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AI Engineer - Lead Software Engineer
Job Description
This senior software engineering role in JPMorganChase's Enterprise Technology group focuses on architecting and delivering scalable large language model systems and agentic AI platforms for enterprise use. The position emphasizes cloud-native design on AWS, establishing evaluation and observability standards, and cross‑team influence to improve reliability, cost efficiency, and developer velocity.
Responsibilities
- Lead the architecture and hands-on delivery of scalable, reliable agentic AI platforms that support enterprise workflows
- Design and build production-grade AI systems including agents, skills, memory patterns, guardrails, and orchestration of tool use
- Architect retrieval and context engineering approaches such as embeddings, semantic search, grounding, summarization, and prompt/version management
- Develop cloud-native AI services on AWS using containers, serverless patterns, event-driven messaging, and distributed data stores
- Optimize platform performance across latency, throughput, scalability, caching, context efficiency, and cost controls
- Build well-governed APIs and integrations that connect AI capabilities to enterprise platforms, tools, and business processes
- Establish evaluation, experimentation, regression testing, and observability frameworks to continuously improve quality and agent behavior
- Define engineering standards for reliability, security, and safe AI operation throughout the platform lifecycle
- Mentor senior engineers and influence engineering direction through code reviews, architecture forums, and cross‑team technical leadership
- Leverage enterprise authorized AI coding assist tools to enhance code quality, delivery speed, and productivity on complex deliverables, with outputs validated via peer review, automated testing, and secure coding practices
- Contribute learnings and reusable patterns to improve broader team effectiveness
- Apply knowledge of the Software Development Life Cycle toolchain, including enterprise authorized AI assisted development and automation capabilities, to maximize the value of automation
Requirements
- Formal training or certification in software engineering concepts with 5+ years of applied experience
- Experience architecting and shipping production large language model applications, including agentic workflows and tool integration patterns
- Strong software engineering fundamentals with the ability to deliver cloud-native services using containers and serverless designs on AWS
- Proficiency designing distributed systems with asynchronous workflows, durable messaging, and scalable data access patterns
- Experience building retrieval-augmented generation solutions (embeddings, semantic search, grounding) and managing prompt lifecycle/versioning
- Proven ability to implement evaluation and monitoring approaches for model quality, reliability, and safe behavior over time
- Strong API design skills, including secure integration patterns and reusable platform capability development
- Proven technical leadership skills, including mentoring, driving architecture decisions, and influencing cross-functional stakeholders
- Hands-on experience using enterprise authorized AI assisted software development tools with demonstrated ability to critically evaluate and refine AI generated outputs for correctness, performance, and security
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices
Technologies
- AWS
- Kubernetes
- LLM Suite
Benefits
- comprehensive health care coverage
- on-site health and wellness centers
- retirement savings plan
- backup childcare
- tuition reimbursement
- mental health support
- financial coaching
Federal Deposit Insurance Act
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.
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