AI Agents Applied Research Engineering Lead, Executive Director

JPMorgan Chase

Quick summary

Work type
On-site
Location
Palo Alto, CA
Salary
$223,250–$325,000 / yr
Posted
1 day ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $219k
This role $274k
$173k most similar roles pay here $341k

This role pays more than 85% of similar roles. Most pay $189,015–$249,550 — the shaded band above. At the midpoint, this role pays about $274k versus about $219k for comparable roles.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 429 open roles on FindRole.

Listed pay typically runs $142,500–$201,000 across 218 roles with salary data.

Most-posted roles

View all roles at JPMorgan Chase

At a glance

TL;DR · AI Agents Applied Research Engineering Lead, Executive Director

Role Posting Log in to save

As an Executive Director in the Digital Team at Consumer & Community Banking, you will lead the research and deployment of advanced AI agents that streamline complex financial tasks for millions of customers. Your role involves defining cutting-edge research directions, building robust production systems under stringent latency and compliance constraints, and collaborating with cross-functional teams to bring innovative solutions to market. You’ll fine-tune large language models using techniques like parameter-efficient fine-tuning and quantization, apply reinforcement learning to enhance personalization, and ensure privacy and security through rigorous testing and governance frameworks. Proficiency in Python, ML frameworks such as PyTorch and TensorFlow, and experience with MLOps practices are essential for this role, which operates at a scale of over 80 million users, requiring expertise in both technical research and practical deployment.

Skills

Python PyTorch TensorFlow HuggingFace scikit-learn LLM PEFT ReinforcementLearning CI/CD MLOps A/BTesting PCICompliance JailbreakResistance Auditability InformationRetrieval RecommendationSystems DPO IPO

What you'll do

  • Define and lead research directions for multi-step planning and tool use in LLM-based agents.
  • Optimize large language models to meet real-world production constraints like latency and cost.
  • Implement privacy, safety, and security controls including compliance and auditability measures.
  • Design and scale evaluation frameworks for caching, batching, and prompt governance of LLM systems.
  • Partner with cross-functional teams to bring AI agent systems from concept to market deployment.

What we're looking for

  • Ph.D. with 8+ years or M.S. with 12+ years in building and deploying AI systems.
  • Expertise in fine-tuning LLMs, prompt engineering, and RAG techniques.
  • Experience scaling LLM systems using caching, batching, governance, and evaluation.
  • Strong foundation in ML, deep learning, statistical modeling, and experimental design.
  • Proficiency in Python and ML frameworks like PyTorch, TensorFlow, Hugging Face.
  • Demonstrated ability to set and drive a technical research agenda from concept to deployment.
  • Experience with reinforcement learning, preference optimization, and safety evaluation.

Related searches

More AI Agents Applied Research jobs AI Agents Applied Research jobs in Palo Alto All jobs at JPMorgan Chase

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