Enterprise AI & Automation Lead - Standards & Reuse

JPMorgan Chase & Co.; United States; Presencial; USD 140.000 - 210.000; Jornada completa

Descripción de la vacante

JPMorganChase is seeking a Lead Software Engineer within Corporate Technology to drive scalable adoption of responsible AI and intelligent automation by defining standards, reference architectures, and governance for consistent delivery across federated teams.

You will influence senior stakeholders, promote shared tooling, and lead communities of practice to uplift capabilities and improve code quality, security, and time-to-market in a large enterprise environment.

Formación

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Demonstrated ability to influence and align senior stakeholders across multiple teams in a large, complex organization without direct authority.
• Experience operating within an enterprise enablement function or center of excellence model, focused on standards, governance, and scaled adoption.
• Strong understanding of AI/machine learning, generative AI, NLP, and intelligent automation concepts, with emphasis on enablement over direct model ownership.
• Solid grounding in modern engineering practices, including software development life cycle, scalable system design, and operational resilience.
• Experience designing or governing cloud-based architectures leveraging APIs, microservices, and integration patterns at enterprise scale.
• Proven ability to define and embed Responsible AI governance across distributed teams, including bias mitigation, data quality, and lifecycle management practices.
• Demonstrated experience leading effective use of approved AI-assisted software development tools 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.

Responsabilidades

• Drive enterprise alignment and adoption of AI/machine learning and intelligent automation by partnering with engineering, product, and business teams to embed consistent approaches into delivery roadmaps.
• Influence cross-functional stakeholders to align priorities across federated teams, reduce fragmentation, and drive adherence to Center of Excellence frameworks and standards.
• Define, maintain, and evolve scalable reference architectures, implementation patterns, and standards that accelerate adoption while remaining practical for delivery teams.
• Enable reuse at scale by promoting shared tooling, accelerators, and reusable capabilities that improve time-to-market and consistency.
• Provide advisory support and constructive challenge to delivery teams to strengthen design decisions, implementation quality, and operational readiness of AI-enabled solutions.
• Establish and reinforce Responsible AI governance across distributed teams, including practices for ethical AI use, bias mitigation, data quality, and lifecycle management.
• Promote secure, resilient, and scalable engineering practices aligned to enterprise architecture expectations across cloud, APIs, and integration patterns.
• Lead and contribute to a community of practice to uplift capability, share patterns, and drive continuous improvement across teams.
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards and promoting pattern reuse across the team.
• Applies knowledge of tools within the SDLC toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve value realized by automation.

Conocimientos

Influence senior stakeholders

Enterprise enablement

AI/ML enablement

Cloud architectures

APIs & microservices

Governance & ethics

Secure coding practices

Tooling for AI-assisted development

Leadership & coaching

Educación

Software engineering certification

Descripción del empleo

JPMorganChase is seeking a Lead Software Engineer within Corporate Technology to drive scalable adoption of responsible AI and intelligent automation by defining standards, reference architectures, and governance for consistent delivery across federated teams.

You will influence senior stakeholders, promote shared tooling, and lead communities of practice to uplift capabilities and improve code quality, security, and time-to-market in a large enterprise environment.