Lead Software Engineer - Agentic AI

JPMorganChase; Plano (TX); On-site; USD 130,000 - 170,000; Full time

Job summary

JPMorganChase is seeking an experienced software engineer to lead the development of an AI-assisted agent platform. You will drive architecture, implement agent-based workflows, and coordinate across product, risk, and controls.

Expertise in Python and backend ecosystems is required, with a strong emphasis on responsible AI and scalable deployment. You will partner with teams to deliver robust, secure, and efficient systems, adopting enterprise-standard toolchains and governance practices.

Qualifications

• Formal training or certification on software engineering concepts
• 5+ years applied experience in software engineering
• Proficiency in Python (primary for agent orchestration) and/or TypeScript / Java / Go

Responsibilities

• Execute creative software solutions and troubleshoot complex problems
• Define and drive platform roadmap for agent-based capabilities
• Lead end-to-end delivery of core agent platform components
• Partner with product, engineering, risk, and control stakeholders
• Establish quality, performance, and operational standards for agent workloads
• Translate experimentation into production with scalable designs
• Embed governance, privacy, and model risk in platform design
• Communicate technical strategy to senior stakeholders
• Drive adoption of enterprise AI-assisted engineering practices
• Apply SDLC tools to improve automation and value

Skills

Python

TypeScript

Java

Go

LLM tooling

AI-assisted dev tools

Responsible AI

Multi-agent orchestration

Architecture design

Education

Formal software engineering training

Tools

Pinecone

Milvus

Qdrant

pgvector

FastAPI

Spring Boot

Node.js

Job description

Job Description

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

Job Description

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

Job Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Define and drive the platform roadmap for agent-based capabilities, focusing on measurable outcomes, reliability, and usability
• Lead end-to-end delivery of core agent platform components, including software development kits, reference implementations, and integration patterns
• Partner with product, engineering, risk, and control stakeholders to align requirements, prioritize trade-offs, and unblock execution
• Establish quality, performance, and operational standards for agent workloads, including monitoring, testing, and incident readiness
• Translate experimentation into production by driving clear architecture decisions, scalable designs, and repeatable deployment practices
• Guide responsible development practices by embedding governance, privacy, and model risk considerations into platform design
• Communicate technical strategy and progress to senior stakeholders with clarity, data, and pragmatic recommendations
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment 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.
  

Required Qualifications, Capabilities, And Skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Proficiency in Python (primary for agent orchestration and LLM tooling) and/or TypeScript / Java / Go for enterprise backend integration.
• Data & RAG Systems: Designing hybrid search pipelines (dense vector retrieval, BM25, rerankers) paired with vector databases like Pinecone, Milvus, Qdrant, or pgvector.
• Backend & API Design: Building scalable microservices using FastAPI, Spring Boot, or Node.js to expose agent interfaces (REST, WebSockets, Server-Sent Events for streaming tokens and tool calls).
• 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
• Agentic Frameworks & Orchestration: Production experience with multi-agent and workflow orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI, LlamaIndex Workflows, Semantic Kernel).
• Tool Calling & Function Calling: Deep expertise in structuring model tool calls, JSON schema validation, dynamic API integration, sandboxed code execution, and MCP (Model Context Protocol).
• Architecture & Memory Management: Implementing short-term and episodic memory (scratchpads, state graphs, vector-based retrieval, conversational buffer compaction).
• LLM Foundations: Advanced prompt engineering, chain-of-thought, ReAct (Reasoning + Acting), reflection loops, and output grounding/guardrails (e.g., NeMo Guardrails, Guardrails AI)
  

Preferred Qualifications, Capabilities, And Skills

• Experience building agent-based systems, orchestration patterns, or agent development tooling and evaluation frameworks
• Experience designing scalable inference or model serving architectures, including latency, throughput, and cost optimization
• Familiarity with responsible artificial intelligence practices, model risk concepts, and governance-by-design approaches
• Experience contributing to or maintaining widely used open-source software in machine learning or infrastructure ecosystems
• Domain knowledge applying machine learning to regulated financial services use cases
  

ABOUT US

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
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.
Equal Opportunity Employer/Disability/Veterans

About The Team

Our Consumer & Community Banking Group depends on innovators like you to serve consumers, small businesses, municipalities and non-profits. You'll support the delivery of award winning tools and services that cover everything from personal and small business banking as well as lending, mortgages, credit cards, payments, auto finance and investment advice. This group is also focused on developing and delivering cutting edged mobile applications, digital experiences and next generation banking technology solutions to better serve our clients and customers.