Applied AI/ML Director – Agentic AI, Asset & Wealth Management
JPMorgan Chase · Bengaluru
| Company | JPMorgan Chase |
|---|---|
| Role | Applied AI/ML Director – Agentic AI, Asset & Wealth Management |
| Location | Bengaluru |
| Work mode | On-site |
| Experience | 6+ years |
| Job type | Full-time |
About this job
JPMorgan Chase is hiring an Applied AI/ML Director in Bengaluru for the Trust and Estate Technology team in Asset and Wealth Management. You will set the reference designs for agentic AI across the business.
That covers LLM orchestration, tool use, retrieval, guardrails, testing and monitoring. You will build reusable assets such as RAG pipelines, prompt management and safety filters, and still code hands-on in Python. The role is in the office.
Eligibility
- 10+ years of applied experience, with formal AI/ML training
- Hands-on agentic AI and LLM orchestration: tools, retrieval, guardrails
- Strong Python with PyTorch or TensorFlow
- LangChain, LangGraph, Hugging Face and RAG frameworks
- Cloud deployment on AWS or Azure and solid system design
Skills required
What you will do
- Own reference designs for agentic AI and LLM systems
- Build reusable RAG, prompt and evaluation components
- Run agentic workflows with guardrails and monitoring
- Review vendor and internal designs for fit
- Lead AI practice communities and firmwide standards
How to apply
- Open the official JPMorgan Chase job page with the Apply button and submit your application there.
- Tailor your resume to LLM or agent systems you put into production, and the guardrails and evaluation you designed.
Before the interview, prepare:
- RAG design: chunking, embeddings, retrieval quality and re-ranking
- Agent patterns: planning, tool calling, state and retries
- Evaluating LLM output: test sets, metrics and human review
- Guardrails for regulated data: permissions, audit and PII handling
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