Staff Software Engineer, AI/ML

About the role

Enterprise Technology is building the core AI‑native engineering capabilities needed to improve how we design, build, test, and ship software. This role will apply AI‑assisted engineering across Enterprise Technology projects while maintaining strong quality, security, and production‑readiness standards.

Key responsibilities

• Build and ship production software, including services, APIs, data models, user interfaces, integrations, tests, and operational tooling.
• Direct AI coding agents by writing clear specifications, acceptance criteria, implementation plans, and verification steps.
• Review and own AI‑generated code, tests, pull requests, and migrations for correctness, security, maintainability, and production readiness.
• Establish repeatable AI‑assisted engineering practices and reusable delivery templates for future initiatives.
• Design and implement integration‑heavy, data‑intensive, workflow‑driven systems for enterprise applications and operational platforms.

Required profile

• 12+ years of experience building and shipping production software as a hands‑on engineer, senior IC, technical lead, or staff‑level contributor.
• Strong production experience with Python and/or TypeScript across backend, frontend, data, API, or cloud‑native systems.
• Hands‑on experience using AI coding agents or tools such as Claude Code, Google Antigravity, Codex, Cursor, or similar.
• Proven engineering judgment for reviewing AI‑generated code and determining where human oversight is required.
• Experience building or integrating services, APIs, relational data stores, event‑driven systems, and user‑facing workflows.
• Familiarity with cloud‑native development on GCP, including CI/CD, monitoring, security scanning, and cost‑aware engineering.
• Understanding of secure engineering practices, role‑based access, SSO, audit logging, and enterprise controls.
• Ability to influence technical decisions, mentor engineers, and raise quality across large system areas.

Required skills

• Python
• TypeScript
• AI coding agents (Claude Code, Google Antigravity, Codex, Cursor)
• Google Cloud Platform (GCP)
• CI/CD pipelines
• Monitoring and security scanning tools
• Relational databases and event‑driven architectures