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Job DescriptionAI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering., • Develop and orchestrate multi-agent systems using LangGraph and LangChain., • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock., • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference., • Develop and maintain REST APIs and SDK integrations., • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions., • Follow modern secure coding, DevOps, and CI/CD practices., • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.Required Skills & Qualifications, • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations., • Hands-on production experience with LLMs, RAG, and prompt engineering., • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain., • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock., • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies., • Strong understanding of secure coding and CI/CD practices., • Excellent written and verbal communication skills.Preferred Qualifications, • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise., • Knowledge of MCP, metadata catalog platforms, and advanced API development., • Experience working in government, regulated, or security-sensitive cloud environments., • Familiarity with relevant compliance and security standards.

Job DescriptionAI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering., • Develop and orchestrate multi-agent systems using LangGraph and LangChain., • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock., • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference., • Develop and maintain REST APIs and SDK integrations., • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions., • Follow modern secure coding, DevOps, and CI/CD practices., • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.Required Skills & Qualifications, • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations., • Hands-on production experience with LLMs, RAG, and prompt engineering., • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain., • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock., • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies., • Strong understanding of secure coding and CI/CD practices., • Excellent written and verbal communication skills.Preferred Qualifications, • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise., • Knowledge of MCP, metadata catalog platforms, and advanced API development., • Experience working in government, regulated, or security-sensitive cloud environments., • Familiarity with relevant compliance and security standards.

Job Description Company Overview: One Park Financial (OPF) is a leading Financial Technology company dedicated to empowering small businesses by connecting them with a wide variety of flexible financing and funding options. Our mission is to provide entrepreneurs with the working capital they need to elevate their businesses to new heights. At OPF, we believe in working with high-performing individuals who are ready to play an integral part in our company's expansion. We know that our success hinges on our people, and we strive to enable them to do what they do best. Why Join Us? At OPF, we foster a dynamic and inclusive company culture that emphasizes collaboration, innovation, and personal growth. Our team is composed of passionate, driven individuals who are committed to making a difference. Here's what you can expect when you join our team: • Innovative Environment: Work with cutting-edge technology and be part of a team that is constantly pushing the boundaries of fintech., • Professional Growth: We invest in our employees' growth with continuous learning opportunities, training programs, and career advancement paths., • Supportive Culture: Enjoy a supportive and inclusive work environment where your ideas are valued, and your contributions make a real impact., • Community Focus: Be part of a company that understands the importance of small and mid-sized businesses to their communities and the nation's financial health., • High-Performing Team: Join a team of badasses who are committed to excellence and are integral to our company's expansion and success. About the Role We are looking for a seasoned Senior Data Scientist to join our Analytics team to enable core business transformation. This role is about building and pressure-testing the models and proposals that drive how we price, approve, and grow, and doing it with the statistical and analytical rigor to prove they work before they ship. You will own a production system end to end, helping operate and evolve our proprietary risk-based pricing engine, the application that powers our real-time offer decisioning. You will work closely with business stakeholders to understand problems and propose & implement AI/ML solutions, and you will partner with DevOps, Product, and Engineering to take models from notebook to production. You will lead the charge in A/B testing within the organization and design experiments to prove success. You will perform EDA, identify modeling opportunities, feature engineer & ETL data, implement models and their monitoring, and highlight opportunities for change. We are an AI-forward company, and we expect our data scientists to work that way. We want someone who leans on modern AI and LLM tooling to make their own analysis, modeling, and experimentation faster and sharper, not someone who does things the slow, manual way. We want to work with high-performing badasses who will play an integral part in our transformation of the company. We understand one thing: it all comes down to working with creative & committed people and enabling them to do what they do best. Responsibilities • Utilize advanced statistical and machine learning techniques to analyze large datasets and build new AI/ML models., • Develop and pressure-test pricing and credit proposals end to end, with the statistical and analytical rigor to prove they will work before they ship. These won't always be models; sometimes the answer is a well-tested policy change., • Conduct exploratory data analysis, feature engineering, and data preprocessing to solve business problems., • Own, operate, and enhance our proprietary risk-based pricing engine (a production Python application), including its models, business logic, deployment, and monitoring., • Facilitate the deployment and monitoring of models for real-time and batch processing., • Own strong model governance: clear documentation and versioning, ongoing monitoring for drift and degradation, regular validation, and a defensible audit trail across the model lifecycle., • Partner with DevOps, Product, and Engineering teams to ship models and features to production, owning the rollout from staging to production, including CI/CD, monitoring, and rollback., • Perform model evaluation and validation on a regular basis to ensure robust performance., • Engineer A/B tests with scientific rigor. Gather test data and validate results to present to business stakeholders., • Use modern AI and LLM tooling to speed up your own work, from EDA and feature engineering to model prototyping, documentation, and testing., • Champion creative uses of existing data to solve business problems with intellectual curiosity., • Produce statistical and data analysis visuals (charts, infographics) to communicate findings clearly and effectively to a non-technical audience., • Collaborate with team members, product managers, and business stakeholders to identify opportunities for new and innovative AI/ML solutions., • Analysis areas could include Onboarding Credit, Ongoing Credit, Marketing segmentation, Voice-based analysis, Text mining, Sentiment analysis, Risk quantification, and Risk-based pricing. Requirements • 4-7 years of experience in Data Science and the Financial Industry, preferably in Credit or Lending., • Master's degree in mathematics, statistics, computer science, or data science., • Experience in transforming existing processes with AI/ML-based approaches., • Proficiency in data manipulation. Excellent SQL and Python skills for data wrangling and ETL., • Hands-on AWS / cloud experience deploying and operating production ML services (compute, storage, IAM, containerized deployment)., • Experience building or maintaining production applications and services, not just models in notebooks. You should be comfortable owning software in production., • Experience with dashboard tools such as PowerBI or other visualization tools., • Experience building credit or risk models for Financial Services, Lending, or Insurance., • Experience in validating models to identify ongoing improvements., • Rock Solid data science skillset: Exploratory Data Analysis, Feature Engineering, Fitting, Tuning, and Comparing models, and managing the model Lifecycle., • Experience with statistical modeling and data analysis using programming languages such as Python., • Experience in ML engineering, cloud-based deployment, and machine learning model lifecycle management., • Knowledge of best practices for financial and lending models (model risk management, model governance, and fair-lending considerations) is a big plus., • Comfort using modern AI and LLM tools to make your own analysis and modeling more efficient (a plus)., • Experience with dbt (major plus). Benefits • Competitive salary, • Local & National Health Insurance, • Dental and Vision insurance, • Group Medical Bridge, • 401k with Match, • ID Protection: 100% covered by the company, • Life Insurance: 100% covered by the company, • Generous PTO and holidays, • Growth and development opportunities, • Dynamic and collaborative work environment, • Company events and team-building activities

About Mercor’s talent network Join our Machine Learning Engineer Expert Network to connect with leading AI labs and companies seeking your expertise. About Mercor projects Experts in our network contribute to: - Training and evaluating AI models in Machine Learning Engineering - Creating tasks

