AI Sr Lead Software Engineer

JPMorgan Chase & Co.; Columbus (OH); On-site; USD 150,000 - 210,000; Full time

Job summary

JPMorganChase in Columbus seeks a Senior Lead Software Engineer to propel an AI-enabled lending platform within a secure, scalable architecture. You will join an agile team, delivering market-leading technology products and guiding best practices across engineering disciplines.

You will drive AI-assisted features, coordinate across departments, mentor engineers, and govern AI practices while ensuring secure coding, performance, and reliability in production systems.

Qualifications

• 5+ years of professional software engineering experience.
• Experience with AI coding assistants to accelerate development.
• Experience designing agentic systems (LLM-powered) in production.
• Proven track record of leading engineering teams.

Responsibilities

• Drive technical strategy and delivery of a Lending platform with AI-native features.
• Lead multiple technology implementations across departments.
• Manage stakeholders and cross-product collaborations.
• Govern AI-assisted engineering practices for secure coding, testing, and release readiness.
• Promote automated testing and code quality across teams.

Skills

AI tooling

AI coding assistants

Leadership

Distributed systems

Cloud architectures

Security controls

System design

Education

Software engineering certification

Formal software training

Tools

GitHub Copilot

Cursor

Claude

Job description

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top‑notch technology products.

As a Senior Lead Software Engineer at JPMorganChase within the Consumer & Community Banking Small Business Lending Team, 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem‑solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities

• Drive the technical strategy and delivery of a Lending platform, embedding AI‑native capabilities (agentic workflows, LLM‑powered features) into core product experiences.
• Leads multiple technology implementations across departments to achieve firmwide technology objectives.
• Directly manages multiple areas with strategic transactional focus.
• Acts as the primary interface with senior leaders, stakeholders, and executives, driving consensus across competing objectives.
• Manage multiple stakeholders, complex projects, and large cross‑product collaborations.
• Influences peer leaders and senior stakeholders across the business, product, and technology teams.
• Drives adoption and governance of approved AI‑assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI‑assisted code review/refactoring, test acceleration, release readiness, incident/root‑cause analysis), while establishingmeasurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI‑assisted development and automation capabilities, to improve the value realized by automation at scale
• Adds to the 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
• Proven track record using AI coding assistants (GitHub Copilot, Cursor, Claude, etc.) to accelerate development cycles, and ability to coach teams to adopt these tools as standard practice.
• Experience designing and deploying agentic systems (e.g., LLM‑powered agents, multi‑step reasoning workflows, tool‑using AI) in production environments.
• Drives adoption of an AI‑augmented engineering culture—setting standards, running experiments, and building team confidence as tooling and best practices evolve in real time.
• Deep expertise in system design, application development, testing, and operational stability for commercially used platformsweb and/or mobile.
• Deep expertise in building and operating large scale high performance digital applications (web and/or mobile) with distributed systems and cloud technologies (AWS, GCP, Azure, etc.)
• Deep expertise with enterprise design patterns and industry best practices with experience using modern technologies and design patterns (e.g., micro services, APIs, etc.)
• Experience with building, leading and mentoring technology teams, and next level leaders within the organization.
• Experience with implementing industry standard cybersecurity & technology controls.

• Demonstrated experience leading effective use of enterprise‑authorized AI‑assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and

Preferred qualifications, capabilities, and skills

• Experience leading engineering culture transformation initiatives, particularly dirving adoptio of AI tooling, new development workflows or technical practice changes across distributed teams. Strong experience with Cloud providers (AWS, GCP, Azure)
• Strong experience with Cloud providers (AWS, GCP, Azure)