FSSBU - Program Manager / Director - Data & AI with Banking Domain Capgemini SEFSSBU - Program Manager / Director - Data & AI with Banking DomainNew York, NY$126,000–$145,000 / yearIt delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. This leader will drive end-to-end program delivery, manage multimillion-dollar engagements, and act as a trusted advisor to senior client stakeholders while ensuring commercial success and delivery excellence.
Senior Data Scientist - AI - Specialty Operations CVS Health CorpSenior Data Scientist - AI - Specialty OperationsNew York, NY$101,970–$222,480 / yearIndependently solves complex, ambiguous business problems and brings new perspectives to existing solutions across operational, financial, and clinical domains. Structures and leads advanced analytical and AI-driven approaches (e.g., predictive modeling, machine learning, optimization, forecasting, and emerging AI applications) to address high-impact business challenges.
Senior Director, AI & Business Transformation US Code and Theory LLCSenior Director, AI & Business Transformation USNew York, NY$160,000–$250,000 / yearDepending on the client engagement, this role may operate in a forward-deployed capacity - embedded inside a client team, working alongside their engineers, product leads, and operators to ship solutions in real time. Deep experience designing unified operating models spanning governance, org design, data and measurement, investment frameworks, and field enablement.
Cyber AI Data Engineer Senior Consultant Deloitte Touche Tohmatsu LtdCyber AI Data Engineer Senior ConsultantPrinceton, NJ$105,400–$207,800 / yearExperience 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. 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.
Staff Software Engineer - Search / AI CVS Health CorpStaff Software Engineer - Search / AINJ$106,605–$284,280 / yearCurrently, we are seeking a Staff Software Engineer - Search / AI who as a Senior technical leader, be responsible for driving architecture, design, and delivery of scalable, cloud-native platforms built on microservices architecture and AI capabilities. CVS Health is looking for hands-on, passionate people who want to join a high energy and growing team to make a difference in customers' lives and who want to be on the forefront of digital innovation that aims to reinvent what a pharmacy and a health care company can be in the digital world.
Product Management Lead, AI - Real-Time News BloombergProduct Management Lead, AI - Real-Time NewsNew York, NY$180,000–$350,000 / yearYou will lead a team of experienced product managers and define both the near-term roadmap and long-term transformation of the product toward an agentic AI-driven experience, where systems proactively surface, contextualize, and act on information. This role requires a strong understanding of financial markets, real-time information workflows, and unstructured data, and how users consume and act on news in time-sensitive environments.
Product Management Lead AI - Real-Time News Bloomberg LPProduct Management Lead AI - Real-Time NewsNew York, NY$180,000–$350,000 / yearYou will lead a team of experienced product managers and define both the near-term roadmap and long-term transformation of the product toward an agentic AI-driven experience, where systems proactively surface, contextualize, and act on information. This role requires a strong understanding of financial markets, real-time information workflows, and unstructured data, and how users consume and act on news in time-sensitive environments.
Product Owner - AI Risk Transformation - Managing Director JPMorgan Chase Bank, N.A.Product Owner - AI Risk Transformation - Managing DirectorNew York, NYFull timeLeading cross-functional product teams, partnering closely with senior leaders across Risk, Technology, Quantitative Analytics & Data Management, Data & Analytics, Asset & Wealth Management and Wholesale Credit Risk, and business stakeholders. The position is a senior leadership role responsible for: Setting the strategy direction and leading execution for a portfolio of risk products and platforms across Asset and Wealth Management Risk.
Applied ML and Generative AI Lead - Vice President JPMorgan Chase Bank, N.A.Applied ML and Generative AI Lead - Vice PresidentJersey City, NJFull timeAs the Applied ML and Generative Lead within J.P.Morgan, you will operate as a hands-on engineering leader responsible for designing, building, and running production-grade ML and Generative AI services, while setting technical direction that scales across multiple workstreams. Bachelor's or Master's degree in Computer Science, Engineering, or a related field and 7+ years of demonstrated experience in applied AI/ML engineering, with a track record of developing and deploying business critical machine learning models in production.
AI Java AWS Lead Software Engineer JPMorgan Chase Bank, N.A.AI Java AWS Lead Software EngineerNew York, NYFull timeAs a Lead Software Engineer at JPMorganChase within the Consumer and Community Banking Connected Commerce team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices .
Technology Support I - AI JPMorgan Chase Bank, N.A.Technology Support I - AIJersey City, NJFull timeHands-on experience providing technology/production support using enterprise-authorized AI capabilities - e.g., AI-assisted incident triage, trend analysis, run-book retrieval, and validated remediation, with strong output-validation habits and awareness of data sensitivity. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
AI Research Scientist - Senior Associate JPMorgan Chase Bank, N.A.AI Research Scientist - Senior AssociateNew York, NYFull timeThe CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. Morgan AI Research, you will work on novel techniques, tools, and frameworks to model and solve complex large-scale problems, collaborating with experts in various technical and business disciplines, contributing to high-impact business applications at the cutting edge of AI.
Applied AI & ML Lead - Markets Operations JPMorgan Chase Bank, N.A.Applied AI & ML Lead - Markets OperationsJersey City, NJFull timeAs an Applied Artificial Intelligence and Machine Learning Lead at JPMorganChase within Markets Operations in the Commercial & Investment Bank , you will drive the strategy, design, and delivery of solutions that improve operational efficiency, resilience, and control outcomes. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
AI Research Lead (Natural Language Processing) - Vice President JPMorgan Chase Bank, N.A.AI Research Lead (Natural Language Processing) - Vice PresidentNew York, NYFull timeThe CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. Morgan AI Research, you will work on novel techniques, tools, and frameworks to model and solve complex large-scale problems, collaborating with experts in various technical and business disciplines, contributing to high-impact business applications at the cutting edge of AI.
Staff AI Engineer - Paige Pave, Inc.Staff AI Engineer - PaigeNew York, NY$221,000–$299,000 / yearYou identify customer problems that AI can uniquely solve and partner with Product to shape what gets built, not just how • Proven track record leading 01 technical initiatives with high ambiguity, driving them from concept to production • Pragmatic engineering judgment: you know when to move fast and when to invest in quality • Ability to drive technical alignment across teams. Youll be defining primitives and patterns that other engineers build on, so you need to bring people along • Founder mentality with bias toward action, ownership, and urgency; youre energized by the challenge of bringing a new AI product to market.
AI Engineer - Paige Pave, Inc.AI Engineer - PaigeNew York, NY$166,600–$225,400 / yearYou want to understand the customer problem and why it matters Experience shipping features end-to-end in ambiguous, fast-moving environments Pragmatic engineering judgment: you know when to move fast and when to invest in quality Collaborative by default. Think: autonomous agents that can reason over structured compensation data and execute multi-step workflows (market pricing, cycle planning, attrition analysis) across Paves platform.
Technical Project Manager - AI MUFG Americas Holdings CorpTechnical Project Manager - AIJersey City, NJ$140,000–$189,000 / yearAdditionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. Overview: The Technical Project Manager will play a pivotal role in driving the successful integration and execution of advanced AI and digital transformation initiatives within a highly regulated financial services environment.
Senior AI Engineer Raylu AISenior AI EngineerNew York City, New York$190,000–$250,000 / yearOpinionated: Deep level of understanding of the technological landscape, making both high level system and granular code design decisions based on understanding rather than preference - diving deep on unknown patterns in order to build the best product. Design, build, and productionize agent workflows end-to-end (APIs, tools, evals, monitoring).
Project Leader/ Manager - AI & Data (1279) Axtria, Inc.Project Leader/ Manager - AI & Data (1279)Berkeley Heights, NJ$83,200–$114,225 / yearCandidates will be expected to have extensive experience and deep understanding in the Life Sciences and Biopharma domain, across data sets and its usages such as: Syndicated commercial pharma datasets across Claims, Retail Sales, Non-retail Sales, Trade data, Specialty Pharmacy (SP/SD), Hub, Formulary, Co-pay, Prescriber-Plan data, EMR/EHR, Diagnostic data, Shipment, Inventory, Non-personal Promotion data, Speaker Programs, Email Campaigns, Digital Data (HCP Portal, Patient Portal, Brand websites, Third-party website), Conferences etc. Support in developing data science competencies and resources for the customer by enabling access to big data sets (sourced within and outside the organization) using a combination of open source, cloud and other tools and techniques for data analytics, machine learning, mining, and visualization.