Position Summary Google AI Architect/AI and EngineeringJoin our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You’ll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models—traditional teams, pools, or pods—are tailored to each client’s needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.Recruiting for this role ends on 10-31-2026Work you’ll do:Architect and deliver enterprise AI platforms and applications on Google Cloud using Vertex AI and Gemini; optimize for scalability, reliability, security, and cost.Design, fine-tune, evaluate, and govern LLM solutions with Gemini on Vertex AI (prompt/tool/function calling, safety policies, Vector Search, evaluation); implement deployment, inference optimization, and monitoring.Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability.Define end-to-end architectures across data pipelines, feature engineering, model lifecycle, APIs/microservices, and CI/CD/MLOps/LLMOps with Vertex AI Pipelines and Cloud Build.Lead cloud-native development on GKE, Cloud Run, Pub/Sub, BigQuery, Cloud SQL/Spanner, Memorystore, and Terraform; enforce application and agentic design patterns.Implement security and governance for AI/ML systems (data privacy, model poisoning, adversarial attacks); apply Gemini safety features and enterprise guardrails.Responsibilities include:Architect and Design: Design and development of enterprise-grade AI applications and platforms, with a focus on scaling AI solutions for production. This includes defining the technical architecture, selecting appropriate technologies, and ensuring solutions are robust, scalable, and secure.LLM and AI Integration: Integrate and fine-tune Large Language Models (LLMs) and other AI/ML models into enterprise applications. Develop and implement strategies for model deployment, inference, and monitoring, with an emphasis on production-level performance and reliability.Enterprise Architecture: Collaborate with enterprise architects to ensure AI solutions align with the broader company's technical strategy, governance, and standards.Cloud and GenAI Native Development: Design and deploy applications using Cloud Native principles on a hyperscaler platform (AWS, Azure, GCP). Leverage a wide range of hyperscaler tools and services, including containers (Docker, Kubernetes), serverless functions, and managed databases. Should have experience in leveraging various GenAI tools to accelerate software development life cycle.Security & Governance: Ensure the security of all AI/ML systems by addressing potential vulnerabilities such as data privacy concerns, model poisoning, and adversarial attacks.Design Patterns: Apply and enforce Application Design Patterns and Agentic Design Patterns to build resilient and maintainable software systems.Required QualificationsBachelor's degree in Computer Science, Engineering or a related technical field.6+ years’ experience as a Software or Solution Architect, with a strong focus on application development and scaling solutions for production environments.5+ years hands-on with Google Cloud, including 2+ end-to-end enterprise implementations in production.4+ years designing and implementing Google Cloud networks, security controls, and landing zones using Terraform.2+ years building and operating containerized workloads on GKE (autoscaling, ingress, monitoring/observability).2+ years implementing CI/CD and DevSecOps with Cloud Build, GitHub Actions, or Jenkins.3+ years executing migration or modernization programs to Google Cloud (rehost, replatform, refactor).2+ years applying AI/GenAI on Google Cloud with Vertex AI and Gemini, including 1+ years’ production deployment (e.g. RAG with Vertex AI Search/Vector Search, prompt design, safety policies, observability).Deep understanding of AI/ML concepts, including experience with LLMs and their application in enterprise settings.Experience implementing multiple AI solutions in a professional, real-world environment.Strong understanding of security implications related to AI/ML systems (e.g., data privacy, model poisoning, adversarial attacks).Familiarity with various hyperscaler tools and services.Hyperscaler Architect certification is required (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert, or GCP Professional Cloud Architect).Ability to travel up to 50% based on the work you do and the clients and industries/sectors you serve.Limited immigration sponsorship may be available.Preferred Qualifications:Google Professional Machine Learning Engineer certification or the equivalent ML certification.Master’s degree in technology-related discipline. 2+ years’s leading high performance, results driven engineering teams delivering AI platforms or applications.1+ year implementing LLMOps/MLOps using Vertex AI Pipelines and Cloud Build (or similar)Wages + SalaryThe wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $122,000-$240,500.You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.Information for applicants with a need for accommodation: Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles’s Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers Requisition code: 362202 Job ID 362202 Engineering and Product | ArchitectureSame job available in 45 locations

We AreAccenture is a premier Google Cloud partner helping organizations modernize data ecosystems, build real-time analytics capabilities, and responsibly scale AI. As part of Accenture Cloud First and the Accenture Google Business Group (AGBG), we deliver solutions leveraging Google Cloud’s Data & AI platform—including BigQuery, Looker, Vertex AI, Gemini Foundation Models, and Gemini Enterprise.You AreA hands-on Engineer with foundational experience in Data Engineering, Analytics, or Machine Learning—now building deep expertise in Google Cloud Platform (GCP). You are eager to apply technical skills, learn advanced Data & AI patterns, and support delivery teams in designing and implementing modern data and AI solutions.You’re comfortable working directly with clients, supporting senior architects, and contributing to end-to-end project execution.The Work (What You Will Do)As a GCP Senior Data Engineer, you will help deliver data modernization, analytics, and AI solutions on GCP. You will support architecture design, build data pipelines and models, perform analysis, and contribute to technical implementations under guidance from senior team members.1. Hands-On Technical DeliveryBuild data pipelines, ETL/ELT processes, and integrations using GCP services such as: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud StorageAssist with data modeling, performance tuning, and query optimization in BigQuery.Implement data ingestion patterns for batch and streaming data sources.Support development of dashboards and analytics products using Looker or Looker Studio.2. Support Agentic AI & ML Solution DevelopmentAssist in developing ML models and AI solutions using:Vertex AI, Gemini Foundation Models, Gemini Enterprise, Model APIs & EmbeddingsImplement ML pipelines and help establish MLOps processes (monitoring, retraining, deployment).Support prompt engineering, embeddings, and retrieval-augmented generation (RAG) experimentation.Contribute to model testing, validation, and documentation.3. Requirements Gathering & Client CollaborationParticipate in client workshops to understand data needs, use cases, and technical requirements.Help translate functional requirements into technical tasks and implementation plans.Communicate progress, blockers, and insights to project leads and client stakeholders.4. Data Governance, Quality & Security SupportImplement metadata management, data quality checks, and lineage tracking using GCP tools (Dataplex, IAM).Follow best practices for security, identity management, and compliance.Support operational processes for data validation, testing, and monitoring.5. Continuous Learning & Team SupportLearn and apply GCP Data & AI best practices across architectural patterns, engineering standards, and AI frameworks.Collaborate closely with senior data engineers, ML engineers, and architects.Contribute to internal accelerators, documentation, and reusable components.Stay current with GCP releases, Gemini model updates, and modern engineering practices.Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.Here's what you needMinimum of 5 years of hands-on experience in Data Engineering, Data Analytics, ML Engineering, or related fields.Minimum of 4 years of practical experience with Google Cloud Platform.Minimum of 5 years of experience with SQL, data modeling, and building data pipelines.Minimum of 3 years of experience with Python or AI or GenAI tools (Vertex AI preferred).Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)Bonus point if you haveExperience with GCP services such as BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Storage, and Looker.Exposure to AI/ML development or experimentation with Vertex AI, Gemini models, embeddings, or RAG patterns.Hands-on experience with CI/CD, Git, or cloud-native engineering practices.Google Cloud certifications (Associate Cloud Engineer or Professional Data Engineer).Experience working in agile delivery environments.Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.We anticipate this job posting will be posted until 09/30/2026.Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:U.S. Employee Benefits | AccentureRole Location Annual Salary RangeCalifornia $94,400 to $266,300Cleveland $87,400 to $213,000Colorado $94,400 to $230,000District of Columbia $100,500 to $245,000Illinois $87,400 to $230,000Maine $80,400 to $196,000Maryland $94,400 to $230,000Massachusetts $94,400 to $245,000Minnesota $94,400 to $230,000New York $87,400 to $266,300New Jersey $100,500 to $266,300Virginia $87,400 to $245,000Washington $100,500 to $245,000About AccentureAccenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.Visit us at What We BelieveWe have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more hereRequesting An AccommodationAccenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.Equal Employment Opportunity StatementWe believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.For details, view a copy of the Accenture Equal Opportunity StatementAccenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.Accenture is committed to providing veteran employment opportunities to our service men and women.Other Employment StatementsApplicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.SummaryLocation: Albany, 69 State St, Corp; Milwaukee, 790 N Milwaukee St, Corp; Dallas, 5205 N OConnor Las Colinas, Corp; Columbus, 400 W. Nationwide Blvd, Corp; Kirkland, 416 6th Street South, Corp; Cincinnati, 4th Street, Corp; New York, One Manhattan West, Corp; Cleveland, 1400 W 10th Street, Corp; Oklahoma City, 525 NW 11th St, Corp; Austin, 323 Congress Avenue, Corp; Chicago, Accenture Tower, Corp; St. Pete, 140 Fountain Pkwy, Tampa Corp; Hartford, 280 Trumbull, Corp; Pittsburgh, 1001 Liberty Ave, Corp; St. Louis, 4220 Duncan Avenue, Corp; Miami, 777 Brickell Ave, Corp; Sacramento, 1610 R Street, Corp; Raleigh, 555 Fayetteville, Corp; Minneapolis, 333 S 7th, Corp; Mountain View, 650 Castro, Corp; Scottsdale, 15279 N Scottsdale Rd, Corp; San Francisco, 415 Mission Street, Corp; Morristown, 1 Speedwell Ave, Corp; Denver, 999 18th St, Corp; Boston, 888 Boylston, Corp; Philadelphia, 2001 Market St, Corp; Des Moines, 909 Locust, Corp; Overland Park, 7300 W 110th Street, Corp; Los Angeles, 6181 W Centinela Ave, Corp; Charlotte, 1120 S Tryon St., Corp; Walnut Creek, 1255 Treat Blvd, Corp; Carmel, 11939 N Meridian St., Corp; Seattle, 1191 2nd Avenue, Corp; Houston, 1301 Fannin, Corp; Arlington, 1201 Wilson, Corp; Atlanta, 75 Fifth, Corp; Redmond, 8383 158th Avenue NE, Corp; Bentonville, 805 S Walton Blvd., Corp; Beaverton, 15220 NW Greenbrier, Corp; Nashville, 4101 Charlotte Ave., Corp; Detroit, 1240 Woodward, Corp; San Diego, 12680 High Bluff Dr, CorpType: Full time

