Head of AI Engineering

Role Overview

The Head of C&MI AI Engineering acts as a credible and trusted advisor, educating others internally and externally, and leads the engineering organization to deliver AI‑driven solutions.

Key Responsibilities

• Execute AI Spectrum engineering strategy
• Ensure timely delivery of roadmap and transparency into status
• Lead and manage an engineering organization, ensuring the optimal structure to deliver portfolio offerings
• Align with CTO and Engineering peers on technology strategy, tooling selection, and innovation aspects
• Coach and develop engineering leaders and experts within the team
• Create objectives and development plans in line with C&MI strategy and portfolio
• Build a strong engineering culture of continuous learning, automation by design, and AI‑driven practices
• Liaise with partner product organization for co‑engineering and early technology adoption
• Act as ambassador of Atos SAFe process within the organization
• Take responsibility for adoption of Delivery units and successful handover/enablement
• Engage with GEOs/regions as needed to boost adoption
• Support on‑demand customer engagements where deep product expertise is essential

Qualifications & Experience

• Experience in building and deploying AI/Agentic solutions
• Natural leader with high EQ
• Experience with software development lifecycle (SDLC), methods and processes
• Ability to collaborate with various internal stakeholders and external partners

Scope / Collaborations

• C&MI Portfolio: Receive requirements and align roadmap with portfolio needs
• C&MI Engineering peers: Align on common way of working and architecture
• C&MI CTO: Review strategy and long‑term roadmap; support technology evaluation
• Alliances: Support portfolio in aligning on key partner priorities and driving innovation and co‑engineering themes
• GEO and GDCs: Support the enablement and adoption process of cloud offerings; work in a joint venture setup where appropriate

Success Indicators

• R&D Budget
• Engineering quality KPIs
• Talent acquisition and retention

Core Competencies

• Strategic thinking and execution: Setting a clear technology direction and translating it into concrete actions.
• Change and innovation leadership: Driving technology transformation and fostering innovation, AI, and automation across services.
• Collaboration and stakeholder alignment
• Result orientation
• People leadership

EEO Statement

Here at Atos, diversity and inclusion are embedded in our DNA. We are an equal opportunity employer committed to a fair work environment for all.

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