AI Governance and Platform Lead

Atos is hiring an AI Governance and Platform Lead. Level rates it ; you can apply on Atos.

Level's read on this job

Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions Claude, Anthropic and Copilot among its tools and skills.
Level classes it as a lead role.
Atos has 609 other open roles on Level.
Posted within the past two weeks.

AI in this role

claudeanthropiccopilotbedrockvertex-ai

ai-agentsml-ops

Who we are.

We are a team of passionate experts with a clear ambition: applying digital technology to advance what matters for our clients and society.

Together we create reliable and responsive digital foundations for the world’s businesses, institutions, and communities.

Learn more on Advancing what matters.

Atos is hiring an AI Governance and Platform Lead to own the governance, security, and Polaris-integration layer of the Belgium AI delivery practice. The role drives AI maturity assessments across the project portfolio, leads the integration of Atos Polaris tools such as Digital Engineer, Digital Transformation Engineer, and Quality Engineer into delivery teams, and owns guardrail advisory for every AI system that goes to production.

Key Responsibilities

Drive AI maturity assessments across the Belgium project portfolio and feed results into the pattern library and risk-gate process.
Lead the integration of Atos Polaris tools into delivery workflows, including reusable patterns, configuration baselines, and tenancy boundaries.
Own governance and security baselines for AI projects, including EU AI Act, ISO/IEC 42001, DORA, NIS2, GDPR, IAM, encryption, network controls, and data residency.
Define and advise on AI guardrails such as PII redaction, prompt-injection defence, refusal classifiers, content moderation, jailbreak detection, and out-of-scope routing.
Run the AI incident-response playbook and maintain the model and prompt registry, AI risk register, and reporting posture.
Partner with the Lead AI Engineer and AI Delivery Enablement Lead to align governance and security requirements with delivery needs.

Required Qualifications

Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Engineering, or a related field, or equivalent senior experience.
6+ years of experience in AI Ops, MLOps, LLMOps, cloud security, or AI governance roles.
3+ years of hands-on experience operating production AI systems, including at least one LLM or generative-AI deployment.
Experience integrating an enterprise AI or agent platform into client delivery, preferably Atos Polaris or similar platforms.
Strong knowledge of EU AI Act, ISO/IEC 42001, DORA, NIS2, GDPR, AI guardrails, and enterprise security practices.
Experience running risk assessments and architecture reviews as a standing process.
Strong written communication skills.

Preferred Qualifications

ISO/IEC 42001 Lead Implementer or Lead Auditor, IAPP AIGP, or equivalent AI governance certification.
Cloud security certifications such as AWS Security Specialty, Azure Security Engineer, or GCP Professional Cloud Security Engineer.
Hands-on experience with Atos Polaris and at least two of its named agents.
Experience with AI red-team or adversarial testing, AI observability tooling, public writing, talks, or open-source contributions related to AI guardrails, governance, or operational risk.

Technical Skills

AI platforms: Atos Polaris, Microsoft Copilot Studio and Agent 365, AWS Bedrock AgentCore, Google Vertex AI Agent Builder, and Anthropic Claude.
Guardrails: PII redaction, prompt-injection defence, refusal classifiers, content moderation, jailbreak detection, out-of-scope routing, and related tooling.
Governance and security: EU AI Act, ISO/IEC 42001, DORA, NIS2, GDPR, IAM, zero-trust, secrets management, encryption, network segmentation, and data residency.
Observability and cloud: OpenTelemetry, Langfuse, Arize Phoenix, AWS, Azure, GCP, and sovereign EU stacks as a plus.
Engineering: working-level Python and at least one of TypeScript or Go; comfortable with code review.

Learn more about us:

At Atos, we embrace diversity as the ultimate engine of ingenuity for our clients, and we constantly strive to create a culture where people feel supported and encouraged. Read more about our commitment here .

Whether it is fighting climate change, promoting digital inclusion, or ensuring trust in data management – tech for good sits at the core of our identity. With numerous global recognitions for our ESG practices, we are committed to building a better future for all by harnessing the power of technology. Learn more here .

How we rate this

AI Governance and Platform Lead at Atos rates 66 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

AI Governance and Platform Lead is an open job at Atos.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Timisoara.
The job was posted on October 14, 2026.
Seniority: lead.
Applications are handled by Atos. Apply on Atos

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsML OpsClaudeAnthropicCopilotBedrockVertex AI

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
How do you monitor a model once it's live, and how do you know it needs retraining?
What are the limits of Claude that you've run into, and how did you work around them?
What's a project where you used Anthropic hands-on?
Walk me through how you've used Copilot in your day-to-day work.

Adapt your resume

List these exact terms on your resume: AI agents, ML Ops, Claude, Anthropic, and Copilot. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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