Position Summary Are you interested in improving the cyber and organizational risk profiles of leading companies? Do you want to build the data foundations that power the next generation of AI-enabled cyber defense?If yes, then Deloitte’s Cyber team could be the place for you.We are looking for a hands-on Data Engineer to build and operate the governed data foundations powering cyber risk, compliance evidence, and agentic AI-enabled cyber workflows. You will design production-grade pipelines and services that support risk reporting, continuous controls monitoring, and AI-assisted security operations—built with strong governance, lineage, privacy-by-design, and audit-ready evidence.This role is ideal for engineers who can bridge modern data engineering and software development with Governance, Risk, and Compliance (GRC) expectations in regulated enterprise environments.Recruiting for this role ends on 12/31/2026.Work you'll doAs a Senior Consultant, Strategy, Growth and Transformation on the Cyber team, you will be responsible for:Building scalable batch and stream processing pipelines that ingest security telemetry, control evidence, and compliance artifacts into governed data stores.Designing data models for risk and controls domains, including key risk indicators, issues and defects, risk acceptance, control testing outcomes, audit evidence, and policy exceptions, and enabling self-service analytics and dashboards.Implementing data quality checks, lineage, metadata, and access controls to support auditability, regulatory defensibility, and repeatable evidence generation.Developing AI-enabled capabilities that accelerate governance, risk, and compliance and cyber operations, including evidence summarization, control testing assist, policy question-and-answer, investigation copilots, ticket triage, and exception reasoning using agentic patterns, workflow orchestration, and retrieval-augmented generation.Engineering integrations between data platforms, governance, risk, and compliance workflows, and enterprise systems using application programming interfaces, event patterns, and connectors, with observability and runbooks for production support.Partnering with Cyber, Risk, Compliance, Privacy, and Legal stakeholders to translate requirements into implementable controls and developer-ready guardrails.A successful candidate would possess these skills:Ability to work independently and collaborate as part of a teamEffective written and verbal communication skillsMeticulous attention to detail and quality of work productAbility to build and sustain professional relationshipsAbility to lead projects or workstreamsAbility to manage and prioritize multiple tasks in a fast-paced and dynamic environmentStrong interpersonal skills and professional demeanorAbility to meet deadlinesAbility to provide clear guidance to othersThe teamYou will join a cyber engineering team focused on enabling resilient, secure, and compliant operations through modern data platforms and AI-enabled automation. The team builds repeatable assets—reference architectures, accelerators, and governance patterns—to help clients modernize and scale cyber and GRC programs.QualificationsRequired:Bachelor's degree or equivalent practical experience.4+ years of experience in data engineering and software development using Python and SQL.Experience building production data pipelines and data models for batch processing, stream processing, or both, and deploying solutions using cloud platforms, containers, infrastructure as code, application programming interfaces, and secrets management.Experience implementing data governance controls including data classification, personally identifiable information handling, least-privilege access, encryption, secrets management, retention, audit logging, and lineage or metadata management.Experience supporting governance, risk, and compliance workflows, including risk reporting, audit data requests, controls monitoring, controls testing, compliance metrics, governance, risk, and compliance tool integrations, and large language model-enabled applications using retrieval-augmented generation, vector or hybrid retrieval, tool or function calling, evaluation or monitoring, prompt-injection defenses, and secure access patterns.Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve.Limited immigration sponsorship may be available.Preferred:Experience in consulting or a Big 4 environment.Experience with Java, Go, or JavaScript.Experience integrating with ServiceNow GRC, Archer, OneTrust, or BigID and building evidence pipelines mapped to control objectives.Experience building pipelines for security information and event management, security orchestration, automation, and response, vulnerability, identity, or cloud security posture data.Experience operationalizing large language model operations or machine learning operations capabilities, including evaluation, monitoring, versioning, and governance workflows.Security certification such as CompTIA Security+, Certified Information Security Manager, Certified Information Systems Auditor, Certified Information Systems Security Professional, or a cloud certification.The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $105,400 to $207,800.You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.#CyberDTP27 Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte" means Deloitte & Touche LLP, a subsidiary of Deloitte LLP. Please see for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. Certain services may not be available to attest clients under the rules and regulations of public accounting. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles’s Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers Requisition code: 353400 Job ID 353400 Strategy, Growth, and Transformation | Enterprise Technology Strategy and TransformationSame job available in 51 locations

