AI Governance Engineer: Policy-as-Code & Controls

Luxoft

Wilmington (DE)

On-site

USD 140,000 - 190,000

Full time

14 days+

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Job summary

Luxoft is seeking an AI Governance Engineer to implement, audit, and automate our AI standards and controls. You will draft standards, map controls to evidence, and produce audit-ready documentation, working with platform capabilities such as gateway policies, logging, and IAM.

The role involves building verifiable requirements for model access, oversight, and logging, plus contributing to policy-as-code and governance automation with the AI/Controls teams.

Qualifications

  • 5+ years in tech governance, risk/controls, or compliance engineering.
  • Experience writing technical standards mapped to regulatory or policy obligations.
  • Technical knowledge of cloud platforms, APIs, RBAC, logging and monitoring.
  • Familiarity with AI/GenAI systems for enforceable requirements.
  • Strong writing and audit-ready documentation discipline.
  • Experience with GRC processes: exceptions, findings, evidence, remediation.

Responsibilities

  • Draft and iterate the AI standards library under the Lead's direction.
  • Engineer each control as a testable requirement with owners and evidence.
  • Build obligation-to-control-to-evidence mappings against guidance.
  • Contribute to policy-as-code and controls automation with platform teams.
  • Produce evidence artifacts and assessment documentation for reviews.

Skills

Governance engineering
Standards writing
Cloud platforms
APIs & gateways
RBAC & IAM
Logging & monitoring
Policy-as-code
GRC processes
Technical writing
GenAI governance

Job description

Luxoft is seeking an AI Governance Engineer to implement, audit, and automate our AI standards and controls. You will draft standards, map controls to evidence, and produce audit-ready documentation, working with platform capabilities such as gateway policies, logging, and IAM.

The role involves building verifiable requirements for model access, oversight, and logging, plus contributing to policy-as-code and governance automation with the AI/Controls teams.

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