AI Engineering Director

The AI Engineering Director position centres on establish evaluation, experimentation, regression, and observability frameworks to continuously improve AI system quality, reliability, and agent behavior. It would suit someone who can bring leading the architecture and implementation of scalable, reliable LLM-based systems and agentic AI platforms for enterprise use cases to the role.

What the work leans on

As an AI Engineering Director within LLM Suite engineering, AI/ML & Data Platforms team at JPMorgan. You will collaborate with Line of Business AI teams to address priority use cases, design and build services, and promote best practices in AI.

Where the technical work sits

• Establish evaluation, experimentation, regression, and observability frameworks to continuously improve AI system quality, reliability, and agent behavior.
• Mentor senior engineers and influence engineering direction through code reviews, architecture discussions, technical standards, and cross-organizational leadership.
• Design and build production-grade AI systems, including agents, harnesses, skills, memory architectures, guardrails, and tool-use workflows.

Technical requirements

• Experience building and leading high-performing AI teams.
• PhD or deep experience using LLMs and Agents to develop scalable applications, or experience in a top commercial AI research lab.
• Strong understanding of AI fundamentals and practical experience with data analysis and experimental design.

What helps delivery stay steady

Leading the architecture and implementation of scalable, reliable LLM-based systems and agentic AI platforms for enterprise use cases. Strong professional approach.

Practical details

• Additional detail: Training or development support may be provided.

Job details

• Benefits mentioned: Training