The application window is expected to close on: 10/26/2026Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.This is a remote role anywhere in the USA.Meet the TeamOur software engineering team develops software using Cisco’s Design Thinking Principles, with simplification and Security at its core. We use secure coding practices, protect user privacy, and follow software development best practices. We are looking for an experienced engineer who enjoys solving complex security problems through automation, scalable software, and strong engineering practices!We partner closely with Design, Product Management, and other teams to create solutions for our customers. Together, we bring new insights to product innovation and continuously improve how we build software for our customers!Your ImpactIn this role, you will design and develop high-quality software and help bring features from technical design through delivery. You will create technical design documentation for the team and contribute to user documentation for end users.You will troubleshoot and resolve software issues during development and in production. You will collaborate across teams, share technical knowledge with other engineers, and help improve the quality, scalability, security, and reliability of our software.ResponsibilitiesImprove the software development lifecycle and advance best practices in agile engineering.Lead the design and delivery of high-quality security features that improve our products and services.Design and develop production software and services using technologies such as Golang and Python, including APIs and services built with frameworks such as Flask or FastAPI.Build and operate scalable cloud-native applications and infrastructure using technologies such as Kubernetes, Helm, AWS, and Terraform.Work with data technologies such as PostgreSQL, MySQL, and Redis to support reliable, scalable production systems.Contribute to web-based applications and user experiences using technologies such as React and NextJS, where applicable.Support automated build, test, and deployment workflows using GitLab CI, GitHub Workflows, or similar CI/CD technologies.Identify opportunities for products to work together and create greater value for customers.Consider market needs, product adoption, and competition when making design decisions and tracking related metrics.Review and test code to identify problems and improve scalability, speed, and reliability.Develop technical design documentation for the team and contribute to user documentation for end users.Resolve errors, monitor production systems, identify risks, and escalate issues when needed. You may also support on-call escalations.Collaborate with cross-functional teams to capture requirements, estimate timelines, track milestones, and deliver projects that meet user requirements.Share knowledge across teams through presentations, documentation, blogs, newsletters, and other forums.Minimum QualificationsBachelor’s degree with 5+ years of related experience, Master’s degree with 3+ years of related experience, or PhD with 1+ year of related experience.Experience developing production software, including writing clean, functional code and unit tests.Experience troubleshooting and resolving software issues in development and production environments.Experience with code reviews, testing, and software engineering practices focused on scalability, reliability, and quality.Experience creating technical designs and leading software features from design through delivery.Preferred QualificationsBackground leading software projects or features through implementation, testing, and delivery, and preferably experience building security products or developer-facing security tooling.Knowledge of production monitoring, incident response, postmortems, and root cause analysis.Familiarity with secure software development practices, threat modeling, vulnerability analysis, and vulnerability management tools and processes.Ability to use AI/ML or generative AI to solve security problems, such as automated threat detection, alert triage, security investigation, anomaly detection, or security workflow automation.Familiarity with LLMs, AI agents, embeddings, or other machine-learning capabilities and their integration with production systems.Experience with Golang or Python and familiarity with frameworks such as Flask or FastAPI.Familiarity with cloud-native infrastructure and deployment technologies such as Kubernetes, Helm, AWS, and Terraform.Experience with PostgreSQL, MySQL, Redis, or similar databases and data stores.Familiarity with React, NextJS, or similar modern web technologies, and GitLab CI, GitHub Workflows, or similar CI/CD tooling.Proven collaboration with Product Management, Design, Security, and engineering teams, with the ability to mentor engineers, share technical knowledge, and contribute to software engineering roadmaps and capabilities across products.Why Cisco? At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada:The starting salary range posted for this position is $139,300.00 to $203,600.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies:10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by CiscoNon-exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employeesExempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the nextAdditional paid time away may be requested to deal with critical or emergency issues for family membersOptional 10 paid days per full calendar year to volunteerFor non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies.Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows:.75% of incentive target for each 1% of revenue attainment up to 50% of quota;1.5% of incentive target for each 1% of attainment between 50% and 75%;1% of incentive target for each 1% of attainment between 75% and 100%; andOnce performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.The applicable full salary ranges for this position, by specific state, are listed below:New York City Metro Area:$167,700.00 - $282,000.00Non-Metro New York state & Washington state:$149,100.00 - $250,900.00* For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.Job SummaryJob number: 2021235Date posted : 2026-08-19Profession: Product and EngineeringEmployment type: Full time

Position Summary Our Deloitte Cyber team understands the unique challenges and opportunities businesses face in cybersecurity. Join our team to deliver powerful solutions to help our clients navigate the ever-changing threat landscape. Through powerful solutions and managed services that simplify complexity, we enable our clients to operate with resilience, grow with confidence, and proactively manage to secure success. Recruiting for this role ends on 12/31/2026. Work you'll do As a Cloud Security Senior Manager, Azure Infrastructure & AI on the Enterprise Security team, you will be responsible for… Leading Microsoft security teams for large, complex client engagements focused on Microsoft Azure and artificial intelligence (AI) security services, including strategy, design, implementation, and adoptionLeading multiple Azure and AI security projects in project leader and program manager roles, overseeing onsite and offshore engineers and architects to deliver quality outcomes aligned to client objectivesDesigning and implementing security controls for Azure AI Services, including Azure OpenAI Service, Azure Machine Learning, Cognitive Services, and AI Studio, with protections embedded from development through deploymentDeveloping AI security playbooks and governance controls covering encryption, access control, data integrity, model scanning, model governance, data security, and secure deployment practices across Azure environmentsBuilding and automating secure cloud and machine learning operations (MLOps) pipelines using tools such as Azure Policy, Azure Resource Manager (ARM), Bicep, and Terraform to establish consistent security guardrails across Azure platforms and AI servicesLeading business development, client relationship management, technical health checks, proof of concept efforts, operational transitions, thought leadership, and talent development activities within the Microsoft Azure and AI security space A successful candidate would possess these skills: Ability to work independently and collaborate as part of a teamEffective written and verbal communication skillsMeticulous attention to detail and quality of work productAbility to build and sustain professional relationshipsAbility to lead projects or workstreamsAbility to manage and prioritize multiple tasks in a fast-paced and dynamic environmentStrong interpersonal skills and professional demeanorAbility to meet deadlinesAbility to mentor and provide clear guidance to others The team Our Enterprise Security offering embeds security in all aspects of digital transformation by securing a client’s technical backbone while enabling secure digital transformation. Includes security architecture, secure development and deployment, end-to-end cyber cloud capabilities, application security, and security for emerging technologies and connected products. Qualifications Required: One of the following:10+ years of experience in technical consulting, client problem solving, and architecting and designing security solutions with Microsoft Azure and AI security technologies, including Microsoft Entra ID, Active Directory, Microsoft Defender for Office 365, Microsoft Defender for Cloud, Microsoft Defender for Cloud Apps, Microsoft Defender for Endpoint, Microsoft Purview, Microsoft Sentinel, Microsoft Defender XDR, and Microsoft Security Copilot; and experience leading project scope, pricing, and delivery across multiple concurrent proposals and projects10+ years of experience in enterprise security operations, enterprise security architecture, or infrastructure operations, plus 3+ years of experience in consulting leadership roles focused on Microsoft security technologies5+ years of experience designing, implementing, or assessing security controls in Microsoft Azure environments, including Azure AI Services5+ years of experience with identity and access management, network security, data protection, logging, monitoring, vulnerability management, and infrastructure as code in cloud environmentsAbility to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.Limited immigration sponsorship may be available. Preferred: Bachelor's degree in Computer Science, Cybersecurity, Information Technology, Engineering, or a related fieldMaster's degree in Computer Science, Cybersecurity, Information Technology, Engineering, or Business AdministrationAzure certifications, including Azure Security Engineer Associate or Azure Solutions Architect ExpertExperience with Microsoft Defender, Microsoft Sentinel, and Microsoft Entra IDExperience with Azure OpenAI Service, Azure Machine Learning, Cognitive Services, or AI StudioExperience with Microsoft Copilot or GitHub Copilot security controls The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $163,400 to $322,100. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. #DeloitteNDO Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte" means Deloitte & Touche LLP, a subsidiary of Deloitte LLP. Please see for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. Certain services may not be available to attest clients under the rules and regulations of public accounting. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles’s Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers Requisition code: 353810 Job ID 353810 Strategy, Growth, and Transformation | Enterprise Technology Strategy and TransformationSame job available in 46 locations

