$135,000–$160,000
Lead Machine Learning Engineer - Agentic Pricing
Posted by JPMorganChase · open on Oracle Cloud as of
Pay not postedJersey City, NJ
Lead the design, productionization, and operation of LLM-powered agents on JPMorganChase’s NEO runtime across Corporate & Investment Bank and Payments use cases.
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At a glance
Posted base pay
Not posted
Median $190K
Senior FDE postings1,864 postings · middle 50% of posted pay$160K–$220KThe work
Builds for teams inside the company
Balance Mostly building
Project stages
- Pre-sales (not covered)
- Proof of concept
- Implementation
- Operations
- Coding
- Writes production code
- Builds for
- Internal teams
- Level
- Senior
- Role
- Individual contributor
What they ask for
Experience
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More like this
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What you’ll do
- Design and ship production agents on NEO from prototype through production
- Build production-grade retrieval, grounding, and agent memory systems
- Compose multi-agent workflows using A2A and MCP integrations
- Build evaluations, regression suites, guardrails, and release-quality gates
What you’ll bring
- Minimum 7 years of development experience, including at least 4 years working on AI/ML solutions
- Production experience building LLM-powered or agentic applications with tracing, evaluations, and guardrails
- Strong Python programming and foundations in algorithms, machine learning, information retrieval, and statistics
- Practical RAG experience with retrieval quality, embeddings, and vector stores
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