Lead Software Engineer - Agentic AI

As a Lead Software Engineer at JPMorganChase with in Enterprise Technology Cloud Foundational Services, you are an integral part of an agile team that works to enhance, build, and deliver trusted, market-leading technology products 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.

• Execute creative software solutions, design, development, and technical

troubleshooting, thinking beyond routine or conventional approaches to build solutions or break down technical problems.

• Deliver end-to-end solutions in the form of cloud-native, microservices-based

applications, leveraging the latest technologies and best industry practices.

• Design, develop, and deploy resilient, fault-tolerant applications on AWS,

leveraging services such as ECS, EKS, Lambda, RDS, S3, and API Gateway to ensure high availability and operational excellence.

• Provision, manage, and maintain cloud infrastructure using Terraform,

enforcing infrastructure-as-code best practices, reusable module design, and consistent environment management across development, staging, and production.

• Architect and build agentic AI applications using modern frameworks (e.g.,

LangChain, LangGraph, AutoGen, CrewAI, or AWS Bedrock Agents), enabling autonomous, multi-step reasoning and tool-use capabilities within production-grade systems.

• Identify opportunities to eliminate or automate remediation of recurring

issues to improve overall operational stability of software applications and systems.

• 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.

• Lead communities of practice across Software Engineering to drive awareness

and use of new and leading-edge technologies.

• Promptly investigate and resolve issues, ensuring they do not resurface.
• Design and build scalable, secure, and reliable solutions by leveraging

modern architectural patterns that ensure zero-downtime releases and optimize data performance.

• Formal training or certification on software engineering concepts and 5+

• Strong soft skills, including presentation, negotiation, mentoring, and

stakeholder management.

• Strong problem-solving, analytical, and communication skills.
• Ability to drive broader impact by sharing and contributing best practices.
• Experience in the banking domain.
• AWS certification (e.g., AWS Certified Solutions Architect –

Associate/Professional, AWS Certified DevOps Engineer, or AWS Certified Machine Learning – Specialty).

• Experience with AWS CDK or CloudFormation as complementary infrastructure

tooling alongside Terraform.

• Familiarity with LLM evaluation frameworks, prompt engineering, and

responsible AI practices in the context of agentic system design.

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.

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.

• 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

• Proficiency in back-end technologies (e.g., Python, Flask, Django) with

experience building microservices-based applications; for full-stack roles, proficiency also includes front-end technologies (e.g., HTML, CSS, JavaScript, TypeScript, React, Angular).

• Strong hands-on experience developing and deploying resilient applications on

AWS, including deep familiarity with core AWS services, high-availability design patterns, disaster recovery strategies, and AWS Well-Architected Framework principles.

• Strong understanding and hands-on experience in cloud infrastructure

provisioning using Terraform, including writing modular, reusable infrastructure-as-code, managing remote state, and integrating Terraform into CI/CD pipelines.

• Hands-on experience building agentic AI applications using one or more

frameworks (e.g., LangChain, LangGraph, AutoGen, CrewAI, AWS Bedrock Agents), including designing multi-agent workflows, tool integrations, memory management, and orchestration patterns.

• Experience working with cloud platforms (e.g., AWS, Azure, GCP), distributed

systems, and web technologies, including RESTful APIs and web services, WebSockets, and JSON.

• Experience with agile development methodologies (e.g., Scrum) and an

understanding 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, mobile, etc.).

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