Role Summary As a ML/Research Engineer at Citadel Securities, you will work closely with researchers to design and build the next generation library for deep learning within the firm. Strong engineering skills, including Python, CUDA, C++.

About OpendoorAt Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We’ve built an end-to-end online experience that has already helped thousands of people and we’re just getting started.About The RoleOur Security Engineering team builds intelligent systems that protect Opendoor and our customers while enabling unprecedented engineering velocity. We apply software engineering and AI to solve security problems across product, infrastructure, and operations by building guardrails where they matter, not gates where they don't.As our Infrastructure Security Engineer, you'll own the security of everything Opendoor runs on including multi-account AWS, Kubernetes clusters, the identity plane connecting every system, and the cloud workloads behind home acquisition, resale, mortgage, title, and escrow. There’s meaningful work already in motion and real room to define where it goes next. What You'll Do Own the security architecture of our production cloud environment - AWS at the core, spanning multiple accounts, Kubernetes clusters, Terraform-managed infrastructure, and the identity plane that ties everything together. Evaluate, build out and operate our cloud security visibility and protection platform ensuring it’s deeply integrated into engineering workflows to drive the automated remediation of infrastructure risks. Define and drive our zero trust access strategy, integrating device trust and identity-aware proxies to provide seamless, secure access to Opendoor infrastructure. Harden our Kubernetes environment including RBAC, admission policies, workload identity, runtime protection, image signing, and base-image strategy on top of our Bottlerocket and Karpenter foundation. Build new agentic detection and response workflows using AWS native primitives that close the loop from alert to investigation to remediation. Drive a shift-left cloud security strategy within our pipelines using Terraform/Terrakube, GitHub Actions, Elastic Container Registry so that misconfigurations get caught at commit time. Partner with the Infrastructure team on cloud-native security decisions: VPC architecture, ingress, secrets management (Vault), service identity, and how Okta extends into AWS, Azure, and GCP. Run our cloud detection engineering: GuardDuty, Security Hub, CloudTrail, VPC flow logs — tuned for signal, integrated with Datadog and our incident response playbooks. Set the bar for what "secure by default" looks like for AI-maximalist engineering — vibe-coded apps, MCP servers, and agent-driven workflows that touch production cloud infrastructure. Mentor engineers across Opendoor on cloud security patterns, and turn the patterns you see into automated guardrails.Tech Stack Cloud Platforms: AWS (primary), Azure, GCP Containers and Orchestration: EKS, Bottlerocket, Karpenter, Helm, Argo CD Identity and Access: Okta, Duo, AWS Identity Center, Okta for Kubernetes, Platform SSO (macOS), HashiCorp Vault Cloud Security Tooling: Lambda, GuardDuty, Security Hub, CloudTrail, Elastic Container Registry, VPC Flow Logs, Kinesis, GitHub Advanced Security, cloud security posture and workload protection platform Detection and Observability: Datadog, Cribl, S3 Languages: Go, Python, TypeScript, Ruby, Terraform (HCL), Terrakube (self-hosted) AI Tooling: Claude Code, Claude Cowork, OpenAI, Codex, Bedrock, Runlayer MCP, custom agent frameworksWhat You'll Need Deep conviction that AI and automation should eliminate manual work and increase the team's impact, and a track record to prove it. You’ve built agentic systems that replaced reactive security work, not just configured off-the-shelf tools. Comfort operating with high autonomy in ambiguous environments. You’ve defined what “good” looks like in a domain where no playbook existed, you’re energized by that, not unsettled by it. Business enablement security mindset. You measure success by business impact and informed risk taking, not by tickets opened or compliance checklists completed. 5+ years of cloud or infrastructure security experience, with deep AWS expertise - you can read a CloudTrail event, write a service control policy, and explain why a particular identity trust policy is dangerous, all in the same conversation. Strong skills in at least one of Go, Python, or TypeScript, with the ability to read and write Terraform and shell scripts. You are a builder. Hands-on Kubernetes security experience — RBAC, network policies, admission control,workload identity, image and supply-chain security. Experience deploying and operating cloud posture and workload protection tooling (Wiz, Prisma, Orca, Datadog, CrowdStrike Falcon Cloud, Lacework, or equivalent) with a strong opinion on what good looks like. Identity first security mindset and demonstrated ability to build identity and access management solutions at scale. Humility and genuine curiosity. You're as excited to learn from engineers across product and infrastructure and enable their work as you are to write detections or design guardrails.Bonus Points Experience designing or operating Zero Trust Network Access (Cloudflare Access, Tailscale, Twingate, Google BeyondCorp, etc.). Detection engineering background with a threat modeling and adversarial mindset - writing detections that actually fire on real attacker behavior without burying the team in noise. Experience securing AI and machine learning pipelines, agent frameworks, or MCP-style integrations that touch production data. Familiarity with SOC 2, SOX, or other compliance frameworks in cloud environments and an instinct for when compliance work creates real security value. Open source contributions to cloud security tooling (Cartography, Prowler, ScoutSuite, Falco, Kyverno, Open Policy Agent, Checkov, etc.).LocationThis role is based in our Miami office, in-person four days per week (Monday, Tuesday, Thursday, Friday). Candidates must be based within commuting distance of the office.

