JPMorgan Chase & Co.

Lead Machine Learning Engineer - Agentic Pricing

JPMorgan Chase & Co. Jersey City, New Jersey, United States · $171K–$260K/yr

Financial Services · 10,001+ employees

9 h ago
machine-learning Senior (5-10 yrs) Full-time United States
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About the role

Design, productionize, and operate LLM-powered agents on the NEO platform across the Commercial & Investment Bank and Payments divisions. Collaborate with business and engineering teams to build scalable, auditable agentic workflows using retrieval, memory, and multi-agent communication.

What they look for

Python Machine Learning LLM Agentic applications RAG Graph RAG AWS Azure Kubernetes Data structures Algorithms Information retrieval Statistics SQL NoSQL MLOps

Requirements

Requires a Master's degree in a technical field and at least 7 years of development experience, including 4 years in AI/ML solutions. Candidates must possess expert knowledge of cloud platforms, Python, and practical experience with RAG and agentic frameworks.

Benefits

Health care coverage Retirement savings plan Backup childcare Tuition reimbursement Mental health support Financial coaching On-site health and wellness centers

Full description

Job Summary

JPMorganChase is hiring top talent to join the growing CIB Technology organization within Digital & Platform Services / Data Analytics, building production AI agents on NEO that leverage the firm’s scale, data, and full-service advantage to deliver measurable impact across the Commercial & Investment Bank and Payments. As a Senior AI Application Engineer, you’ll design, productionize, and operate LLM-powered agents on NEO (the firm’s agent runtime PaaS on AWS/Azure), partnering closely with business, product, and engineering teams in a fast-paced environment. Core Selling Aspects (Why this role)

You’ll build and ship agents that real businesses depend on, not demos. NEO already runs a federated portfolio of production agents — forecasting, anomaly detection, log analysis, with sales fulfillment and voice-of-client close behind — and you’ll add to it. You’ll work across CIB sub-LOBs and Payments, using NEO’s runtime, retrieval, and memory primitives plus platforms such as Databricks and the GenAI Gateway, and apply MLOps for automation, continuous delivery, and compliance with AI/ML control expectations. NEO is the firm’s agent runtime: it gives agents secure execution, agent-to-agent (A2A) communication, MCP-based tool access, a managed memory layer, and permission-aware, auditable operation in a regulated environment. Your job is to turn that platform into shipped agents.

Job Responsibilities

  • Design and ship production agents on NEO across the federated portfolio, owning them

from prototype through production.

  • Build retrieval that holds up in production: Graph RAG combining knowledge-graph

traversal with vector search, plus chunking, ranking, and grounding strategies that keep

answers accurate and auditable.

  • Design agent memory: episodic and semantic memory organized as memory nodes,

with recall, summarization, and decay policies tuned per use case.

  • Own organizational context management — assembling entitlement-, lineage-, and

tenant-aware context so each agent reasons over only what it’s allowed to see.

  • Compose multi-agent workflows using A2A, and integrate tools and data through MCP

servers (Bitbucket, Confluence, Databricks, Kubernetes, Snowflake, Splunk).

  • Build and run evals: task-level and end-to-end agent evaluations, regression suites,

LLM-as-judge, and quality/safety gating before release.

  • Deploy and operate solutions on public cloud (AWS and/or Azure) with strong SDLC,

security, resiliency, and observability practices.

Partner with product and business partners across CIB and Payments to turn use cases

into shipped, supported agents.

Required Qualifications, Capabilities, and Skills

  • MS in Computer Science, Statistics, Mathematics, Machine Learning, or related field (or

equivalent experience).

  • Minimum 7 years of development experience, with at least 4 years working on AI/ML

solutions.

  • Hands-on experience building LLM-powered or agentic applications in production,

including tracing, evaluations, and guardrails.

  • Strong programming skills in Python, with deep knowledge of data structures,

algorithms, machine learning, data mining, information retrieval, and statistics.

  • Practical RAG experience — retrieval quality, embeddings, and vector stores; Graph RAG

a strong plus.

  • Expert knowledge of at least one of: AWS, Azure, Kubernetes.

Knowledge of data management and data model design; real-time processing using

both SQL (e.g., Postgres) and NoSQL stores (e.g., OpenSearch, Redis).

• Excellent communication skills with the ability to partner effectively with senior technical

and business stakeholders.

Preferred Qualifications, Capabilities, and Skills

  • Experience with agent frameworks or runtimes, A2A, or MCP.

Agent memory design (memory nodes, episodic/semantic memory) and organizational

context management.

  • Knowledge graphs and graph databases used for retrieval.
  • Understanding of LLM fine-tuning and small language model inference.
  • Ability to develop full-stack products using modern JavaScript/TypeScript frameworks

(e.g., Next.js, Svelte) for agent UIs (AG-UI / NEO UI SDK).

  • Experience working in the financial or payments domain at a large institution (Investment

Banking, Markets, Securities Services, or adjacent).

  • Knowledge of high-performance languages such as Go or Rust

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

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