Lead Software Engineer - ML Engineer for Agent Platform

JPMorgan Chase; Jersey City (NJ); On-site; USD 152,000 - 215,000; Full time

Job summary

JPMorgan Chase in Jersey City, NJ is seeking a Lead Software Engineer - ML Engineer for the Agent Platform within the Commercial and Investment Banking - Data Analytics Payments Team. You will lead hands-on engineering of major runtime components, secure execution, agent-to-agent communication, memory, retrieval, and evaluation in a secure, scalable way.

You will mentor engineers, drive AI-assisted practices, ensure secure coding standards, and collaborate with internal teams and external

Qualifications

• Formal training or certification in software engineering concepts with 5+ years of applied experience.
• Hands-on experience delivering system design, development, testing, and operational stability.
• Advanced in one or more programming languages; strong Python required.
• Experience leading use of AI-assisted development tools with validation for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows and secure handling of data/outputs.
• Hands-on experience building LLM-powered or agentic systems with tracing and guardrails.
• Proficient in all aspects of the Software Development Life Cycle.
• Advanced understanding of Agile methodologies including CI/CD, resilience, and security.
• Proficient in software applications and technical processes in cloud/AI/ML.
• In-depth knowledge of the financial services industry and IT systems.
• Cloud-native experience; production Kubernetes expected.

Responsibilities

• Executes creative software solutions and technical troubleshooting for novel problems.
• Builds and operates major NEO runtime components and integrations.
• Develops secure, high-quality production code and assists in code reviews.
• Drives adoption of AI-assisted engineering practices to improve quality and delivery.
• Applies SDLC toolchains and automation to increase value.
• Identifies opportunities to automate recurring issues for stability.
• Implements permission-aware, auditable execution for agents.
• Leads evaluation sessions with vendors and internal teams on architecture.
• Leads communities of practice and mentors engineers.
• Contributes to an inclusive, diverse team culture.

Skills

Python

AI-assisted development tools

Leadership / mentoring

Agile methodologies

Education

Formal training or certification on software engineering concepts

Tools

Kubernetes

Docker

Terraform

CI/CD tooling

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer - ML Engineer for Agent Platform at JPMorgan Chase within the Commercial and Investment Banking - Data Analytics Payments Team, you are an integral part of an agile team that builds and delivers NEO, the firm's agent runtime platform for Payments Technology. You lead hands-on engineering of major runtime components - secure execution, agent-to-agent communication, memory, retrieval, and evaluation - in a secure, stable, and scalable way. As a core technical contributor, you are responsible for delivering critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Builds and operates major NEO runtime components - agent execution and sandboxing (micro-VMs), A2A and MCP integrations, the memory layer (memory nodes), retrieval, and evaluation harnesses
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of the software applicaitons and systems
• Implements permission-aware, auditable execution for agents, including fine-grained authorization and runtime policy checks
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies, and mentors Lead and senior engineers
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s); strong Python required
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
• Hands-on experience building LLM-power or agentic systems, including tracing, evaluations, and guardrails
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning)
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience; production Kubernetes expected

Preferred qualifications, capabilities, and skills

• Exposure to LLMs, RAG architectures, vector databases, and embedding-based retrieval systems; Graph RAG a plus
• Experience with agent protocols (A2A, MCP) or multi-agent orchestration
• Experience with sandboxed/secure code execution (containers and micro-VMs such as Firecracker, Kata, gVisor)
• Experience with agent memory (memory nodes, episodic/semantic memory) or graph-backed retrieval
• Familiarity with building or running evals for LLM/agent systems
• Proficiency with Infrastructure as Code (Terraform) and containerized deployments (Docker, Kubernetes)
• Experience with data observability, quality, and metadata management tools

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

Base Pay/Salary

Jersey City,NJ $152,000.00 - $215,000.00 / year