Job Description AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE We are looking for a Junior/Middle Computer Vision Engineer to support high-volume execution across data preparation, model training, and evaluation for an AI team working with large-scale image and video datasets. You will curate and manage annotation workflows, run model training and evaluation jobs, maintain benchmarks, and collaborate with senior engineers on failure-case analysis. The role offers a a clear growth path into applied modeling or MLOps for an early-career engineer eager to build hands-on AI experience. WHAT YOU WILL DO • Curate large-scale image and video datasets, manage labeling processes and workflows, and ensure the highest standards for dataset quality;, • Run model training and evaluation jobs, ensuring experiments are executed smoothly and efficiently;, • Document training results, maintain ongoing evaluation benchmarks, and track model performance over time;, • Collaborate with senior engineers to analyze model failure cases and identify areas for data or algorithmic improvement;, • Take ownership of foundational tasks that support the broader team’s AI/ML lifecycle, directly contributing to the speed and success of production deployments. MUST HAVES • You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;, • 1 to 3 years of experience in software engineering, data science, machine learning, or a related field;, • Degree in Computer Science, Data Science, Engineering, Mathematics, or a related discipline (or equivalent practical experience);, • Engineers located in the US must reside in Dallas, TX, and be open to working from the office (onsite);, • Foundational coding skills in Python;, • Foundational understanding of machine learning concepts and workflows;, • Basic knowledge of computer vision principles (e.g., image processing, object detection basics);, • Basic familiarity with cloud environments and compute resources;, • A strong, demonstrable willingness to learn and adapt in a fast-paced, mentorship-driven environment;, • Excellent attention to detail, specifically regarding data quality and documentation;, • Upper-intermediate English level. PERKS AND BENEFITS • Professional growth: Mentorship, TechTalks, and personalized growth roadmaps., • Competitive compensation: USD-based pay with education, fitness, and team activity budgets., • Exciting projects: Modern solutions with Fortune 500 and top product companies., • Flextime: Flexible schedule with remote and office options.

Job Description AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE We are looking for a Middle/Senior MLOps Engineer to own the complete lifecycle transition from AI/ML experimentation to reliable production deployment, building and maintaining the infrastructure, pipelines, and automation needed to deploy models efficiently at scale. You will implement production monitoring systems, drift detection, experiment tracking, and model versioning, while managing cloud environments and GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and requires close collaboration with data scientists and AI researchers to translate experimental models into production-ready solutions. WHAT YOU WILL DO • Own the complete lifecycle transition from AI/ML experimentation to reliable, high-performance production deployment;, • Build, maintain, and scale the infrastructure, automation, and CI/CD workflows necessary for rapid and efficient model deployment;, • Implement robust production monitoring systems, build visibility dashboards, and set up data and concept drift detection to ensure ongoing model accuracy and system reliability;, • Manage experiment tracking and model versioning to ensure full reproducibility and traceability of all models in production;, • Partner closely with data scientists and AI researchers to translate experimental models into robust, production-ready solutions;, • Manage cloud environments and GPU compute resources to ensure systems are not only highly scalable but also cost-effective. MUST HAVES • You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;, • 3+ years of professional experience in MLOps, DevOps, Data Engineering, Machine Learning, or Software Engineering;, • Degree in Computer Science, Software Engineering, or a related technical discipline (or equivalent practical experience);, • Engineers located in the US must reside in Dallas, TX, and be willing to work onsite;, • Hands-on experience with experiment tracking, model registry/versioning, drift detection, and production monitoring;, • Strong practical experience navigating cloud environments and managing/provisioning GPU compute resources;, • Deep understanding of containerization (e.g., Docker, Kubernetes) and designing robust CI/CD pipelines for automated deployments;, • A solid conceptual understanding of AI/ML fundamentals to effectively communicate, troubleshoot, and collaborate with applied model developers;, • Upper-intermediate English level. PERKS AND BENEFITS • Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget, • Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews, • Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm, • Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands, • Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized, • Well-being & support: access local well-being programs and people-focused support tailored to your location

Job DescriptionAI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering., • Develop and orchestrate multi-agent systems using LangGraph and LangChain., • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock., • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference., • Develop and maintain REST APIs and SDK integrations., • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions., • Follow modern secure coding, DevOps, and CI/CD practices., • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.Required Skills & Qualifications, • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations., • Hands-on production experience with LLMs, RAG, and prompt engineering., • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain., • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock., • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies., • Strong understanding of secure coding and CI/CD practices., • Excellent written and verbal communication skills.Preferred Qualifications, • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise., • Knowledge of MCP, metadata catalog platforms, and advanced API development., • Experience working in government, regulated, or security-sensitive cloud environments., • Familiarity with relevant compliance and security standards.

