AI Delivery Enablement Lead

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Together we createreliable and responsive digital foundationsfor the world’s businesses, institutions, and communities. 

Learn more on Advancing what matters .

About the Role

Atos is hiring an AI Delivery Enablement Lead to own the institutional memory, intake, costing, and enablement layer of the Belgium AI delivery practice. The role creates and maintains the knowledge bases that every AI project draws on, runs project intake and planning governance, owns the financial and costing model for AI work, builds the case-study library, upskills delivery teams, and tracks the KPIs that prove the practice is working.

Key Responsibilities

• Create and maintain the AI knowledge base, including ADRs, pattern playbooks, prompt libraries, evaluation-failure catalogues, decision logs, and searchable indexing.
• Run structured AI project intake, capturing scope, risk class, budget, model choice, and engagement gate.
• Maintain planning governance, including templates, dependency maps, and gate-review cadence.
• Build and maintain AI costing and financial models covering token economics, inference cost, training cost, GPU spend, license fees, and FinOps controls.
• Develop the AI case-study library and capture architecture, cost profile, evaluation evidence, and lessons learned from shipped engagements.
• Upskill delivery teams through onboarding paths, workshops, pairing sessions, and office hours.
• Define, track, and report AI KPIs related to adoption, reuse, gate coverage, time-to-productive-first-PR, project-level margin contribution, and risk-register posture.
• Partner with the AI Governance and Platform Lead and the Lead AI Engineer to keep the knowledge base aligned with current governance, model, and data realities.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Management, or a related field, or equivalent senior experience.
• 5+ years in a role combining technical depth with documentation, enablement, or programme management.
• 2+ years in or adjacent to AI, ML, or data engineering.
• Strong technical writing skills and experience building knowledge bases, internal wikis, or developer documentation.
• Experience with project intake or governance processes for technical work.
• Comfort with financial modelling, cost build-ups, sensitivity analysis, and scenario modelling.
• Strong data analysis skills using SQL, spreadsheets, and at least one BI tool. Python for analysis is a plus.
• Strong facilitation skills for workshops and enablement sessions.

Preferred Qualifications

• Experience with FinOps for AI workloads, including token economics, semantic caching, model right-sizing, and batch-versus-real-time trade-offs.
• Familiarity with EU AI Act, ISO/IEC 42001, DORA, NIS2, and GDPR documentation requirements.
• Experience with adult learning design, case-study or pattern libraries, and documentation-as-code tooling such as Docusaurus, MkDocs, Backstage, or Notion-as-system-of-record.
• Public writing or talks on AI delivery, knowledge management, or engineering enablement.

Technical Skills

• Knowledge base and documentation tools: Confluence, Notion, Backstage, Docusaurus, MkDocs, or similar, including search and retrieval design.
• Project and governance tools: Jira, Asana, Linear, or equivalent, including stage-gate and gate-review processes.
• Financial modelling and AI FinOps: advanced Excel or Google Sheets, AI cost modelling, token-cost calculators, and FinOps-for-AI principles.
• Data and analytics: SQL, spreadsheets, and at least one BI tool such as Power BI, Looker, Tableau, or Metabase; Python for analysis is a plus.
• AI and ML literacy: understanding of LLM application architecture, RAG, agent platforms, and evaluation.
• Enablement tools: learning platforms, workshop design tools, and scalable pairing models.

If you're ready to embark on this exciting adventure with us, sign in on jobs.atos.net. 

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