Lead Software Engineer - Agentic AI, Java/Python

JPMorgan Chase; Jersey City (NJ); On-site; USD 157,000 - 215,000; Full time

Job summary

JPMorgan Chase in Jersey City is seeking a Lead Software Engineer - Agentic AI, Java/Python, to join the Data Analytics Payments Team. You will lead hands-on engineering building agentic AI on NEO, the firm’s agent runtime platform for Payments Technology, and collaborate with senior stakeholders to drive data-driven sales growth and secure, scalable technology solutions.

You will mentor engineers, promote AI-assisted coding practices, ensure secure coding and end-to-end delivery, and contribute

Qualifications

• Formal training or certification in software engineering concepts and 5+ years applied experience.
• Hands-on experience delivering design, development, testing, and operational stability.
• Advanced in one or more programming languages; strong Python required.
• Experience delivering production React (Next.js) web applications, including real-time UI (SSE/WebSocket) and working within a component/design system.
• Demonstrated experience using AI-assisted development tools for coding, review, and test acceleration with validation of AI outputs.
• Strong understanding of responsible AI use in engineering, data sensitivity, secure handling of inputs/outputs, resiliency and security expectations.
• Hands-on experience building LLM-powered or agentic systems, including tracing, evaluations, and guardrails.
• Proficiency with the Software Development Life Cycle and cloud-native environments (Kubernetes).

Responsibilities

• Executes creative software solutions, design, development, and troubleshooting to solve complex problems.
• Builds and operates multiple agentic solutions on the NEO platform end-to-end.
• Delivers full-stack surface using TypeScript/Next.js with Salt Design System at scale.
• Develops secure, production-grade code and reviews others' work.
• Promotes AI-assisted engineering practices to improve quality, speed, and stability.
• Uses SDLC tools and enterprise AI capabilities to maximize value.
• Aims to reduce recurring issues to improve stability of applications and systems.
• Implements permission-aware, auditable agent execution with policy checks.
• Leads communities of practice and mentors engineers, fostering diversity and inclusion.

Skills

Python

Next.js

React

AI tooling

Kubernetes

Terraform

Docker

Security best practices

Tools

Salt Design System

SSE/WebSocket

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 - Agentic AI, Java/Python at JPMorgan Chase within the Commercial and Investing Banking - Data Analytics Payments Team, you are an integral part of an agile team that delivers trusted technology products in a secure, stable, and scalable way. You will collaborate with senior stakeholders to design, drive growth of J.P. Morgan's Data and Analytics solutions and enable data-driven sales growth strategies. You lead hands-on engineering of driving intelligence automation and build agentic AI on NEO, the firm's agent runtime platform for Payments Technology.. 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 multiple agentic solutions on NEO end to end - agent execution and sandboxing (micro-VMs), A2A and MCP integrations, the memory layer (memory nodes), retrieval, and evaluation harnesses

• Delivers the full-stack product surface - Typescript/Next.js application on Salt Design System with virtualization at scale.

• 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 applications and systems

• Implements permission-aware, auditable execution for agents, including fine-grained authorization and runtime policy checks

• 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

• Experience delivering production React (Next.js) web applications, including real-time UI (SSE/WebSocket) and working within a component/design system

• 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

• 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)

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 $156,750.00 - $215,000.00 / year