VP, Applied AI/ML: Agentic Systems & Guardrails

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 250,000 - 450,000; Full time

Job summary

JPMorgan Chase & Co. is seeking an Applied AI/ML Vice President within Global Private Bank to design and build agentic AI systems for end-to-end business workflows.

You will bring deep expertise in agent architectures, memory, state and context management, tool orchestration, and loop engineering to deliver safe, observable, high-quality solutions. You will collaborate with business and technologists to shape requirements, controls, and success metrics, translating advances in LLMs, retrieval,

Qualifications

• PhD in a quantitative discipline or equivalent depth; MS with 5+ years also acceptable.
• Expertise in building agentic AI systems and related patterns.
• Strong experience with ML/DL toolkits and Python stack.

Responsibilities

• Develop advanced agentic AI solutions across NLP, time series, and RL.
• Design agent architectures spanning memory, state, and context management.
• Engineer reliable agent-driven workflows with guardrails and auditable paths.
• Build knowledge-centric reasoning layers with knowledge graphs and retrieval.
• Write specs/contracts (schemas, validators) and build evaluation harnesses.
• Drive self-improvement loops, critique cycles, and data curation for ML systems.
• Mentor AIML team members and raise engineering rigor.

Skills

Agent architectures

Memory/state/context mgmt

Tool orchestration

Loop engineering

Spec-driven development

Prompt/skill instruction

ML/DL methods

PyTorch

TensorFlow

Education

PhD in CS/EE/Math/OR/DS

MS + 5+ years

Tools

PyTorch

TensorFlow

Job description

JPMorgan Chase & Co. is seeking an Applied AI/ML Vice President within Global Private Bank to design and build agentic AI systems for end-to-end business workflows.

You will bring deep expertise in agent architectures, memory, state and context management, tool orchestration, and loop engineering to deliver safe, observable, high-quality solutions. You will collaborate with business and technologists to shape requirements, controls, and success metrics, translating advances in LLMs, retrieval,