Job DescriptionExowatt is revolutionizing the energy landscape for the AI era with our groundbreaking P3 system that captures solar energy, stores it as heat, and generates electricity on demand. Founded in 2023 and backed by leading investors including Andreessen Horowitz, Sam Altman, and Felicis, we're committed to providing clean, modular, and scalable power that meets the rapidly growing demands of AI infrastructure. Our mission is to make sustainable renewable energy always available and almost free, enabling technological advancement while protecting our planet. We are seeking an Optomechanical Integration & Test Engineer to join our optics team. The team owns the full design-to-commissioning lifecycle for our tracker hardware: precision optical elements and the structures that position them, solar tracking architectures, structural analysis under wind and gravity loading, and the instrumentation that turns prototypes into measured systems. This role owns that last part. The core problem: prove, with numbers you can defend, that precision optics on a large structure that moves all day, outdoors, under wind, gravity, and thermal swings, actually deliver the energy the models promise, and find out exactly why when they don't. At its core, this is a measurement role for someone who likes to build. Nothing the team designs counts until it is measured, and you will own the infrastructure that produces those measurements: indoor optical benches, a high-flux test facility, and outdoor on-sun test stands. The full loop is yours: test plan to fixture design to instrumented stand to commissioning to data with error bars, learning from every campaign and turning the next test around in days, not months. You will spend most of your time hands-on at the bench, in the high-flux bay, and in the field. The work spans precision alignment, radiometry, thermal measurement, sensors and DAQ, and the Python and AI agents that run them. This is an AI-native team: agents already drive our simulation campaigns and babysit our long-running tests, and we expect you to engineer at that level from day one. A test stand you build is not finished until an agent can run it. Expect real ownership, a steep learning curve, and senior engineers who will review your work closely and push you to grow fast. This position is based in Miami, FL. If selected, relocation to Miami, FL is required. Exowatt provides relocation assistance.Key Responsibilities: • Own optical test stands end to end, from indoor characterization benches to the high-flux test facility to outdoor on-sun stands: concept, CAD, fixtures, instrumentation, commissioning, first light, and day-to-day operation, • Design and run test campaigns from hypothesis to conclusion: write the test plan, build the setup, take the data, quantify the uncertainty, and present results that drive real design decisions, • Characterize optical components and assemblies: alignment verification, focal and flux measurements, camera-based flux mapping, radiometry and thermal power measurement, reflectance and transmittance, • Develop precision alignment procedures and tooling for optical assemblies on tracker platforms, and verify pointing and tracking accuracy in the field, • Select, mount, wire, and calibrate instrumentation (radiometers and power sensors, thermocouples, cameras, tilt sensors, encoders, weather and irradiance instruments) and integrate everything into DAQ systems, • Automate tests in Python: instrument control, data acquisition, analysis pipelines, and the plots and reports that make results legible to the whole team, • Make the test infrastructure agent-ready: expose instruments, test sequencing, and data pipelines through clean scriptable interfaces so AI agents can configure a test, run it, watch it overnight, and flag anomalies, then use those agents to run campaigns that would otherwise wait on a human, • Close the loop between simulation and hardware: compare measured optical performance against raytrace predictions and chase discrepancies to root cause, whether the flaw is in the hardware or in the measurement, • Run environmental and durability testing on optical components (thermal cycling, weathering, soiling) and help build the reliability story for hardware that must survive decades outdoors, • Own test safety around concentrated flux: hazard analyses, interlocks, PPE, and safe operating procedures for indoor high-flux testing and on-sun operations, • Document test plans, procedures, results, and decisions on the team wiki; present and defend your own work in design reviews, growing into ownership of the team's test strategy over timeQualifications:, • BS or MS in Optical Engineering, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Physics, or a closely related discipline, • 2+ years of hands-on laboratory, test, or integration experience with optical or precision hardware; graduate research and substantial internship work count, • Strong fundamentals in math and physics: you reason from first principles, estimate before you compute, and check every result against known limits before you believe it; we probe this hard in interviews, • Hands-on experience on an optical bench: mounting, aligning, and characterizing optics, and the care and cleanliness habits that precision components demand, • Instrumentation fundamentals: sensor selection, signal conditioning, calibration, and DAQ integration, • Python for test automation and data analysis: instrument control, numpy/pandas data reduction, publication-quality plots, • Fluency with AI coding agents (Claude Code, Codex, or similar) as a daily engineering tool: you use them to write most of your code, and you own every line they produce, reviewed, tested, and understood; expect us to ask you to show how you work with AI the same way we ask about your bench skills, • The instinct to make work agentic: you can decompose a workflow into steps an agent can execute, with clean interfaces, verifiable checkpoints, and guardrails, and you have the judgment to catch an agent when it is confidently wrong; engineers who can direct several agents at once will outrun those who type everything themselves, and we hire the former, • Working knowledge of a parametric CAD tool for fixtures and test hardware; the team uses PTC Creo and SolidWorks, • The discipline of good measurement: you control variables, calibrate before you trust, quantify uncertainty, and distrust your own data until the measurement itself is validated, • A track record of building real test setups or hardware: research labs, internships, capstone projects, FSAE, solar car teams, robotics, or independent builds all count; bench experience matters more than coursework grades, • The drive to own the full cycle yourself: take a question to a test plan, to a built stand, to trustworthy data, learn from the mistakes, and iterate quickly rather than handing steps off to others, • Comfort with both bench and field work: precision optical alignment in the morning, commissioning an outdoor test stand in the Miami sun in the afternoon, • Structured root-cause instincts when results look wrong: the first suspect is always the measurement, and you know how to clear or convict it, • Strong written communication: your test reports should let the next engineer reproduce the measurement without asking you, • The temperament to hold your ideas loosely: designs evolve weekly and priorities shift on real evidence; engineers who can let go and update move fastestPreferred Qualifications:, • Radiometry or photometry experience: power meters, flux mapping, camera-based flux measurement, IR thermography, • Exposure to concentrating optics, heliostat or CPV testing, or high-flux measurement, • Camera-based metrology and image processing: OpenCV or similar, converting images into calibrated measurements, • Thermal measurement experience: calorimetry, heat flux sensors, flow-and-temperature-based power measurement, • Design validation and reliability practices: DVP&R, accelerated aging, or environmental qualification against IEC/ASTM standards for solar hardware, • Motion control experience: stages, encoders, motorized mounts, closed-loop pointing systems, • Exposure to optical simulation (LightTools, Zemax, or another raytracer) and to comparing measurement against model, • Statistics for test engineering: design of experiments, measurement system analysis, formal uncertainty budgets, • Experience building agentic systems around real hardware or simulation: agents driving instruments or ray-trace models through tool interfaces (MCP or similar), running parameter sweeps overnight, and summarizing the results; or any project where you gave an AI real levers and made its output trustworthy, • Machine shop skills and rapid prototyping: you can make the bracket you need instead of waiting for it, • Interest in solar energy, heliostats, or large-scale renewable infrastructureAdditional Requirements:, • Willingness to work extended hours and occasional weekends when test campaigns, commissioning windows, or program deadlines demand it, • Ability to lift up to 25 lbs unassisted, and to work on ladders and lifts and around energized equipment and concentrated light with appropriate PPE, • Ability to work outdoors in Miami heat for extended periods during field testing, • Occasional travel to vendors, calibration labs, and field sitesWhat We Offer: Competitive salary and equity options. Comprehensive benefits package, including health, dental, and retirement plans. A dynamic work environment that fosters creativity and innovation. Opportunities for professional growth and development in a rapidly evolving industry. Relocation assistance. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE We are looking for a Senior Computer Vision Engineer to own applied model development across computer vision, machine learning, and data science use cases — building and deploying solutions for object detection, image segmentation, classification, and video analysis. You will evaluate and fine-tune model architectures using PyTorch and TensorFlow, build broader ML models for forecasting and anomaly detection, and apply practical knowledge of computer vision hardware including cameras, sensors, and edge devices. WHAT YOU WILL DO • Own the applied model development process across computer vision, AI/ML, and broader data science use cases;, • Translate complex business problems into viable, practical, and scalable AI/ML solutions;, • Evaluate various model options, train and fine-tune selected architectures, and rigorously analyze model performance;, • Develop and deploy solutions for object detection, image segmentation, image classification, and video analysis;, • Build and maintain models for time-series forecasting, anomaly detection, regression, clustering, and general data analysis;, • Apply practical knowledge of real-world constraints—such as lighting, sensor limitations, and edge device compute power—to ensure optimal data quality and robust model performance in production. MUST HAVES • You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;, • 3 to 5 years of professional experience in Computer Vision, Machine Learning, Data Science, or a related field;, • Degree in Computer Science, Engineering, Data Science, Mathematics, or a related discipline (or equivalent practical experience);, • Engineers located in the US must reside in Dallas, TX, and be open to working from the office (onsite);, • Strong, production-level proficiency in Python;, • Deep hands-on experience with PyTorch and/or TensorFlow;, • Proven track record of building and deploying models for detection, segmentation, classification, and image/video analysis;, • Solid understanding of broader ML and data science techniques (time-series modeling, forecasting, anomaly detection, regression, and clustering);, • Practical experience working with computer vision hardware, including cameras, sensors, and lighting setups;, • Familiarity with deploying models on edge devices;, • Strong understanding of how physical and real-world constraints impact data quality, model training, and inference;, • Upper-intermediate English level. PERKS AND BENEFITS • Professional growth: Mentorship, TechTalks, and personalized growth roadmaps., • Competitive compensation: USD-based pay with education, fitness, and team activity budgets., • Exciting projects: Modern solutions with Fortune 500 and top product companies., • Flextime: Flexible schedule with remote and office options.

Job DescriptionSenior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required. Key Responsibilities • Create reinforcement learning environments for software engineering tasks., • Design tasks involving bug fixing, feature development, refactoring, and performance optimization., • Build deterministic verification systems and golden reference solutions., • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively., • Develop realistic, reproducible software engineering scenarios., • Ensure tasks accurately measure coding ability, problem-solving, and tool usage., • Document solutions and provide clear technical feedback.Required Skills, • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript., • Strong understanding of algorithms and data structures., • Experience with bug fixing and debugging complex software issues., • Proven experience in feature implementation and codebase refactoring., • Strong knowledge of performance optimization and tuning., • Excellent written and verbal communication., • Strong attention to detail.Preferred Qualifications, • Experience working with large-scale or distributed codebases., • Familiarity with AI/ML systems is a plus but not required., • Experience with rigorous code reviews and software engineering best practices., • Experience working effectively in remote or cross-functional teams.Hiring Process, • Submit an application and screening questions., • Complete an AI interview (~30 minutes)., • Complete a technical assessment, if required., • Hiring Manager review.Compensation Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply. Availability Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.

