AI Agents Applied Research/Engineering Lead - Executive Director
JPMorgan Chase & Co.Match Score
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Job Description
Structured overview of role & requirementsAbout This Role
Lead the end-to-end lifecycle of LLM-based AI agent systems including research, production deployment, and cross-functional collaboration with Product, Engineering, Design, and Risk teams.
Drive research and development in multi-step agent workflows, tool use, safety, optimization, and scalability under strict regulatory and operational constraints.
Define, implement, and track key success metrics like task completion, accuracy, latency, and customer satisfaction to transform financial customer experiences with AI.
Minimum Requirements
Ph.D. with 8+ years or M.S. with 12+ years of experience building and deploying AI systems in production.
Applied experience with Generative AI, LLM fine-tuning techniques, prompt engineering, and retrieval-augmented generation.
Strong technical skills in ML, deep learning, information retrieval or recommendation systems, and proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).
Work Experience Required: Minimum 8 years (Ph.D.) or 12 years (M.S.) in relevant AI system development and deployment.
Ideal Candidate Profile
Senior technical leader with proven ability to set and drive applied AI research agendas from concept to production in regulated, high-stakes environments.
Experience managing complex LLM systems involving multi-agent orchestration, safety, privacy compliance (PCI), and operational scalability.
Strong background in conversational AI, reinforcement learning or preference-based optimization, and MLOps practices for real-world applied AI products.