Define governance gates and evidence requirements across the AI lifecycle, including use-case approval, data readiness, model validation, security testing, deployment, monitoring, change management and retirement
This role has no fixed boundaries. You may shape product definitions, build solutions hands‑on, or support client go‑live — depending on project phase and your strengths. We use the title AI Builder because we seek individuals who can own and deliver an end‑to‑end initiative with the power of AI.
The role supports the Lead AI Platform Engineer and development teams in delivering trusted agent identities, secure interactions and enterprise agent registry capabilities. It covers implementation, testing, troubleshooting, deployment and operational support for assigned platform services, working with internal staff, offshore engineers, vendors and other platform teams.