentor and guide junior team members, supporting their growth in ServiceNow configuration and risk domain knowledge Product & Strategic Engagement: Maintain strong awareness of ServiceNow product roadmaps, store releases, and IRM/BCM/TPRM module enhancements. Participate in ServiceNow roadmap workshops, advisory councils, developer events, and product feedback sessions. Build working relationships with ServiceNow product managers and solution architects to advocate for client's needs. Assess new capabilities (e.g., AI features, workspace enhancements, GRC content packs) and recommend adoption strategies. Provide thought leadership on how ServiceNow IRM can advance client's risk management maturity. Help shape long-term technology strategy for ERM, BCM, and TPRM solutions You Have: 10+ years of experience configuring and integrating enterprise SaaS platforms. 5+ years of hands-on ServiceNow development or advanced administration Strong understanding of ServiceNow platform capabilities including tables, relationships, ACLs, UI policies, Flow Designer, and scripting using JavaScript Experience implementing or supporting IRM, BCM, TPRM, or other non-ITSM modules. Demonstrated ability to evaluate new platform features and translate them into actionable benefits for business teams Proven experience creating reports and dashboards for business stakeholders Ability to work with business leaders and convert requirements into scalable technical designs Strong communication skills and comfort working across technical and business teams Strong understanding of data governance, performance tuning, and system security. Experience leading technical troubleshooting and platform improvement initiatives. Strong communication, stakeholder partnership, and mentoring skills. Bias for automation, simplification, and continuous improvement. Estimated Min Rate: $112000.00 Estimated Max Rate: $160000.00 What’s In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: • Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week), • Health Savings Account (HSA) (for employees working 20+ hours per week), • Life & Disability Insurance (for employees working 20+ hours per week), • MetLife Voluntary Benefits, • Employee Assistance Program (EAP), • 401K Retirement Savings Plan, • Direct Deposit & weekly epayroll, • Referral Bonus Programs Yoh, a Day & Zimmermann company, 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 status as a protected veteran. Visit to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh’s hiring clients’ preferences. To learn more about Yoh’s privacy practices, please see our Candidate Privacy Notice: Company DescriptionYoh delivers expertise, methodology, and momentum to keep work moving forward. From strategy to execution, we deliver bold ideas and big results through consulting, staffing, and enterprise solutions. Nearly a century after our founding, Yoh remains STEM-centered, collaborative, and committed to client success. Yoh is a proud member of the Day & Zimmermann family of companies. Visit us at delivers expertise, methodology, and momentum to keep work moving forward. From strategy to execution, we deliver bold ideas and big results through consulting, staffing, and enterprise solutions. Nearly a century after our founding, Yoh remains STEM-centered, collaborative, and committed to client success. Yoh is a proud member of the Day & Zimmermann family of companies. Visit us at

We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Proven ability to build and maintain production-grade software with modular separation (e. Hands-on experience integrating agents with live tools such as Supabase, Gmail, a

About Prismera Prismera builds AI for commercial real estate portfolio operations. Our platform ingests unstructured portfolio documents and turns them into structured intelligence that powers how institutional owners and operators manage portfolios worth billions. We handle everything from document understanding and data extraction to agentic portfolio workflows and deal execution. We are backed by industry-leading executives, trusted by publicly traded REITs and national operators, and scaling into the largest institutional CRE firms in the world. The Role This is a founding design engineering role. You will own how Prismera looks, feels, and works: the interface design, the interaction patterns, the frontend implementation, and the systems that tie it all together. The core problem is this: commercial real estate portfolio operations are enormously complex. Hundreds of workflows, thousands of documents, multiple user types ranging from a 25-year-old analyst to a 60-year-old portfolio manager who has been doing this for decades. The instinct most platforms have is to solve complexity with more surface area. More tabs, more pages, more menus. That is not what we are building. You will figure out how to collapse that complexity into something so simple it feels obvious, without losing any of the power underneath. You will write production code. You will ship what you design. You will build relationships with customers across our client base and use those relationships to inform every decision you make about the product. If you think of yourself as someone who hands off Figma files, this is not the right fit. What You'll Do • Own the end-to-end design and frontend implementation of Prismera's product. You design it, you build it, you ship it., • Define the UX patterns for agentic AI workflows: how users interact with AI that acts autonomously on their behalf, how they build trust in its outputs, how they intervene when they need to. This is a new design space with very few established patterns., • Solve the information density problem: enterprise CRE users need access to massive amounts of data without being buried in it. You will design interfaces that surface the right information at the right time and hide everything else., • Build a design system and component library that scales as the product grows, without accumulating technical debt along the way., • Build and maintain direct relationships with an array of enterprise customers. You will be on calls, in Slack channels, and in their workflows regularly. What you learn from those relationships is what drives product decisions. Who You Are • 1-3 years of experience as a design engineer, product designer who codes, or frontend engineer with strong design instincts. What matters is the quality of what you've shipped, not the title you held., • You can go from concept to production code. You are fluent in React and modern frontend tooling, and you write clean, maintainable code., • You think about design in terms of user psychology, not just aesthetics. You care about button radius, but you care more about whether the person using the interface actually understands what is happening and what to do next., • You have strong opinions on simplicity. You believe the hardest design problem is figuring out what to leave out., • You are comfortable designing for users with wildly different levels of technical sophistication using the same product., • Experience designing for AI-native or agentic products is a major plus. If you've thought seriously about how humans should interact with autonomous AI systems, we want to hear about it., • You move fast, ship constantly, and refine based on real usage., • You want to be close to customers. You see direct client relationships not as a distraction from design work, but as the most important input to it., • Bonus: experience with enterprise SaaS, financial services, or complex data-heavy applications. Why Now We have enterprise customers, real revenue, and a product in a market where the incumbent software is decades old and was never designed for what AI makes possible. You would be joining at the earliest stage with the most leverage: not to maintain what exists, but to build what comes next.

JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. The JLL-SKAE Data Center and Mission Critical Commissioning group is looking for a seasoned Senior Commissioning Engineer / Project Manager to join our team to support our growth in this market segment. This position will act as the electrical commissioning technical team leader. This role can is open to agreed location throughout the US and will include approximately 30-40% overnight travel in support of our portfolio of projects. Ideal candidates will have the following experience and capabilities: * A strong fluency with the data center commissioning processes and deliverables covered in ASHRAE commissioning requirements and guidelines. * A strong fluency with ANSI and NETA testing standards for electrical equipment and systems. * A strong fluency with NFPA electrical safety standards. * Demonstrated expertise acting as the third-party commissioning lead for data center electrical systems and equipment, inclusive of factory inspections and testing, installation inspections, vendor startup, pre-functional testing, functional and integrated testing. * Both manage and perform commissioning design drawings, specifications and submittal reviews. * Lead electrical team members in the performance of, and where necessary, self-perform, the field commissioning activities. This includes scheduling and coordinating JLL and external project team members, ensuring CxA pre-test requirements are fulfilled by the contractors and relevant sub-trades, and maximizing efficiency and productivity of our staff. * Demonstrated experience working and coordinating directly with General Contractors (GC), sub-contractors, AHJs, Engineers of Record, and other stakeholders involved with the execution of small, medium and large-scale critical facility construction and commissioning projects. * Both manage and perform the development of project specific Commissioning Plans and Commissioning Specifications * Manage onsite and offsite commissioning activities, including: * Help develop JLL project proposals in response to client RFPs * Identify required team makeup for the project(s) * Support management of project budgets and financials * Manage the development, review and approval of L0-L6 commissioning test scripts and procedures * Act as main point of contact to client for all aspects of commissioning related to the electrical systems and equipment * Provide day-to-day technical direction to the electrical commissioning group, including mentoring junior personnel * Act as JLL Subject Matter Expert (SME) and technical point of escalation for commissioning of data center electrical equipment and systems * Schedule, lead and document on-site and offsite project commissioning meetings. * Write or manage the development of detailed standard operating procedures (SOPs) and Methods-of-Procedures (MOPs) for data center commissioning projects. * Possess a strong proficiency in use of QA/QC and Cx software applications such as Autodesk Construction Cloud (ACC), CxAlloy, Facility Grid, and other industry standard QA/QC and Cx platforms. Additional Expectations * Willingness to travel overnight up to 30-40% to client sites across the USA and Canada. Travel durations typically do not exceed two consecutive weeks. Qualifications * A minimum of 10 years of relevant experience in the startup and commissioning of data center electrical systems, with minimum of 5 years acting as electrical commissioning lead (ideally with experience in delivery of data center projects in excess of 25MWs). * An ABET accredited engineering or technology degree is strongly preferred but not required if candidate possesses equivalent demonstrated experience. * Ideally candidate will possess a Commissioning Professional certification from a recognized industry authority. * Prof Eng/PE and/or PMP designation is considered an asset but not required. * Significant knowledge and documented experience in the testing and commissioning of Transformers, Switchgear, Switchboards, Protection Relays, STS, PDU, UPS and Batteries, RPPs, Lighting Controls Systems, SCADA and Electrical Power Monitoring Systems (EPMS) for low, medium, and high voltage applications. * Significant knowledge and documented experience in the use of electrical test equipment to include but not limited to: Relay Testing Equipment, Primary and Secondary Injection Test Equipment, Power Quality Meters (PQMs), Infared Cameras, Electrical Test Meters (voltage, current, resistance, continuity), Insulation Resistance measuring equipment inclusive of MV cable VLF Test Equipment, Lighting Meters. * Strong data management skills. * Strong team leadership skills. * Excellent written and verbal communication skills with a strong proficiency in MS Project, Word, PowerPoint, and Excel. * Demonstrated ability to analyze and report against contractor (and other third party) schedule updates. * Experience working in an engineering consultancy or owner organization is an asset This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship. Estimated compensation for this position: 140,000.00 – 190,000.00 USD per year This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations. Location: Remote –New York, NY If this job description resonates with you, we encourage you to apply, even if you don’t meet all the requirements. We’re interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: * 401(k) plan with matching company contributions * Comprehensive Medical, Dental & Vision Care * Paid parental leave at 100% of salary * Paid Time Off and Company Holidays * Early access to earned wages through Daily Pay At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our ___. For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy ___. Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at ___. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our ___ page > I want to work for JLL. Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment. Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest. Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate. California Residents only If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our ___ which describes your rights and disclosures about your personal information. If you are viewing this on a mobile device you may want to view the CCPA version on a larger device. Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Accepting applications on an ongoing basis until candidate identified.

JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Join JLL as a Senior Reliability Engineer and drive cutting-edge asset management strategies! You'll revolutionize how we maintain buildings and infrastructure by integrating NOC systems, energy management, and lifecycle planning while analyzing real-time data to optimize performance. Lead root cause failure analyses, conduct maturity assessments, and develop cost-effective action plans that keep critical equipment running smoothly—all while collaborating with our Engineering Services COE to deliver measurable, outcomes-based results that exceed client expectations. On-site full-time at one of our client's facilities in NJ. Here is some of your day: • Deploy strategic asset management roadmaps by integrating BAS data, fault detection systems, maintenance programs, and capital planning to develop lifecycle analyses and repair-versus-replacement recommendations, • Execute site-level reliability programs through periodic audits focused on safety, regulatory compliance, maintenance effectiveness, cost savings, and energy conservation to increase system reliability, • Create and optimize preventative maintenance tasks using Reliability Centered Maintenance approaches, ranking asset criticality and defining cost-beneficial proactive maintenance strategies, • Lead root cause failure analysis investigations on equipment failures, prescribing corrective actions and monitoring follow-up effectiveness to prevent future occurrences, • Implement condition-based maintenance programs utilizing predictive technologies including vibration analysis, oil analysis, infrared thermography, ultrasound, and motor current analysis for rotating equipment, • Develop risk mitigation strategies for critical assets deployable across the portfolio while investigating new technologies for reliability improvements, • Maintain accurate CMMS records including equipment specifications, failure history, and BOM while developing Key Performance Indicators for equipment reliability (MTBF, planned/unplanned work ratios, cost metrics), • Execute multi-discipline facility condition assessments across multiple locations, documenting asset conditions to evaluate remaining useful life and compile portfolio-wide findings for capital planning, • Coordinate engineers, technicians, and third-party resources to accomplish cost-effective reliability improvements while supporting commissioning activities for upgrade and construction projects, • Collaborate actively with Maintenance and Planning groups to ensure appropriate reliability metrics are in place and equipment history is analyzed for future trending Here is who we are looking for: Required • 10+ years implementing RCM and CbM/PdM methods with extensive knowledge of mechanical, electrical, plumbing, and fire suppression systems in commercial, manufacturing, laboratory, or distribution facilities, • Proven experience operating building automation systems, energy management platforms, and CMMS/EAM systems with strong data analytics and capital planning capabilities, • Critical environment expertise preferred (data centers, laboratories, manufacturing) with practical experience developing and optimizing maintenance strategies, lifecycle costing, and total cost of ownership analysis, • Background in multi-disciplinary projects applying system integration techniques across diverse asset types, with experience implementing Management Systems (ISO9001, ISO55001), • Exceptional ability to analyze incomplete data sets, deliver informed recommendations, and communicate complex technical information through clear written and oral reports, • Strong Microsoft Excel proficiency for manipulating large data sets with systematic attention to detail and advanced organizational skills to balance multiple stakeholder requirements, • Proven training, coaching, and mentoring abilities using various tools and techniques while interpreting organizational goals into actionable departmental activities, • Self-motivated collaborative leader with strong interpersonal skills who embraces change, develops innovative solutions, challenges the status quo, and works effectively without direct supervision Preferred • Certified Reliability Leader, • Certified Maintenance Reliability Professional, • Level 2 thermography certification, • Level 2 vibration certification, • Level 2 ultrasound certification, • BS in an Engineering discipline, mechanical or electrical This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship. Estimated compensation for this position: 140,000.00 – 160,000.00 USD per year This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations. Location: On-site –Bridgewater, NJ, Carteret, NJ, JERSEY CITY, NJ If this job description resonates with you, we encourage you to apply, even if you don’t meet all the requirements. We’re interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: * 401(k) plan with matching company contributions * Comprehensive Medical, Dental & Vision Care * Paid parental leave at 100% of salary * Paid Time Off and Company Holidays * Early access to earned wages through Daily Pay At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our ___. For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy ___. Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at ___. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our ___ page > I want to work for JLL. Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment. Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest. Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate. California Residents only If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our ___ which describes your rights and disclosures about your personal information. If you are viewing this on a mobile device you may want to view the CCPA version on a larger device. Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Accepting applications on an ongoing basis until candidate identified.

