Responsibilities
- Define and maintain the technical standards, architectural patterns, and tooling strategies that guide how engineering teams incorporate AI across the codebase, balancing investments in system readiness with targeted code rewrites.
- Lead the execution of a phased AI transformation roadmap—covering readiness, validation, and governance—across key code repositories in collaboration with squad leads, without formal managerial authority.
- Determine necessary AI platform capabilities, including agent infrastructure and evaluation systems, and either build or oversee development of missing components.
- Establish policies and technical safeguards to determine appropriate levels of human oversight versus autonomous AI actions, balancing speed of adoption with risk management in areas like code review and deployment.
- Create and enforce practical engineering standards for AI use, including documentation conventions, code review practices, and evaluation criteria, ensuring real adoption beyond publication.
Work Arrangement
Remote (Worldwide) — United States, Canada, Mexico
Team
Engineering team
Other
- Professional-level English proficiency is required for all roles.
- All resumes and application responses must be submitted in English.
- The organization operates an open platform serving diverse viewpoints; candidates should be comfortable working in an environment where they may encounter opinions or campaigns that conflict with their personal beliefs.
- The company is an equal opportunity employer and evaluates all applicants based on qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, veteran status, disability, age, or other legally protected characteristics.
- Reasonable accommodations are available for candidates with disabilities during the hiring process.
- Collection of demographic data is optional, anonymous, and not considered in hiring decisions.
- The company participates in the E-Verify program.
