Lead Software Engineer - AI and Automation

Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You’ll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.

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 - AI and Automation at JPMorgan Chase within the Corporate Technology - Infrastructure Management AI and Automation Solutions Engineering team, you are an integral part of an agile software engineering team that works to design, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting 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 ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• 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.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• 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
• Owns the full software lifecycle for multiple automation/AI initiatives: design, implementation, testing, deployment, and production support
• Develops services and workflows that integrate with infrastructure platforms and operational tooling (APIs, events, job runners, control planes) 
• Engineers agentic AI solutions that safely automate tasks (tool use, workflow execution, validation, guardrails, fallbacks) 
• Defines and implement observability (metrics, logs, traces), SLOs, alerting, and incident playbook 
• Acts as a technical advisor across the team: architecture reviews, design decisions, and tradeoff discussions

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): Python, JavaScript/Typescript, Go, or SQL
• 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
• Strong proficiency in Python and experience building services and automation frameworks; working knowledge of JavaScript for tooling/UI/integrations
• Strong SQL skills and experience designing data models and working with relational databases
• Hands-on experience deploying and operating workloads on Kubernetes (deployments, services, scaling, configuration, troubleshooting)
• Demonstrated technical leadership as a senior IC (leading designs, driving delivery, and influencing across teams).
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• SRE and/or DevOps experience, including production operations, incident response, and reliability engineering practices
• Experience building automation for infrastructure/operations (orchestration, remediation, self-service, runbooks-as-code)
• Experience with agentic AI frameworks and model-to-tool integration patterns (prompt/tool design, structured outputs, evaluation/monitoring)
• Familiarity with MCP and building secure tool servers/connectors; strong understanding of access controls and auditability in tool execution
• Experience with event-driven architectures and workflow engines
• Prior experience in regulated environments with strong risk and control expectations