AI automation, or complex systems integration.

We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Proven ability to build and maintain production-grade software with modular separation (e. Hands-on experience integrating agents with live tools such as Supabase, Gmail, a

To apply, please send the following to • Your resume / CV, • A short blurb introducing yourself and explaining why you are a good fit for the Hive, and confirming which location your're applying to (New York or London). Keep it short & real, no need for a fancy cover letter!, • Links to anything cool you’ve built with AI for work, school, or even just on your own time Position Overview The AI Hive is TowerBrook’s new fellowship for applied AI builders. This is not an analyst program and it is not a consulting role. Fellows do not produce slides about what AI could do. Fellows train intensively inside TowerBrook for six months, with the opportunity to progress into a twelve-month embed inside one of our portfolio companies as an Applied AI Engineer, working directly with CEOs and operating teams to ship AI-native solutions that move real numbers. The fellowship runs in two phases. In Phase 1 (six months), fellows are based at TowerBrook in New York or London, training with leading external AI partners and shipping high-priority internal projects across the firm. Fellows who excel in Phase 1 are considered for Phase 2 (twelve months): a full-time, onsite embed inside a TowerBrook portfolio company, working in person alongside the management team and reporting to the CEO, CTO, or Head of AI, and delivering milestone-based work with measured business outcomes. Fellows in this first cohort will have a unique opportunity to shape how TowerBrook builds and deploys AI talent across the portfolio Responsibilities Phase 1. Inside TowerBrook (Months 1 to 6) • Complete a three-week intensive training program with a leading AI-native training partner, covering prompt engineering, agent architecture, Claude Code and other coding assistants, workflow automation (n8n, Lovable), Python, and enterprise AI governance., • Pair with internal devs and senior engineers from best-in-class applied AI firms on live TowerBrook projects, shipping working prototypes within the first six weeks., • Lead at least two internal builds with named senior sponsors as business owners. Projects may span front, middle, or back office (investment teams, operations, finance, IR, compliance, knowledge management) depending on firm priority. Deliver shipped output, not recommendations., • Contribute to the shared Hive knowledge base (reusable agents, templates, playbooks) that compounds across future cohorts. Phase 2. Portfolio Company Assignment (Months 7 to 18) • Match into a portfolio company across TowerBrook verticals based on fit, and relocate as needed to work onsite at the company’s primary office for the duration of the twelve-month embed. Matching is jointly led by the Program Lead, the senior program sponsor, and TowerBrook’s Technology Operating Partners., • Run a four-week diagnostic sprint: map workflows, validate pain points, and produce a twelve-month build roadmap signed off by the company CEO and the TCP sponsor., • Execute three to five milestone-based build sprints of eight to twelve weeks, each delivering measured output (hours saved, revenue uplift, cost reduction, new capability shipped)., • Report directly to the company CEO, CTO, or Head of AI, while retaining ongoing connectivity to TowerBrook for the duration of the engagement., • Attend monthly Hive-wide cross-pollination sessions with other fellows and coordinators. Document learnings for the Hive knowledge base., • At the close of the twelve-month deployment, transition into one of four paths: a full-time role at the portfolio company, redeployment to a second company, a role at TowerBrook, or release into the TCP alumni network. Professional Qualifications & Experience • One to three years of post-university experience in a builder role. We read “builder” broadly: software engineering, data, product, operations with automation exposure, quantitative research, consulting with hands-on implementation, or early-stage startups. Candidates with fewer than one year or more than three years of experience are out of scope for the pilot cohort., • A technical or quantitative undergraduate background is welcome: computer science, engineering, physics, applied mathematics, statistics, computational biology, industrial engineering, operations research, information systems, or quantitative economics. We will also consider non-technical majors with visible builder evidence such as a GitHub portfolio, shipped side projects, or published technical writing., • Fluency with modern AI tools. You already use Claude or ChatGPT daily as a core part of your workflow, not as a novelty., • Working proficiency in Python or another scripting language is a plus — enough to prototype end-to-end without supervision is ideal, but not required. Formal ML engineering or data science experience is not required and is not what we are optimizing for., • Demonstrated evidence of shipped work outside a structured environment: a side project, an automation built at a previous role that nobody asked for, a product used by real users, or published writing with an audience. What you built matters more than where you built it., • Right to work in the United States (for New York candidates) or the United Kingdom (for London candidates) is preferred. Visa support may be available for exceptional candidates. Personal Qualifications • Stakeholder presence. At ease working with a company CEO or a TowerBrook partner, approaching business problems with curiosity and humility., • AI-native instinct. You reach for AI tools naturally during ideation and problem solving., • Builder disposition and bias for action. You try things rather than endlessly plan, and you pick up new tools quickly, including things outside your formal training., • Written communication. You can produce a crisp one-pager that a senior partner or a company CFO will actually read. Compensation & Benefits of working at TowerBrook • The base salary range for this role is $130,000 – $150,000. Compensation also includes eligibility for a discretionary annual bonus and a competitive benefits package, • Intensive applied AI training with a curated set of leading external partners across AI-native education and applied engineering, • Direct mentorship from senior TowerBrook partners, Technology Operating Partners, and portfolio company CEOs, • Guest seminar program featuring frontier AI lab teams, applied AI practitioners, and high-signal technical writers, • Clear post-fellowship pathways: full-time hire at the portfolio company, full-time role at TowerBrook (Applied Engineer, investment associate, or Hive coordinator), redeployment to a second portfolio company, or release into the TCP alumni network, • Access to cutting-edge AI tooling and early-access relationships with leading AI labs through TowerBrook’s partner networks, • A collaborative, entrepreneurial culture within a globally respected investment firm

