As a Lead Software Engineer at JPMorgan Chase within Infrastructure Platforms Applied Artificial Intelligence and Machine Learning (AI/ML), you will join a small, specialist team responsible for creating horizontal capabilities, including reusable APIs, libraries, reference architectures, and practical enablement that accelerates delivery across key products and platforms.
We are seeking a Lead Software Engineer to join a small, specialist team responsible for creating horizontal capabilities, including reusable APIs, libraries, reference architectures, and practical enablement that accelerates delivery across key products and platforms. This is a hands-on technical specialist role, with the opportunity to create new systems and capabilities that will accelerate our business.
The ideal candidate brings a strong foundation in software engineering and AI/ML, along with proven experience leading the development and production operation of AI-enabled systems in secure, enterprise environments. In this role, you will collaborate closely with engineering teams across our group to develop priority use cases, design and build services, and promote best practices for scalable, resilient, and secure AI adoption. You will also mentor engineers, contribute to firmwide standards and thought leadership, and help ensure the organization stays at the forefront of AI engineering advancements.
Your deep experience of developing and deploying software to production in enterprise environments will be key to enabling our AI strategy, combining practical expertise with AI/ML knowledge to ensure our systems are secure, compliant and performant.
Job responsibilities
- Design and develop modular, maintainable AI systems and interfaces aligned to Infrastructure platform standards, optimizing for scalability, resiliency, and long-term operability.
- Partner closely with Applied AI/ML, Data Science and Cybersecurity engineers to develop secure AI solutions for Infrastructure Platforms and our consumers.
- Create secure and high-quality production code, and reviews and debugs code written by others
- Evaluate AI solution approaches from engineering standpoint to improve overall design quality, code quality, and operational outcomes.
- Influence peers and project decision makers to adopt leading-edge technologies where they create measurable value.
- Drives team adoption of enterprise AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
- Contribute to the engineering community by advocating firmwide frameworks, tools, and practices for the AI-enabled System Development Life Cycle (SDLC).
- Foster a team culture of opportunity, inclusion, and respect.
Required qualifications, capabilities, and skills
- Significant hands-on system/software development experience, delivering production services in secure, regulated environments.
- Demonstrated experience leading technical discussions (technical direction, design reviews, quality standards, and operational readiness) across a team or program.
- Significant experience in at least one modern programming language: Java, Python.
- Experience using AI coding assistants (GitHub Copilot, Claude Code etc) to complete software engineering tasks.
- Solid understanding of building AI solutions using an LLM backed architecture.
- Strong understanding of API design, microservices, and event-driven architectures.
- Experience building and operating cloud-native services on AWS, including Bedrock.
- Strong DevOps practices: CI/CD pipelines, containerization (Docker, ECS/EKS), and infrastructure-as-code (e.g., Terraform/CloudFormation).
- Strong prompt engineering capability, including system prompts, few-shot prompting, tool/function calling, and structured outputs (e.g., JSON schemas).
- Demonstrated experience driving secure and effective adoption of enterprise-approved AI-assisted engineering tools (coding, review, testing, troubleshooting) and setting team expectations for validating AI outputs for correctness, performance, and security.
Preferred qualifications, capabilities, and skills
- Financial Services industry experience
Skills Required
- Significant hands-on system or software development experience delivering production services in secure, regulated environments.
- Experience leading technical discussions involving technical direction, design reviews, quality standards, and operational readiness.
- Significant experience with at least one modern programming language, such as Java or Python.
- Experience using AI coding assistants such as GitHub Copilot or Claude Code for software engineering tasks.
- Solid understanding of building AI solutions using LLM-backed architectures.
- Strong understanding of API design, microservices, and event-driven architectures.
- Experience building and operating cloud-native services on AWS, including Amazon Bedrock.
- Strong DevOps practices, including CI/CD pipelines, containerization with Docker and ECS/EKS, and infrastructure as code using Terraform or CloudFormation.
- Strong prompt engineering capability, including system prompts, few-shot prompting, tool or function calling, and structured outputs such as JSON schemas.
- Experience driving secure adoption of enterprise-approved AI-assisted engineering tools and validating AI outputs for correctness, performance, and security.
- Financial services industry experience.
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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