Lead Machine Learning Engineer - Generative AI and Agent Platforms

Job Responsibilities

• Design and deliver production AI agents across a federated portfolio, owning solutions from prototype through launch and operational support
• Engineer retrieval systems that perform reliably in production, including hybrid retrieval-augmented generation patterns (vector search plus graph-based retrieval where appropriate) with robust chunking, ranking, and grounding approaches
• Implement agent memory patterns, including episodic and semantic memory with recall, summarization, and decay policies aligned to use-case needs
• Build entitlement-aware and tenant-aware context assembly so agents reason only over permitted data, supporting traceability and auditability
• Orchestrate multi-agent workflows and integrate external tools and data sources through secure connectors and standardized tool interfaces
• Develop evaluation frameworks, including task-level and end-to-end evaluations, regression suites, automated scoring, and release gates for quality and safety
• Deploy and operate agent services on public cloud platforms (Amazon Web Services and/or Microsoft Azure), applying strong software development lifecycle, security, resiliency, and observability practices
• Optimize runtime performance and reliability by instrumenting tracing, monitoring, and incident-response playbooks for agent services
• Partner with product and business leaders to translate use cases into shipped capabilities, define success metrics, and drive continuous improvement based on production feedback

Required Qualifications, Capabilities And Skills

• Formal training or certification on applied AI and machine learning concepts and 5+ years applied experience
• Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or a related field, or equivalent practical experience
• Minimum 7 years of software development experience, including at least 4 years delivering artificial intelligence or machine learning solutions
• Hands-on experience building large language model–powered or agentic applications in production, including tracing, evaluations, and safety guardrails
• Strong programming skills in Python, including strong fundamentals in data structures, algorithms, and applied statistics
• Practical experience with retrieval-augmented generation, including embedding strategies, retrieval quality measurement, and use of vector databases
• Proficiency operating production workloads in at least one of the following: Amazon Web Services, Microsoft Azure, or Kubernetes
• Experience designing data models and building systems using both SQL and NoSQL technologies for real-time or near-real-time use cases
• Strong communication skills and the ability to partner effectively with senior technical and business stakeholders

Preferred Qualifications, Capabilities And Skills

• Experience with agent frameworks and multi-agent orchestration patterns, including agent-to-agent coordination and Model Context Protocol integrations
• Experience with knowledge graphs and graph databases to improve retrieval quality, explainability, and audit readiness
• Understanding of model optimization techniques, including fine-tuning approaches and efficient inference for smaller models
• Experience developing user-facing applications using modern JavaScript or TypeScript frameworks for agent user interfaces
• Experience delivering AI solutions in financial services or payments environments with high reliability and control expectations
• Familiarity with Go or Rust for performance-sensitive services

About Us

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. 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, 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 Team

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.