Senior AI Engineer New York, NY - 4 days onsite $250,000 - $275,000 + bonus; $400,000-$500,000 total THE COMPANY Harnham is partnering with a niche PE firm in the NYC area, which is looking for an experienced AI / ML Engineer. This person will be at the forefront of building AI automation applications for new ways at identifying automation and optimization opportunities throughout the portfolio. You'll partner with executive teams across the company and own generative AI, LLM and reinforcement learning modeling and deployment. RESPONSIBILITIES • Work closely with department heads to align on business goals, define machine learning challenges, and design effective ML solutions., • Develop and deploy machine learning models, including building data pipelines, orchestrating ML workflows, and optimizing system performance and reliability., • Maintain a robust codebase by writing well-tested code, covering both functional and non-functional aspects such as unit, integration, and load testing., • Stay informed on industry trends and advancements in generative AI, LLMs, agentic AI, deep learning, experiment with new model concepts, and run both offline and online evaluations., • Actively share knowledge through internal presentations, tech talks, and by promoting best practices in engineering and technology use. SKILLS AND EXPERIENCE • BS/MS degree in Computer Science, Machine Learning or a related field., • Over 4 years of hands-on experience developing and deploying production-ready machine learning / deep learning / AI systems, covering the full model lifecycle—training, tuning, deployment, serving, and monitoring., • Background in Software Engineering required., • Enterprise-level application experience, ideally in real-time preferred., • Expertise in cloud infrastructure, machine learning orchestration tools like Kubeflow, TensorFlow, and the use of Feature Stores in live environments., • Experience as a tech-lead for scaling MLE teams preferred., • Commercial experience in smaller teams, scaling startups / scrappy environments a plus. BENEFITS The compensation package contains a base salary, bonus and a comprehensive benefits package. HOW TO APPLY Please register your interest by sending your CV via the Apply link on this page. KEY TERMS Artificial Intelligence | Generative AI | GenAI | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real Time | Enterprise | Statistics | Mathematics | Private Equity | PE | Portfolio | Anomaly Detection | Fintech | Agentic AI | AI Agents | Software Engineering | Software Engineer

About the Role We are seeking an AI Infrastructure Engineer (Python) to support, scale, and enhance a production AI and data platform. This role sits at the intersection of AI infrastructure, cloud engineering, and agent-based systems. You will be responsible for ensuring the reliability, scalability, and performance of AI-driven systems operating in production environments across multi-cloud platforms (Azure and GCP). This is not a modeling or research role it's focused on building and maintaining the infrastructure that powers AI systems at scale. This is an excellent opportunity for someone with strong foundational engineering skills who is eager to deepen their expertise in AI platforms and cloud-native systems. What You’ll Do Systems Engineering & Agent Operations • Develop, maintain, and optimize production-grade Python code supporting data pipelines, agent workflows, and platform tooling, • Own the full lifecycle of Python services (containerization, deployment, versioning, runtime management), • Manage environment configurations, secrets injection, and dependency management across containerized services, • Build internal Python tooling and shared libraries to accelerate development workflows, • Operate and scale AI-driven agent systems in production environments, • Ensure high availability, performance, and resilience under load, • Support integrations between AI agents and data platforms, • Build observability tools (logging, monitoring, tracing, alerting), • Implement auto-scaling strategies for containerized workloads, • Develop and manage infrastructure using Terraform across Azure and GCP, • Manage cloud services including container registries, identity systems, secrets management, and networking, • Deploy and maintain workflow orchestration tools (e.g., Prefect), • Maintain CI/CD pipelines and release workflows, • Document systems, workflows, and data lineage with clear runbooks What We’re Looking For Required • 3–5 years of experience in Software Engineering, DevOps, or MLOps, • Strong Python skills with experience building production systems, • Experience with Docker and containerized applications in cloud environments (Azure and/or GCP), • Hands-on experience with Terraform, • Experience with secrets management tools and secure configuration practices, • Familiarity with CI/CD pipelines and Git-based workflows, • Strong troubleshooting and systems-thinking mindset, • Experience with Azure services (Container Apps, ACR, Key Vault, Managed Identities, VNets), • Experience with GCP services (Cloud Run, GKE, Vertex AI, IAM, Secret Manager), • Familiarity with workflow orchestration tools (e.g., Prefect), • Exposure to AI/agent frameworks (e.g., LangChain, MCP), • Experience with observability tools (e.g., MLflow, Langfuse), • Experience with data tools such as dbt or Snowflake, • Familiarity with multi-cloud environments

We're a small, dedicated, mission-driven team and we intend to stay that way. We believe the best work happens when exceptionally talented people are given ownership, trust and the space to operate without bureaucratic friction. We work with urgency and intellectual honesty and expect new team members to match our velocity. We seek individuals who thrive at the frontier, who push beyond conventional limits, who bring curiosity and conviction in equal measure, and who want their work to have demonstrable impact in the world. If you're energized by the idea of a small team doing things that feel impossible, let’s build together. ABOUT THE ROLE As a member of the AI/ML engineering team, you'll directly shape the core simulation systems powering critical predictions for global enterprises. The AI/ML team owns the accuracy and intelligence of company's simulation engine — from synthetic population generation to response estimation. You'll work on designing, training, and evaluating the models that allow us to simulate human behavior with near-perfect fidelity, collaborating closely with research, infrastructure, and product teams. RESPONSIBILITIES • Design and implement training environments for language models used in simulation, • Build focused, high-quality evaluation frameworks for domain-specific prediction tasks, • Integrate classical ML approaches with deep learning architectures to improve simulation accuracy, • Develop and iterate on the core modules that power population-level predictions, • Create and train new models — and finetune existing ones — for accurate simulation of human decision-making across question types, • You have deep expertise in ML and AI, with meaningful prior work using Large Language Models in production systems, • You've designed and run rigorous ML experiments, moving from hypothesis to evaluation to deployment, • You have 3+ years of hands-on experience building ML/AI systems (research or applied), • You're comfortable working across the full model lifecycle: data collection, training, evaluation, and production integration, • You have experience working cross-functionally with engineering and product teams to ship ML-powered features, • Have publications at top ML venues (NeurIPS, ICML, ICLR, ACL), • Have experience building or fine-tuning multi-agent systems, • Have worked on probabilistic modeling, Bayesian inference, or causal reasoning This role is based in New York City. This is an in-person company and during this exciting period of hypergrowth, we work 6 days a week in office. Candidates are expected to be located within the New York City metropolitan area or open to relocation. BENEFITS We take care of our people. In addition to a competitive base salary and equity participation, we offer comprehensive medical, vision, and dental coverage, visa sponsorship and relocation support, and various other benefits and perks.

Long-Term Contract Opportunity | Desktop / Endpoint Engineering – AI Enablement | NYC (Hybrid) A leading alternative investment firm is seeking a hands-on Desktop/Endpoint Engineer with a strong engineering mindset and genuine interest in AI technologies. Important: this is a true Desktop Engineering / Endpoint Engineering role — not a helpdesk or desktop support position. The team is specifically looking for candidates with recent experience building, packaging, automating, deploying, and engineering enterprise endpoint environments at scale. What they’re looking for: • 6–8+ years of recent Desktop Engineering / Endpoint Engineering experience, • Strong background with Intune, SCCM/MECM, Entra ID, M365, Azure Virtual Desktop/Windows 365, • Experience with application packaging, imaging, deployment automation, GPO, PowerShell, VDI (Citrix/AVD), and endpoint compliance, • Experience supporting MDM/MAM controls and modern endpoint environments across Windows and Mac, • Ability to work cross-functionally with infrastructure, security, and AI teams around deployment and governance of AI applications/tools, • Understanding of AI-related endpoint requirements including WSL, Hyper-V, compute/resource considerations, and troubleshooting AI applications at the endpoint layer This is an engineering-heavy environment focused on automation, deployment strategy, endpoint architecture, and modern device management — not ticket queue support. Example of the environment: The team may decide to roll out a tool like Grammarly, Copilot, ChatGPT Enterprise, or another AI application. This engineer would own the packaging, testing, approvals, deployment strategy, endpoint compatibility, and ongoing support from an engineering perspective. This is a highly visible, long-term contract opportunity with strong potential for conversion down the line. Hybrid schedule: 4 days onsite in NYC.

