JPMorgan Chase
Lead Software Engineer - AI & Machine Learning
OH · Full-time · Posted Oct 6, 2026
- Experience
- 5+ years applied experience.
- Education
- Formal training or certification on software engineering concepts.
About the job
Leads enterprise adoption of responsible AI, machine learning, and intelligent automation by setting standards, governance, and reusable engineering patterns across teams.
What you'll do
- Align engineering, product, and business teams on AI adoption and Center of Excellence standards.
- Define and maintain reference architectures, implementation patterns, shared tooling, and reusable capabilities.
- Establish Responsible AI governance and advise teams on secure, resilient implementation and validation of AI-enabled solutions.
What they ask for
- Formal training or certification in software engineering concepts and 5+ years of applied experience.
- Ability to influence senior stakeholders across multiple teams and experience operating in an enterprise enablement or center of excellence model.
- Strong understanding of AI/ML, generative AI, NLP, intelligent automation, and modern engineering practices.
- Experience with enterprise-scale cloud architectures, APIs, microservices, and integration patterns, and with establishing Responsible AI governance and safe AI-assisted development practices.
Nice to have
- Experience developing reusable AI-enabled automation architectures and building communities of practice.
- Familiarity with large-scale data pipelines and adoption metrics or lightweight governance mechanisms.
Tools
AI/machine learning, generative AI, large language models, small language models, natural language processing, cloud, APIs, microservices
AI focus
Enables enterprise adoption and governance of responsible AI, machine learning, generative AI, and intelligent automation; promotes authorized AI-assisted software development and validation practices.
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