Applied AI ML Lead - Agent Builder Platform

JPMorganChase; Jersey City (NJ); On-site; USD 170,000 - 230,000; Full time

Benefits offered by this job

Health care coverage

Retirement savings plan

Tuition reimbursement

Mental health support

Financial coaching

Job summary

JPMorganChase is seeking an Applied AI and Machine Learning Lead - Agent Builder Platform to design and deliver agentic AI products and platform capabilities used by engineering teams across the firm.

You will translate high-impact business problems into production-grade solutions, lead end-to-end delivery, and set engineering quality standards while collaborating with product and stakeholder groups to achieve measurable outcomes.

Qualifications

• Formal training or certification on applied AI/ML and 5+ years of applied experience.
• Advanced proficiency in Python with strong software engineering fundamentals.
• Hands-on experience building, evaluating, and deploying ML/LLM-enabled systems in production.
• Experience with prompt engineering and retrieval-augmented generation, including evaluation methods.
• Experience designing reliable services with incident response readiness and operational stability.
• Demonstrated ability to lead technical decisions and deliver outcomes amid ambiguity.
• Strong communication skills to explain trade-offs to technical and non-technical stakeholders.

Responsibilities

• Lead end-to-end delivery of agentic AI and LLM-powered use cases from framing to production deployment and monitoring.
• Own core platform services and reusable components enabling teams to build and operate AI agents at scale.
• Establish engineering standards through design reviews, testing, and mentorship to improve reliability and developer experience.
• Build and operationalize evaluation, testing, tracing, metrics, logs to continuously improve quality.
• Implement governance patterns including guardrails and access controls aligned to enterprise needs.
• Partner with product managers to shape roadmaps and define success metrics with measurable impact.
• Drive cross-functional alignment across engineering, data, security, and risk partners.
• Contribute to technical documentation and enablement content to accelerate adoption.

Skills

Python

Software engineering fundamentals

Production ML systems

Prompt engineering

Incident response

Leadership of technical decisions

Communication with stakeholders

Tools

Docker

Kubernetes

LangGraph

LlamaIndex

Google ADK

Databricks

AWS

Job description

Help shape how teams across the firm build and deploy agentic artificial intelligence products - at scale, with quality, and with measurable impact. You will work on a high-visibility platform that accelerates engineering teams, raises delivery standards, and turns complex business needs into reliable production outcomes. Join a team where strong engineering, thoughtful collaboration, and continuous learning are core to how we operate.

As a Applied AI and Machine Learning Lead - Agent Builder Platform at JPMorganChase within Enterprise Technology, AI and Machine Learning & Data Platforms, you will lead the technical design and delivery of agentic AI products and platform capabilities used by engineering teams across the organization. You will translate high-impact business problems into production-grade solutions, from discovery and design through deployment and ongoing operations. You will set a high engineering quality bar while partnering closely with product and stakeholder groups to deliver measurable outcomes.

Job Responsibilities

• Lead end-to-end delivery of agentic AI and large language model-powered use cases from problem framing and technical design through production deployment and monitoring.
• Own core platform services and reusable components that enable teams to build, evaluate, and operate AI agents safely at scale.
• Establish engineering standards through hands-on system design, rigorous code review, and mentorship to improve reliability, maintainability, and developer experience.
• Build and operationalize evaluation, testing, and observability capabilities (tracing, metrics, logs, and analytics) to continuously improve solution quality.
• Implement robust safety and governance patterns, including guardrails, access controls, and audit-ready operational practices aligned to enterprise expectations.
• Partner with product managers and stakeholders to shape roadmaps, define success metrics, and prioritize work that delivers measurable business impact.
• Drive cross-functional alignment across engineering, data, security, and risk partners to ensure solutions are secure, stable, and scalable.
• Contribute to technical documentation, reference implementations, and enablement content that accelerates adoption and responsible usage.

Required Qualifications, Capabilities And Skills

• Formal training or certification on applied artificial intelligence and machine learning concepts and 5+ years applied experience
• Advanced proficiency in Python with strong software engineering fundamentals, including testing, design patterns, version control, and code review practices.
• Hands-on experience building, evaluating, and deploying machine learning or large language model-enabled systems into production environments.
• Practical experience with prompt engineering and retrieval-augmented generation, including evaluation methods and quality measurement.
• Experience designing and operating reliable services, including incident response readiness, performance tuning, and operational stability for data-intensive systems.
• Demonstrated ability to lead technical decisions and deliver outcomes through ambiguity, balancing speed, risk, and long-term maintainability.
• Strong communication skills with the ability to explain technical trade-offs to both technical and non-technical stakeholders.

Preferred Qualifications, Capabilities And Skills

• Experience with agent orchestration frameworks (for example, LangGraph, LlamaIndex, Google ADK or custom orchestration) and evaluation tooling for large language model systems.
• Experience with continuous integration and continuous delivery practices and containerization (Docker and Kubernetes) for production deployments.
• Familiarity with vector databases, embedding pipelines, or graph-based memory approaches used in retrieval-augmented generation solutions.
• Experience with cloud and machine learning platforms (for example, Amazon Web Services, Databricks, or comparable platforms).
• Experience contributing to AI governance, validation approaches, or guardrail frameworks in enterprise settings.

About Us

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

About The Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.