🚀 Agentic AI Engineer🚀 ✨Series A Fintech Start-Up ✨ 💎Equity you WILL realise💎 📍 Manhattan, New York 💸 $200k - $300k depending on level 🧩 $160k equity vested over 4 years 🚨 This is a career-defining role 🚨 This role sits inside one of the fastest-growing Series A Fintech start-ups, building production-grade agentic systems for complex, high-stakes enterprise workflows. The business has scaled at exceptional speed, closed a record-breaking Series A at the end of last year, and is now focused on building an elite engineering team to own the core AI infrastructure end-to-end. 💪 The Environment • Exceptional, high-performing teams, • Engineers work directly with founders daily, • No layers, no slow approvals, no hand-offs The intensity is deliberate. The aim is compression: • Faster learning curves, • Faster iteration cycles, • Faster ownership and decision-making 🧩 What You’ll Actually Be Building You will own and drive large portions of the AI agent infrastructure, from design through to production deployment. • Designing and deploying multi-agent systems, • Building and integrating RAG pipelines, • Creating evaluation frameworks (evals) to measure accuracy, reliability, and safety, • Shipping AI-powered features used by real enterprise customers, • Building backend services and APIs (Python, Django / FastAPI preferred), • Working across the stack — APIs, databases, infrastructure, and deployment pipelines, • Ensuring systems are scalable, performant, and secure in production 🧠 Who This Is For You’ll likely have: • Foundational software engineering experience, • Hands-on experience designing and deploying AI systems into production, end-to-end, • Strong backend engineering skills (Python), • Experience with relational databases, Redis, task queues, and background workers, • Familiarity with Docker, Kubernetes, and modern cloud infrastructure, • Experience with RAG, agent orchestration, and LLM evaluation techniques, • A high tolerance for ambiguity and shifting priorities 🏆 Why Exceptional People Say Yes Top engineers don’t optimise for comfort — they optimise for trajectory. • Talent density permanently raises their bar, • Founder access is direct and unfiltered, • One year of learning feels like several elsewhere, • The experience compounds long after they leave Then this is one of the most compelling Applied AI Engineering opportunities globally right now. #AIjobs #AIhiring #startup

Company Description Sargasso Capital Management is a New York-based constructivist hedge fund. We take concentrated positions in small and mid-cap public companies and engage management to close the gap between AI ambition and AI implementation. 58% of public companies claim an AI strategy. Fewer than 1% describe deployment as mature. That gap is our thesis. We pair a proprietary AI Maturity Index with a six-step deployment playbook to move portfolio companies from pilot to production. Role Description We are hiring our first engineer. The role is full-time, on-site in New York, reporting to the CIO. You will build the tooling that powers our research and engagement work. That includes the data infrastructure behind our AI Maturity Index, the screening pipeline that surfaces portfolio candidates, internal tools that compound the firm's research throughput, and prototypes we bring into conversations with management teams and boards. This is a founding technical hire. You will own the stack end to end and shape what we build next. Qualifications • 5 to 10 years of engineering experience, ideally at mission-driven technology companies known for technical rigor, high ownership, and shipping hard infrastructure in demanding domains such as defense, aerospace, fintech, or large-scale data platforms., • Degree in Computer Science, Mathematics, or Engineering from a strong undergraduate or graduate program., • Fluent in Python. Comfortable shipping production code, not just notebooks., • Hands-on experience with LLM integration, retrieval systems, and evaluation., • Comfortable building data pipelines and APIs across messy, unstructured sources., • Working knowledge of cloud infrastructure on AWS, GCP, or Azure., • Genuine interest in public equity markets and how an investment firm operates., • Bias toward owning problems end to end.

We're a small, dedicated, mission-driven team and we intend to stay that way. We believe the best work happens when exceptionally talented people are given ownership, trust and the space to operate without bureaucratic friction. We work with urgency and intellectual honesty and expect new team members to match our velocity. We seek individuals who thrive at the frontier, who push beyond conventional limits, who bring curiosity and conviction in equal measure, and who want their work to have demonstrable impact in the world. If you're energized by the idea of a small team doing things that feel impossible, let’s build together. ABOUT THE ROLE As a member of the AI/ML engineering team, you'll directly shape the core simulation systems powering critical predictions for global enterprises. The AI/ML team owns the accuracy and intelligence of company's simulation engine — from synthetic population generation to response estimation. You'll work on designing, training, and evaluating the models that allow us to simulate human behavior with near-perfect fidelity, collaborating closely with research, infrastructure, and product teams. RESPONSIBILITIES • Design and implement training environments for language models used in simulation, • Build focused, high-quality evaluation frameworks for domain-specific prediction tasks, • Integrate classical ML approaches with deep learning architectures to improve simulation accuracy, • Develop and iterate on the core modules that power population-level predictions, • Create and train new models — and finetune existing ones — for accurate simulation of human decision-making across question types, • You have deep expertise in ML and AI, with meaningful prior work using Large Language Models in production systems, • You've designed and run rigorous ML experiments, moving from hypothesis to evaluation to deployment, • You have 3+ years of hands-on experience building ML/AI systems (research or applied), • You're comfortable working across the full model lifecycle: data collection, training, evaluation, and production integration, • You have experience working cross-functionally with engineering and product teams to ship ML-powered features, • Have publications at top ML venues (NeurIPS, ICML, ICLR, ACL), • Have experience building or fine-tuning multi-agent systems, • Have worked on probabilistic modeling, Bayesian inference, or causal reasoning This role is based in New York City. This is an in-person company and during this exciting period of hypergrowth, we work 6 days a week in office. Candidates are expected to be located within the New York City metropolitan area or open to relocation. BENEFITS We take care of our people. In addition to a competitive base salary and equity participation, we offer comprehensive medical, vision, and dental coverage, visa sponsorship and relocation support, and various other benefits and perks.

