Vice President and Engineer for Applied AI/ML

JPMorgan Chase & Co.
Palo Alto, United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours
Job source

Tech stack

Adobe InDesign Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Automated Storage and Retrieval Systems Code Review Software Design Patterns Fault Tolerance Python (Programming Language) Cloud Services Software Engineering Chatbots
+7 more
Large Language Models Prompt Engineering Generative AI Backend Build Management Low Latency Microservices

Job description

Join the Payments and Global Banking Technology team as a Vice President and Engineer for Applied AI/ML. This is a hands-on, code-every-day role focused on application-layer engineering-using large language models as components within scalable systems that solve real business problems in banking and financial services. You will work within a team of engineers under the guidance of senior technical leaders, delivering high-quality features and systems end-to-end while developing your expertise in generative AI application development.

As a Vice President - Applied AI/ML Lead in Payments and Global Banking Technology, you design and build production search, conversational AI, and agentic workflow systems powered by generative AI. You deliver high-quality features and systems end-to-end within established architectural frameworks. You collaborate with senior technical leaders and cross-functional partners to translate requirements into scalable implementations. You contribute to engineering quality through strong implementation practices and peer review., * Implement and iterate on production search, chatbot, and agentic workflow features, writing and reviewing code daily.

  • Build retrieval pipelines (hybrid search, re-ranking, chunking, and embedding strategies) and integrate them into conversational AI systems with dialogue management and backend services.
  • Implement components of agentic workflows (tool use, orchestration, error recovery, and human-in-the-loop patterns) within established architectural frameworks.
  • Troubleshoot and resolve systems issues related to latency, reliability, and observability in non-deterministic AI systems.
  • Follow and contribute to team technical standards, design patterns, and best practices for generative AI-powered applications.
  • Participate in design reviews and code reviews to maintain engineering quality.
  • Collaborate with product and business stakeholders to understand requirements and deliver technical solutions., J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Requirements

  • 6+ years of hands-on software engineering experience building production systems at scale, with exposure to search, conversational AI, or workflow automation.
  • Proficiency in Python, application programming interface (API) design, and microservices architecture.
  • Working understanding of large language model (LLM) capabilities and limitations, including prompt engineering, context management, and output parsing, and practical use of models as components.
  • Experience with at least one of the following: retrieval systems, conversational AI, or agentic architectures (tool calling, planning, and orchestration).
  • Awareness of systems-level concerns, including latency, throughput, cost efficiency, and graceful degradation.
  • Experience with Amazon Web Services (AWS) cloud services for production applications.
  • Strong communication and collaboration skills across technical and non-technical audiences., * Experience building evaluation and testing frameworks for LLM-powered applications.
  • Familiarity with retrieval-augmented generation (RAG) patterns, including query decomposition, multi-index routing, and contextual compression.
  • Exposure to agent orchestration, including parallel tool execution, stateful workflows, and cost/token management.
  • Experience working in regulated environments with awareness of model governance and explainability requirements.

This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase’s review of criminal conviction history, including pretrial diversions or program entries

Benefits & conditions

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

About the company

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. 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.

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