Lead Machine Learning Engineer - Generative AI and Agent Platforms

You’ll build and ship agents that real businesses depend on, not demos. Platform

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 Corporate & Investment Bank sub-lines

of business and Payments, using Platform’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. Platform 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.

As an Applied AI and Machine Learning Lead at JPMorganChase within Payments

Technology, Data Analytics, Regulatory & Compliance (Data Analytics) in the

Commercial & Investment Bank, you will build and operate unique Agentic

operation system and runtime that allows engineering teams build and safely,

reliably run their AI agents. You will also build own AI Agents that solve

high-impact business problems with measurable outcomes. You will own agent

solutions end-to-end, combining strong engineering discipline with rigorous

evaluation, safety, and operational excellence. You will partner with product,

engineering, and business stakeholders to deliver reliable, auditable AI

capabilities at enterprise scale.

Job responsibilities

* Design and deliver production AI agents across a federated portfolio, owning

solutions from prototype through launch and operational support

* Engineer retrieval systems that perform reliably in production, including

hybrid retrieval-augmented generation patterns (vector search plus

graph-based retrieval where appropriate) with robust chunking, ranking, and

grounding approaches

* Implement agent memory patterns, including episodic and semantic memory with

recall, summarization, and decay policies aligned to use-case needs

* Build entitlement-aware and tenant-aware context assembly so agents reason

only over permitted data, supporting traceability and auditability

* Orchestrate multi-agent workflows and integrate external tools and data

sources through secure connectors and standardized tool interfaces

* Develop evaluation frameworks, including task-level and end-to-end

evaluations, regression suites, automated scoring, and release gates for

quality and safety

* Deploy and operate agent services on public cloud platforms (Amazon Web

Services and/or Microsoft Azure), applying strong software development

lifecycle, security, resiliency, and observability practices

* Optimize runtime performance and reliability by instrumenting tracing,

monitoring, and incident-response playbooks for agent services

* Partner with product and business leaders to translate use cases into shipped

capabilities, define success metrics, and drive continuous improvement based

on production feedback

Required qualifications, capabilities and skills

* Formal training or certification on applied AI and machine learning concepts

and 5+ years applied experience

* Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics,

or a related field, or equivalent practical experience

* Minimum 7 years of software development experience, including at least 4

years delivering artificial intelligence or machine learning solutions

* Hands-on experience building large language model–powered or agentic

applications in production, including tracing, evaluations, and safety

guardrails

* Strong programming skills in Python, including strong fundamentals in data

structures, algorithms, and applied statistics

* Practical experience with retrieval-augmented generation, including embedding

strategies, retrieval quality measurement, and use of vector databases

* Proficiency operating production workloads in at least one of the following:

Amazon Web Services, Microsoft Azure, or Kubernetes

* Experience designing data models and building systems using both SQL and

NoSQL technologies for real-time or near-real-time use cases

* Strong communication skills and the ability to partner effectively with

senior technical and business stakeholders

Preferred qualifications, capabilities and skills

* Experience with agent frameworks and multi-agent orchestration patterns,

including agent-to-agent coordination and Model Context Protocol integrations

* Experience with knowledge graphs and graph databases to improve retrieval

quality, explainability, and audit readiness

* Understanding of model optimization techniques, including fine-tuning

approaches and efficient inference for smaller models

* Experience developing user-facing applications using modern JavaScript or

TypeScript frameworks for agent user interfaces

* Experience delivering AI solutions in financial services or payments

environments with high reliability and control expectations

* Familiarity with Go or Rust for performance-sensitive services

#LI-RB3

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

[https://careers.jpmorgan.com/us/en/how-we-hire/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.