Job DescriptionCompany Overview: One Park Financial (OPF) is a leading Financial Technology company dedicated to empowering small businesses by connecting them with flexible financing and funding options. Our mission is to provide entrepreneurs with the working capital they need to elevate their businesses. At OPF, we believe in working with high-performing individuals who are ready to play an integral part in our company's expansion — because our success hinges on our people. Why Join Us? At OPF, we foster a dynamic and inclusive company culture that emphasizes collaboration, innovation, and personal growth. Our team is composed of passionate, driven individuals who are committed to making a difference. Here’s what you can expect when you join our team: • Innovative Environment: Work with cutting-edge technology and be part of a team that is constantly pushing the boundaries of fintech., • Professional Growth: We invest in our employees’ growth with continuous learning opportunities, training programs, and career advancement paths., • Supportive Culture: Enjoy a supportive and inclusive work environment where your ideas are valued, and your contributions make a real impact., • Community Focus: Be part of a company that understands the importance of small and mid-sized businesses to their communities and the nation’s financial health., • High-Performing Team: Join a team of badasses who are committed to excellence and are integral to our company's expansion and success. About the Role We are looking for a Lead Engineer to own and evolve the Python pricing engine that prices every new business and renewal offer we make. This system decides the terms we put in front of small businesses in real time, so when it prices correctly we grow profitably, and when it prices wrong, even by a single reference file, it costs us real money at scale. You will be the primary developer and technical steward of the engine: building new capabilities, keeping it reliable, and making sure every change is correct before it ships. You will lead one or more engineers who support the system, setting the technical direction and review standards they work to. This is a hands-on lead role, not a hands-off manager role. You will still be in the code every week, and you will also be the person who breaks down the work, reviews the risky changes, and keeps the team shipping accurately and on time. You will coordinate across Product, DevOps, Data Engineering, Data Science, and QA to take pricing changes from a specification to production with confidence. The pricing engine is where you start, not where you stop. This is the first dedicated engineering hire on our analytics team, and the person in it becomes the technical foundation for how we build analytics products going forward. Once you have the engine running reliably, the role grows into integrating our machine-learning models into production, building the internal analytics applications and data products other teams rely on, and owning the data plumbing and quality checks those applications depend on. We are looking for someone who wants to build that platform with us, not only maintain one system. We are an AI-forward company, and we expect our engineers to work that way. We want someone who leans on modern AI and LLM tooling to build, test, and ship faster and sharper, not someone who does things the slow, manual way. We want to work with high-performing people who will play an integral part in transforming the company. We understand one thing: it all comes down to working with creative and committed people and enabling them to do what they do best. Responsibilities • Serve as the primary technical owner of our Python-based pricing and decision engine, deployed on AWS (FastAPI, ECS/Fargate, DynamoDB, Lambda, SQS, Secrets Manager, CloudWatch)., • Implement and integrate new scoring models into the pricing flow, working from Data Science specifications, and maintain the offer grids, modifiers, and rules that set terms, rates, origination fees, and offer sizing., • Own the pricing logic end to end, from scoring through offer construction, and ensure the business logic is correct before it ships. Treat a mispriced offer as the serious incident it is., • Lead and mentor the engineers supporting the system. Set architecture, coding, and review standards, own code review for anything that touches pricing, and spec the risky changes clearly so the team ships accurately., • Own the correctness of the data the engine stores in DynamoDB and S3, including per-decision audit records, experiment history, and the versioned reference files that drive pricing. Build the reconciliation and quality checks that catch problems before they reach production, not weeks later in an analysis., • Design, run, and analyze A/B tests on pricing strategies, including who is eligible, how variants are assigned and balanced, and the integrity of the experiment data you later measure against., • Own the integration with the sales platform the engine prices for, and the data flow to and from the CRM and external credit and bank-data providers., • Keep the engine reliable and observable, and maintain the health dashboard the team uses to monitor it in production., • Partner with Product on the pricing roadmap and the pricing UI, with DevOps on deployment and incident response, with Data Engineering on the upstream data and pipelines the engine depends on, with Data Science on model deployment, and with QA on test strategy and coverage., • Communicate system behavior and changes clearly to non-technical stakeholders, and keep these teams aligned on shared services, API contracts, and deployment workflows., • Use modern AI and LLM tooling to speed up your own work, from prototyping to documentation to testing. Where this role grows (beyond the pricing engine): As the first dedicated engineering hire on the analytics team, you will build out the broader analytics platform once the pricing engine is in steady hands: • Integrate machine-learning models built by our data science and marketing analytics teams into production, writing the feature and scoring logic that puts a model's output to work in the pricing flow and other decisions, and partnering with Data Science on iteration., • Build the internal analytics applications and data products other teams depend on, from automated reporting to decision-support tools., • Own the data storage, plumbing, and quality checks those analytics applications and models depend on., • Set the engineering standards and technical direction for analytics development as the team grows around you. Requirements • 5+ years of professional Python development, including building and maintaining production applications and services, not just scripts or notebooks., • Experience leading or mentoring engineers: setting standards, reviewing others' code, and directing a small team's work., • Experience building and maintaining REST APIs (FastAPI, Flask, or similar)., • Hands-on AWS experience operating production services, particularly ECS/Fargate, DynamoDB, S3, Lambda, SQS, Secrets Manager, and CloudWatch., • Real care for data correctness in production storage: designing DynamoDB read and write access patterns, handling schema changes and type boundaries cleanly, and managing versioned data in S3 such as Parquet and partitioned datasets. You should be able to talk about a time a data-storage bug bit you and how you would prevent it., • Strong SQL, and comfort working with relational and NoSQL data and reference files such as CSV and Parquet., • Comfort with business-logic-heavy applications where correctness matters, including reading and correctly implementing rules from scorecards, reference files, and configuration data., • Familiarity with data modeling and validation frameworks such as Pydantic, and the instinct to build reconciliation and QA checks rather than trusting writes blindly., • Hands-on experience integrating machine learning or analytical model outputs into production systems, including feature engineering and scoring logic, and collaborating with Data Science on model deployment and iteration., • Experience designing or supporting A/B tests and experimentation, including an appreciation for stratification and clean experiment data., • Strong communication and cross-team collaboration, able to work across Product, DevOps, Data Engineering, Data Science, and QA, each with a different technical context, and keep them aligned., • Self-directed, and comfortable owning a system end to end., • Comfort using modern AI and LLM tools to make your own work more efficient. Nice to have: • Background in financial services, lending, or pricing systems., • Experience with CRM or platform APIs such as Salesforce or HubSpot., • CI/CD and containerized deployments (Docker, ECS)., • Analytics-engineering tooling such as dbt or Airflow., • Front-end familiarity (Next.js, TypeScript) for the admin and monitoring dashboard., • Experience building AI infrastructure and agents (RAG, LangChain, LangGraph, Agents SDK)., • Exposure to ML model serving and deployment tooling (model monitoring, retraining pipelines, MLflow or SageMaker). Not required for day one, but an area this role grows into as we build out the analytics platform Benefits • Local & National Health Insurance, • Dental and Vision insurance, • Group Medical Bridge, • 401k with Match, • ID Protection: 100% covered by the company, • Life Insurance: 100% covered by the company, • Generous PTO and holidays