AI Engineering Director
Core
Lead a team to develop horizontal LLM-based capabilities, APIs, and agentic AI platforms for enterprise use cases at JPMorganChase.
Role type
AI Engineering Director (LLM Suite engineering)
Builds
Scalable LLM-based systems, agentic AI platforms, APIs, libraries, and reusable platform capabilities
Domain
Financial services / Large Language Models / Agentic AI
Deliverable
production ML models | infrastructure
Required skills
LLM and Agents development, AI fundamentals, experimental design, model training and deployment, distributed computing patterns, team leadership, technical architecture
Preferred skills
Enterprise-scale AI platform development, AI evaluation and observability frameworks, cloud-native architectures, cross-functional collaboration, MCP protocols, system optimization
Technologies
AWS (ECS, EKS, Lambda, SQS, SNS, DynamoDB), MCP Servers
Responsibilities
Lead architecture and implementation of scalable LLM-based systems and agentic AI platforms; Design and build production-grade AI systems including agents, harnesses, skills, memory architectures, guardrails, and tool-use workflows; Architect and implement retrieval and context-engineering patterns; Engineer cloud-native AI platforms on AWS; Optimize AI systems for latency, throughput, scalability, caching, context efficiency, and cost; Build APIs, integrations, MCP Servers, and reusable platform capabilities; Establish evaluation, experimentation, regression, and observability frameworks; Mentor senior engineers and influence engineering direction
Seniority
Director, hands-on IC with leadership