Role: Java Full Stack Engineer Location: Jersey City, NJ Job Type: Full Time • Experience as a Full Stack Developer using Java (JDK 17+), Spring Framework, and open source technologies to build enterprise grade applications, • Considerable experience building microservices using RESTful APIs, Spring Boot, Spring Security, OAuth2, and JWT, with a focus on scalability, security, and resiliency, • Validated experience designing and developing Enterprise driven architectures using Kafka, AWS SNS/SQS, or equivalent messaging platforms for high throughput, low latency systems, • DevOps/CI/CD + Observability - GitLab or Jenkins and observability/monitoring tooling (Prometheus, Grafana, ELK, etc.), • Other highly valued skills may include:, • Experience working with React or Angular, with an understanding of full stack design and UI to API integration patterns, • Experience in the Financial Services domain, with understanding of Credit Cards, Consumer Lending, and Risk & Control considerations, • Practical exposure to Generative AI and/or Agentic AI, including integrating LLM based capabilities into applications or engineering workflows (e.g. intelligent services, automation, POCs or production use cases), • Preferred Hands-on experience with AWS (EC2, S3, RDS, Lambda, API Gateway, ECS/EKS, Glue etc.) and containerization using Docker/Kubernetes, along with ample engineering practices including CI/CD Life at Capgemini: Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: • Flexible work, • Healthcare including dental, vision, mental health, and well-being programs, • Financial well-being programs such as 401(k) and Employee Share Ownership Plan, • Paid time off and paid holidays, • Paid parental leave, • Family building benefits like adoption assistance, surrogacy, and cryopreservation, • Social well-being benefits like subsidized back-up child/elder care and tutoring, • Mentoring, coaching and learning programs, • Employee Resource Groups, • Disaster Relief Disclaimer: Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please get in touch with your recruiting contact. Click the following link for more information on your rights as an Applicant

Product Engineer Location: New York, NY (Onsite) Employment Type: Full-time Compensation: Starting at $200,000+ We are looking for a Product Engineer to help define and build the core product for an early-stage team developing intelligent, agent-powered systems. This role is ideal for someone who enjoys owning features end to end, working closely with customers, and making strong product and technical decisions in ambiguous environments. You will operate across the full stack, collaborating closely with design and product partners while remaining deeply hands-on in implementation. The work is highly visible and impactful, with real ownership over how the product evolves. Key Responsibilities • Design and ship end-to-end product features across backend services and frontend interfaces, • Own feature delivery from initial concept through implementation, testing, and launch, • Work directly with customers to gather feedback and refine product direction, • Collaborate closely with design to improve frontend polish and define interaction patterns, • Take ambiguous problems and break them into clear milestones and deliverables, • Balance speed and quality while building scalable, maintainable systems, • Contribute to product and technical decisions through hands-on individual contributor work Qualifications • 4+ years of professional software engineering experience in full stack roles, • Proven experience delivering projects end to end in startup or early-stage environments, • Strong proficiency with TypeScript, React, PostgreSQL, and backend application frameworks, • Comfort working cross-functionally with product, design, engineering, and go-to-market teams, • Strong product intuition, with a history of building features that resonate with users, • Ability to operate with ambiguity and drive outcomes through ownership and execution Nice to Have • Experience building or integrating agent-based or AI-powered products, • Background in developer tools, infrastructure, or observability platforms Compensation & Perks • Base salary starting at $200,000+, • Equity participation, • Onsite work environment in New York City, • High-ownership role with direct influence on product direction

Our team of senior professionals delivers a wide array of strategic advisory, shareholder advisory, restructuring and special situations and private fund advisory and placement services to corporations, financial sponsors, institutional investors and governments around the world. We offer a unique portfolio of advisory services designed to help our clients achieve their strategic objectives. We also provid private fund advisory and fundraising services for alternative investment managers, including private equity funds, real estate funds and hedge funds. From the beginning, our client firmly believed that having the best people is key to building an enduring franchise. Our perspective was, and remains, that a great team brings in both top tier clients and appeals to a wide range of diverse, talented colleagues. Fostering an inclusive culture, which welcomes differing perspectives and beliefs, enables us to provide the best advice and insights to our clients. Responsibilities Our client’s technology team is responsible for creating and continuously improving a robust and secure technology foundation that supports the firm’s business activities. Their technology team is seeking a Data and AI Infrastructure Engineer to build secure, scalable platforms and pipelines that power the firm’s AI initiatives. This is a platform engineering role — the focus is building the infrastructure and developer tooling that enables teams to rapidly develop and deploy AI-powered Python applications using Azure AI Foundry and the Claude API (Anthropic), not training custom models. You will work with data engineers, application developers, architects, and business stakeholders to deliver AI-ready infrastructure that meets the firm’s security and compliance requirements. Responsibilities include: AI Platform & Developer Infrastructure • Design, build, and operate the firm’s AI platform, enabling developers to build and deploy Python-based AI applications;, • Implement and manage Azure AI Foundry environments: model deployments, AI hubs, project workspaces, and access controls;, • Integrate and operationalize third-party AI APIs (Anthropic Claude API, Azure OpenAI) with secure access patterns, API gateway controls, rate limiting, and cost monitoring;, • Build internal developer tooling and SDK scaffolding to accelerate AI application development across the firm. Data Infrastructure & Pipelines • Build and maintain data pipelines using Azure Data Factory and Azure Databricks to serve AI application data needs;, • Implement vector search and document retrieval infrastructure (Azure AI Search) to support RAG-based applications;, • Manage structured and unstructured data stores including Azure Data Lake, Azure SQL, and Cosmos DB. Cloud Infrastructure & DevOps • Provision and maintain secure, scalable infrastructure on Azure (primary) and AWS using Infrastructure-as-Code (Terraform or Bicep);, • Build and maintain CI/CD pipelines for AI application deployment via Azure DevOps or GitHub Actions;, • Manage containerized workloads using Docker and Kubernetes (AKS) for AI application hosting and API services;, • Drive Secure DevOps practices including secrets management, dependency scanning, and policy enforcement. Security, Governance & Compliance • Implement data access controls, encryption, and audit logging aligned with SEC and FINRA requirements;, • Design MNPI data segregation controls and enforce AI governance guardrails including content filtering and usage logging for all AI API integrations;, • Manage identity and access for AI platforms using Azure Entra ID, RBAC, and managed identities;, • Collaborate with Compliance and Legal to ensure AI usage policies are enforced at the infrastructure level. Collaboration & Documentation • Produce architecture designs, runbooks, and technical documentation for all platform components;, • Support application developers building AI-powered applications with platform guidance and troubleshooting;, • Partner with solution architects, data engineers, and business stakeholders to translate requirements into infrastructure. Qualifications Our client seeks to hire individuals who are highly motivated, intelligent and have demonstrated excellence in prior endeavors. In addition, qualified candidates will possess the following: • Bachelor’s degree in computer science, Computer Engineering, or related field (Master’s degree is a plus);, • 8+ years in infrastructure engineering, cloud platform engineering, or data engineering;, • Demonstrated experience building shared platforms or developer services in an enterprise environment;, • Azure expertise: Azure AI Foundry, Azure Data Factory, Azure Databricks, AKS, Azure API Management, Azure Key Vault, Azure Entra ID;, • Strong Python skills: backend services, REST APIs (FastAPI or Flask), and automation scripting; PowerShell for infrastructure tasks;, • Infrastructure-as-Code: Terraform and/or Bicep; container orchestration with Docker and Kubernetes;, • Experience integrating LLM APIs (Anthropic Claude, Azure OpenAI) in production including token cost management and observability;, • RAG pipeline experience: vector search (Azure AI Search or pgvector), document processing, and retrieval patterns;, • Familiarity with LLM application frameworks such as LangChain or Semantic Kernel;, • Cloud security fundamentals: RBAC, managed identities, private endpoints, Key Vault, and network segmentation;, • DevSecOps practices: secrets management, SAST tooling, and secure CI/CD pipeline design;, • Familiarity with AWS (Bedrock, S3, IAM) and agentic application frameworks (AutoGen, LangGraph);, • Experience with Microsoft Fabric, Databricks Unity Catalog, or Azure Synapse;, • Azure certifications: AI-102, DP-203, or AZ-305;, • Prior experience in investment banking or regulated financial services environments.

