Senior AI/ML Engineer — Enterprise AI Enablement

JPMorganChase; Columbus (OH); Hybrid; USD 180,000 - 230,000; Full time

Job summary

JPMorganChase, within Corporate Technology and the AI/Machine Learning & Automation Center of Excellence, seeks a Lead Software Engineer to drive scalable adoption of responsible AI and intelligent automation. You will influence outcomes by defining standards, reference architectures, and governance that teams can implement consistently.

The role requires 5+ years of software engineering with AI/ML, strong collaboration across federated teams, and a focus on secure, resilient delivery.

Qualifications

• 5+ years of software engineering experience.
• Experience influencing senior stakeholders.
• Understanding of AI/ML, generative AI, and automation.
• Experience with cloud-based architectures and APIs.
• Ability to establish governance and standards in a large org.

Responsibilities

• Drive enterprise alignment and AI/automation adoption across federated teams.
• Align priorities across teams and enforce Center of Excellence standards.
• Define scalable reference architectures and implementation patterns.
• Promote reuse through shared tooling and accelerators.
• Provide advisory support to improve design and operational readiness.
• Establish Responsible AI governance across distributed teams.
• Promote secure, resilient engineering practices across cloud and APIs.
• Lead communities of practice to uplift capability.
• Encourage adoption of enterprise-authorized AI-assisted engineering practices.
• Apply SDLC tools and AI-assisted development capabilities to increase value.

Skills

AI/ML strategy

Stakeholder influence

Cloud architectures

Governance & standards

Secure coding practices

Enterprise collaboration

Job description

JPMorganChase, within Corporate Technology and the AI/Machine Learning & Automation Center of Excellence, seeks a Lead Software Engineer to drive scalable adoption of responsible AI and intelligent automation. You will influence outcomes by defining standards, reference architectures, and governance that teams can implement consistently.

The role requires 5+ years of software engineering with AI/ML, strong collaboration across federated teams, and a focus on secure, resilient delivery.