VP of AI Agents Engineering & Applied Research

Aumni; Palo Alto (CA); On-site; USD 210,000 - 280,000; Full time

Benefits offered by this job

On-site health and wellness centers

Retirement savings plan

Tuition reimbursement

Mental health support

Financial coaching

Job summary

JPMorganChase’s Digital Team in Palo Alto seeks an AI Agents Applied Research/Engineering Lead to shape how millions of customers discover, decide, and act. You will own end-to-end lifecycle of LLM-based agents, balancing performance with safety, privacy, and regulatory requirements.

You will collaborate with Product, Engineering, Design, and Risk to bring these systems to market, and you’ll define research directions in multi-step planning, tool use, and auditable, explainable AI in a

Qualifications

• Ph.D. or M.S. with substantial production AI experience.
• Experience deploying multi-step AI workflows in production.
• Strong track record in ML and experimental design.

Responsibilities

• Lead research and deployment of agentic AI systems with multi-step workflows, tool calling, and multi-agent orchestration.
• Fine-tune and optimize LLMs for production constraints (latency, memory, cost).
• Apply reinforcement learning to improve personalization and dialogue policies.
• Scale LLM systems with caching, batching, governance, evaluation frameworks.
• Implement privacy, safety, and security controls including PCI compliance and auditability.
• Design rigorous experiments with strong baselines and meaningful metrics.
• Define and track success metrics for agent performance.

Skills

GenAI experience

LLM fine-tuning

Prompt engineering

RAG

ML foundations

Information Retrieval

Python

PyTorch

TensorFlow

Hugging Face

scikit-learn

research leadership

presenting to leadership

Education

Ph.D. with 1+ years or M.S. with 3+ years building and deploying AI systems in production

Tools

PyTorch

TensorFlow

Hugging Face

scikit-learn

Job description

JPMorganChase’s Digital Team in Palo Alto seeks an AI Agents Applied Research/Engineering Lead to shape how millions of customers discover, decide, and act. You will own end-to-end lifecycle of LLM-based agents, balancing performance with safety, privacy, and regulatory requirements.

You will collaborate with Product, Engineering, Design, and Risk to bring these systems to market, and you’ll define research directions in multi-step planning, tool use, and auditable, explainable AI in a