Principal AI Governance & Systems Engineer
Role : Principal AI Governance & Systems Engineer
Education
- BSc / MS in Computer Science, Software Engineering, or Electrical / Computer Engineering.
- Bonus : coursework in cryptography, distributed systems, or applied statistics.
- 7–12 years building backend services or platforms at scale.
- 3+ years with GPU-accelerated ML systems or model serving.
- 3+ years securing production APIs (authN / Z, mTLS, RBAC / ABAC, rate limiting).
- Delivered at least one enterprise product in a regulated environment (finance, health, healthcare, public sector).
- Led cross-functional delivery from prototype to demo to pilot.
Knowledge
Backend stacks : Python / FastAPI or Go / Node; Docker / Kubernetes; CI / CD.Security : OAuth2 / OIDC, JWT, mTLS, KMS / HSM key management, audit logging.Cryptography basics : signing, hashing, integrity chains; supply-chain signing / SBOM.Data and messaging : Postgres, object storage, Kafka or equivalent queues.Observability : metrics, tracing, structured logs.Performance and capacity : load testing, profiling, cost awareness.Communication : concise documentation, demo readiness for stakeholders.Seniority level
Mid-Senior levelEmployment type
Full-timeJob function
Information TechnologyIndustries
Software Development#J-18808-Ljbffr