3 weeks ago

Senior AI Governance Engineer

TomTom

Amsterdam

3 weeks ago

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TomTom seeks a Senior AI Governance Engineer to own the technical governance of generative AI and machine learning tools across the enterprise. This high-impact, hands-on role sits at the intersection of software engineering, security, compliance, and AI. The candidate will translate complex policies into practical guardrails, evaluate and onboard new AI capabilities safely, and ensure developers can move fast without breaking regulations.

AIHybridFull-timeSeniorSoftware EngineeringCI/CD

Senior AI Governance Engineer

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AIHybridFull-timeSeniorSoftware Engineering

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid: 2 days per week in office, 3 days remote

Employment Type

Full-time

Experience Level

Senior

Core Qualifications

Technical (Must-have)

software engineeringCI/CDAPIsLLMsembeddingsvector storesRAGmodel endpointsagentsorchestration toolsAzureAWSIAMRBACABAC

Soft Skills

cross-functional collaborationcommunication

Preferred Qualifications

Technical (Nice-to-have)

prompt engineeringred-teamingenterprise AI orchestration platformspolicies-as-codeinfrastructure-as-code

Key Responsibilities

•Design, implement, and maintain the technical governance framework for all GenAI/LLM tools and integrations.
•Evaluate, approve, onboard, monitor, and retire third-party and open-source AI tools (LLMs, vector databases, agents, orchestration platforms, etc.).
•Build and operate usage monitoring, cost tracking, compliance dashboards, and automated audit trails.
•Create lightweight, developer-friendly processes for tool requests, risk assessments, exceptions, and approvals.
•Partner with Legal, Security, Compliance, Procurement, and Engineering to translate policies into enforceable technical controls.
•Identify and mitigate AI-specific risks such as prompt injection, data leakage, model misuse, and training-data exposure.
•Develop and deliver training, playbooks, workshops, and documentation.
•Stay ahead of evolving regulations, new attack vectors, and model capabilities.
•Continuously optimize the balance between innovation velocity, risk, cost, and compliance.

SeniorAI GovernanceGenAILLMMachine LearningCloudAzureAWSComplianceSecurity

Key Responsibilities

•Design, implement, and maintain the technical governance framework for all GenAI/LLM tools and integrations.

•Evaluate, approve, onboard, monitor, and retire third-party and open-source AI tools (LLMs, vector databases, agents, orchestration platforms, etc.).

•Build and operate usage monitoring, cost tracking, compliance dashboards, and automated audit trails.

•Create lightweight, developer-friendly processes for tool requests, risk assessments, exceptions, and approvals.

•Partner with Legal, Security, Compliance, Procurement, and Engineering to translate policies into enforceable technical controls.

•Identify and mitigate AI-specific risks such as prompt injection, data leakage, model misuse, and training-data exposure.

•Develop and deliver training, playbooks, workshops, and documentation.

•Stay ahead of evolving regulations, new attack vectors, and model capabilities.

•Continuously optimize the balance between innovation velocity, risk, cost, and compliance.