Executive Director- Applied AI/ML Lead
JPMorgan ChaseBase Salary
$195k - $325k/yr
Responsibilities
- Architect, design, and personally implement production search, chatbot, and agentic workflow systems while writing and reviewing code daily.
- Serve as the senior technical authority for LLM-powered applications, including retrieval strategies, agent design, orchestration patterns, and system architecture.
- Build scalable retrieval pipelines using hybrid search, re-ranking, chunking, and embedding strategies, along with conversational AI and backend integrations.
- Design agentic workflows involving tool use, multi-step planning, orchestration, error recovery, and human-in-the-loop patterns.
- Solve systems challenges involving latency, reliability at scale, observability, and evaluation of non-deterministic systems.
- Define technical standards, design patterns, and reference architectures for generative AI applications.
- Raise engineering quality through design reviews, code reviews, technical mentorship, and collaboration with product and business stakeholders.
Requirements
- 10+ years of hands-on software engineering experience building production systems at scale, with recent focus on search, conversational AI, or workflow automation.
- Expert proficiency in Python, distributed systems, API design, and microservices architecture.
- Strong understanding of LLM capabilities and limitations, including prompt engineering, context management, and output parsing, without requiring model training or fine-tuning.
- Deep experience with retrieval systems, conversational AI, or agentic architectures across multiple areas.
- Strong systems thinking covering latency, throughput, cost efficiency, and graceful degradation in non-deterministic AI systems.
- Hands-on experience with AWS cloud services for production applications.
- Ability to elevate team output through technical leadership without relying on management hierarchy.
- Excellent technical communication skills with technical and non-technical audiences.
- Preferred: experience building evaluation and testing frameworks for LLM applications.
- Preferred: familiarity with advanced RAG patterns such as query decomposition, multi-index routing, contextual compression, and knowledge graph integration.
- Preferred: experience with agent orchestration at scale, including parallel tool execution, stateful workflows, and cost/token management.
- Preferred: experience operating AI-powered systems in regulated environments, including model governance and explainability.
Benefits
- Competitive total rewards package with base salary determined by role, experience, skill set, and location, plus potential incentive compensation for eligible roles.
- Benefits may include comprehensive health care coverage, on-site health and wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching.
- The position is subject to Section 19 of the Federal Deposit Insurance Act, including review of criminal conviction history as a condition of employment.
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About JPMorgan Chase
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. We serve millions of customers and many of the world’s most prominent corporate, institutional, and government clients daily, managing assets and investments, offering business advice and strategies, and providing innovative banking solutions and services. Social Media Terms and Conditions: https://bit.ly/JPMCSocialTerms JPMorgan Chase & Co. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.