SailPoint is the leading, AI-driven security platform providing the autonomous governance that best solves the needs of the modern enterprise. By harnessing the power of AI and machine learning, SailPoint automates and streamlines the complexity of delivering the right access to the right identities and technology resources at the right time. Delivered at the scale our enterprise customers demand. We are proud of our team and the culture we have built, which has led to our employees voting us “best places to work” – 15 years in a row. The role: SailPoint is seeking an Advisory Solution Consultant (pre-sales Solution Engineer) to support the US Northeast sales regions for Strategic accounts. You will partner with our sales teams by applying your technical abilities and business acumen in support of SailPoint’s growth objectives. Responsibilities: • Actively participate in the sales process and work closely with the direct and channel sales teams, • Discover and understand customer requirements and align our solutions to those requirements, • Present SailPoint business functions, value, and competitive differences, • Provide product demonstrations to prospective customers, • Assist in developing RFP responses in coordination with our RFP response team, • Participate in onsite and remote Proof of Value (POV) evaluations, • Provide feedback to Product Management on product enhancements Requirements: • 5+ years of professional experience as a pre-sales technical resource in an enterprise software company (B2B), • Excellent written and verbal communication skills, • A working knowledge of technical infrastructure, including web services, application servers, databases, virtualization, and directories is required, • Conversant in modern SaaS architecture and familiarity with IaaS platforms such as Azure/AWS/GCP, • Experience with APIs and API tools such as Postman, Agentic AI technology such as Amazon Bedrock AgentCore, Google Vertex, Azure Foundry, Salesforce Agentforce, etc., LLMs, MCP, RAG, Java, XML, LDAP, SQL, and JSON is desirable, • 3+ years working with Identity, Governance, and Access Management solutions is preferred Path to Success: Within the first 4 months, you will: • Learn the Identity Security and Identity Management space, • Participate in demo best practices training, presentation skills training, negotiation,, • Handle initial demos and discussions in IGA, • Attend Revenue Onboarding for a deep dive into Challenger Sales training, • Hone technical discovery skills through SE Scrum groups, • Pitch to Account Executives (AEs) to master messaging and build relationships, • Navigate internal relationships with Customer Success Managers, Product Management, Professional Services, and Partners, • Coordinate with AEs before and after client calls, tying what is presented back to business value Within 6 months to 1 year, you will: • Contribute to building new technical collateral for organization-wide use, • Grow familiarity with IT audit functions, regulatory frameworks, SOX, HIPAA, NERC-CIP, GDPR, and CCPA, • Speak at national or regional conferences and meetups, • Proactively network and build your own personal brand, • Articulate the business value of SailPoint as a strategic sale, • Communicate at the business level with clients outside of IT, such as HR, Finance, risk management, counsel, and lines of business, • Be fluent in the language of Identity Security Location: • Residence in any Northeast state is required., • We anticipate 25% travel and flexibility to travel within the US (primarily in the Northeast states) will be necessary. Education: • BA/BS or global equivalent, • 8 years of related experience Benefits and Compensation listed vary based on the location of your employment and the nature of your employment with SailPoint. As a part of the total compensation package, this role may be eligible for the SailPoint Corporate Bonus Plan or a role-specific commission, along with potential eligibility for equity participation. SailPoint maintains broad salary ranges for its roles to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect SailPoint’s differing products, industries, and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. We estimate the base salary, for US-based employees, will be in this range from (min-mid-max, USD): $116,900 - $197,083.60 Base salaries for employees based in other locations are competitive for the employee’s home location. Benefits Overview 1. Health and wellness coverage: Medical, dental, and vision insurance, 2. Disability coverage: Short-term and long-term disability, 3. Life protection: Life insurance and Accidental Death & Dismemberment (AD&D), 4. Additional life coverage options: Supplemental life insurance for employees, spouses, and children, 5. Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account, 6. Financial security: 401(k) Savings and Investment Plan with company matching, 7. Time off benefits: Flexible vacation policy, 8. Holidays: 8 paid holidays annually, 9. Sick leave, 10. Parental support: Paid parental leave, 11. Employee Assistance Program (EAP) and Care Counselors, 12. Voluntary benefits: Legal Assistance, Critical Illness, Accident, Hospital Indemnity and Pet Insurance options, 13. Health Savings Account (HSA) with employer contribution SailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable law. Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact or mail to 11120 Four Points Dr, Suite 100, Austin, TX 78726, to discuss reasonable accommodations. NOTE: Any unsolicited resumes sent by candidates or agencies to this email will not be considered for current openings at SailPoint.

