Lead Machine Learning Engineer - Agentic Pricing
JPMorgan Chase12 hours ago
Base Salary
$171k - $260k/yr
Responsibilities
- Design, ship, and operate production agents on NEO from prototype through production.
- Build production-grade Graph RAG, vector retrieval, chunking, ranking, embeddings, and grounding strategies.
- Design episodic and semantic agent memory with recall, summarization, and decay policies.
- Manage entitlement-, lineage-, and tenant-aware organizational context.
- Compose multi-agent workflows using A2A and integrate tools and data through MCP servers.
- Develop agent evaluations, regression suites, LLM-as-judge systems, and quality and safety gates.
- Deploy and operate solutions on AWS and/or Azure with security, resiliency, observability, and SDLC practices.
- Partner with product, business, and engineering stakeholders across CIB and Payments.
Requirements
- Master’s degree in Computer Science, Statistics, Mathematics, Machine Learning, or a related field, or equivalent experience.
- At least 7 years of development experience, including at least 4 years working on AI/ML solutions.
- Production experience building LLM-powered or agentic applications, including tracing, evaluations, and guardrails.
- Strong Python programming and knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics.
- Practical RAG experience with retrieval quality, embeddings, and vector stores; Graph RAG is strongly preferred.
- Expertise in at least one of AWS, Azure, or Kubernetes.
- Knowledge of data management and data model design, including real-time processing with SQL and NoSQL stores such as Postgres, OpenSearch, and Redis.
- Strong communication and collaboration skills with senior technical and business stakeholders.
- Preferred experience with agent frameworks or runtimes, A2A, MCP, agent memory, organizational context management, knowledge graphs, graph databases, LLM fine-tuning, small language model inference, and modern JavaScript/TypeScript frameworks.
- Preferred experience developing agent UIs with Next.js, Svelte, AG-UI, or the NEO UI SDK; financial or payments domain experience; and Go or Rust.
Benefits
- Competitive total rewards package with benefits including health care coverage, on-site health and wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching.
- Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash or forfeitable equity.
- JPMorganChase provides equal employment opportunity, reasonable accommodations, and diversity and inclusion support.
Tech Stack
AWSAzureDatabricksGoJavaScriptKubernetesNext.jsPostgreSQLPythonRedisRustSnowflakeSplunkSQLSvelteTypeScript
Categories
About JPMorgan Chase
JPMorgan Chase provides consumer and commercial banking, payments, credit card, wealth management, and corporate and investment banking services to individuals, businesses, institutions, and governments. The public company (NYSE: JPM) earns revenue from interest, fees, trading, and asset management across operations in more than 100 markets. Headquartered in New York City with roots dating to 1799, it serves retail customers and prominent corporate and government clients through brands including Chase and J.P. Morgan.