Title: Lead Data Engineer with FactSet benchmark/ State Street benchmark data Experience Location: NYC, NY Duration: 12-24+ Months Desired Candidate Profile • Expert understanding of financial benchmark data across major index providers., • Strong understanding of Master Data Management (MDM) concepts — ideally in financial services, but strong MDM experience in any industry will be considered., • Strong understanding of relational database technologies across multiple platforms., • Strong understanding of object-oriented programming and service-oriented design., • Well-versed with back-end application development using Python., • Web application support mindset — not necessarily a React front-end developer, but someone who understands how a front end talks to a back end, can troubleshoot typical web app error codes, read logs, and reason about microservices and performance., • Works effectively both as a contributing team member and independently., • Strong verbal and written communication skills., • 10+ years development experience with a fast-paced programming mentality and quick solution turnaround., • Expertise in SQL across multiple relational databases (Snowflake, Sybase, SQL Server, Oracle)., • Expertise in Master Data Management implementation in modern data platforms such as Snowflake., • Proficient with object-oriented development and backend components using Python., • Proficient in ETL and ELT concepts and techniques., • Experience supporting microservices web applications hosted on Azure Kubernetes Service (AKS)., • Experience in DevOps: GitLab CI/CD pipelines (both YAML and UI based)., • Knowledge of best practices for code quality, testing, and performance optimization., • Experience using API protocols such as REST and GraphQL., • Experience with Azure cloud architecture (strongly preferred; AWS/GCP-only candidates will find this role challenging)., • Experience with DBT (Data Build Tool)., • Strong understanding of AI / ML concepts and implementations; exposure to AI coding tools such as Claude Code or GitHub Copilot., • Experience with Jira, full-stack web app support, and agile frameworks., • Experience with Linux and shell scripting.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research and resources that serve all of our enterprise clients. As an ML Sys Research Engineer, you'll work on building out the algorithms for our next-gen Agent RL training platform, support large scale training, and research and integrate state-of-the-art technologies to optimize our ML system. Your customer will be other MLREs and AAIs on the Enterprise AI team who are taking the training algorithms and applying them to client use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: • Build, profile and optimize our training and inference framework., • Post-train state of the art models, developed both internally and from the community, to define stable post-training recipes for our enterprise engagements., • Collaborate with ML teams to accelerate their research and development, and enable them to develop the next generation of models and data curation.., • At least 1-3 years of LLM training in a production environment, • Passionate about system optimization, • Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc., • Ability to demonstrate know-how on how to operate the architecture of the modern GPU cluster, • Experience with multi-node LLM training and inference, • Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc., • Strong written and verbal communication skills to operate in a cross functional team environment. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer. We are looking for an experienced software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. Responsibilities: * Design, develop, and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc. * Develop and maintain backend services using Python, focusing on AI-driven applications. * Design and implement APIs for seamless integration with AI models and services. * Collaborate with product managers, engineers, and other stakeholders as a specialist and subject matter expert in machine learning. * Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment. * Participate in code reviews, testing, and quality assurance processes. * Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services. * Implement system telemetry, A/B testing and other statistical methods to validate the effectiveness of AI models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes. * Document and communicate development processes, system designs, and architectural decisions. * Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field. * Minimum 6+ years of experience in industry with a strong focus on ML solutions development and production deployment. * Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development. * Strong proficiency in Python and familiarity with ML libraries such as PyTorch. * Statistical Machine Learning and Artificial Intelligence in the context of NLP, Speech, RAG, Virtual Agents, and/or Document Processing technologies * Familiarity with cloud platforms such as AWS or Azure. * Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Experience developing and fine-tuning prompts on any of the GenAI services * Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. * Passion for customer, innovation, product quality, service excellence, and test engineering * The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment. * Experience working with microservices/an API-based application paradigm. * Good written communication skills that enable collaboration in a remote environment. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$142,800—$225,000 USDNew York, NY Salary Range$180,400—$225,000 USDDenver, CO Salary Range$165,600—$207,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the primary technical point of contact for strategic enterprise accounts, • Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Provide technical training and knowledge transfer to customer teams, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 4+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

As a Software Engineer on the Machine Learning Infrastructure team, you will build the "Operating System" for our large-scale GPU clusters. You will architect a high-performance training platform that handles the immense complexity of multi-thousand GPU workloads, ensuring every cycle is used efficiently. Your work directly determines the velocity at which our researchers can train and iterate on the world's most advanced models. The ideal candidate is a systems expert who thrives on solving the orchestration, networking, and reliability challenges that emerge at massive scale. You will partner closely with researchers to build a seamless, resilient environment that transforms raw compute into breakthrough AI. • Architect and scale a multi-tenant orchestration layer that abstracts away the complexity of GPU clusters, ensuring high utilization and seamless job recovery., • Design and implement scheduling primitives to optimize the lifecycle of training jobs., • Develop deep observability and automated health-checking into the training stack to proactively identify and isolate hardware failures, • Evaluate and integrate emerging technologies in the CNCF and AI ecosystem (e.g. Ray, Kueue), making data-driven build vs. buy decisions that balance velocity with long-term maintainability., • Work closely with Finance and Procurement teams to drive our capacity planning process., • Participate in our team's on call process to ensure the availability of our services., • Own projects end-to-end, from requirements, scoping, design, to implementation, in a highly collaborative and cross-functional environment., • 5+ years of experience in backend or infrastructure engineering, with at least 2 years focused on orchestrating ML workloads at scale (100+ GPU nodes)., • Strong programming skills in one or more languages (e.g. Python, Go, Rust, C++), • Experience with complex compute management systems that cover queueing, quotas, preemption, and gang scheduling., • Experience with distributed training infrastructure, such as EFA, Infiniband, and topology-aware scheduling., • Experience with distributed storage systems (e.g. Lustre, S3) as they relate to training throughput, • Expert-level knowledge of Kubernetes internals (Custom Resources, Operators, Admission Controllers) and how they interact with device plugins for specialized hardware., • Familiarity with cloud infrastructure (AWS, GCP) and infrastructure as code (e.g., Terraform)., • Proven ability to solve complex problems and work independently in fast-moving environments., • Experience with distributed training techniques such as DeepSpeed, FSDP, etc., • Experience with the NVIDIA software and hardware stack (CUDA, NCCL), • Experience with PyTorch About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

We are seeking a Senior Security Engineer with a specialty in Detection and Incident Response to join our Security Engineering team. This role sits at the intersection of security operations and software engineering - you won't just investigate incidents, you'll build the systems that detect, contain, and prevent them. You will design and ship high-precision detections across cloud services and enterprise SaaS, develop automation that shortens response timelines, and mature the telemetry pipelines that make it all possible. Your ability to write production-quality code is just as important as your ability to triage an alert. You will structure investigations, analyze root causes, and clearly communicate the significance of security incidents, their impact, and recommended remediation steps - but you'll also turn those findings into durable engineering improvements: better detections, tighter schemas, and smarter automation. • Engineer, test, and deploy detection logic across cloud and enterprise environments, treating detections as software with version control, peer review, and measurable performance., • Build and maintain incident response automation, runbooks, and tooling that reduce containment timelines without sacrificing developer velocity., • Mature telemetry pipelines through improved schema design, normalization, enrichment, and quality checks that reduce false positives and increase signal fidelity., • Perform digital incident investigations to identify and contain potential security breaches., • Conduct digital forensics and malware analysis to understand attack vectors and adversary methodologies., • Integrate alerting with messaging and ticketing systems to enable fast, traceable response workflows., • Partner cross-functionally with IT, security, and engineering teams to harden identity and access patterns, close logging and forensics gaps, and implement maintainable guardrails that scale with the organization., • Utilize threat intelligence platforms to improve hunting, detection, and response workflows., • Clearly explain the significance and impact of incidents, providing actionable recommendations to both technical and non-technical stakeholders., • 5+ years of experience in Detection Engineering, Incident Response, or Security Operations, with a strong emphasis on building and shipping security tooling and automation., • Proficiency in at least one programming language (e.g., Python, Go) and comfort writing production-grade code - not just scripts., • Hands-on experience designing or improving detection pipelines, SIEM content, and alerting workflows in cloud-native environments., • Practical experience with SIEM, EDR, and SOAR tools, with a preference for candidates who have built integrations or extended these platforms programmatically., • Strong understanding of modern cyber threats, common attack techniques, and adversary TTPs., • Familiarity with digital forensics tools and malware analysis techniques., • Experience with cloud-native environments (e.g., AWS, GCP, Azure) and the security telemetry those environments generate., • Exposure to threat intelligence platforms and integrating intel into detection and investigation workflows., • Strong communication skills, with the ability to translate complex security findings into clear business impact. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Masters or Bachelors in Computer Science, Software Engineering or similar is ideal.

Outlier helps the world’s most innovative companies improve their AI agents by providing human feedback.We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents.Our projects focus on teaching these systems how to design, coordin

We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Proven ability to build and maintain production-grade software with modular separation (e. AI automation, or complex systems integration.