Head of AI Engineering

About the Role
Engineering leader for a mission to take us to fully autonomous managed services through the development of Digital Engineer. Leading the way in agentic transformation of our global business lines, including AI SDLC and the SAFe way of working. Part of the engineering leadership organization. The Head of C&MI AI Engineering acts as a credible and trusted advisor, someone who can educate others.

This role is both internally and externally oriented, combining deep technology and portfolio knowledge, people management, and alignment with other internal stakeholders.

Key Responsibilities

Execute AI Spectrum engineering strategy

Ensure timely delivery of roadmap and transparency into the 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

Liaise with partner product organization for co-engineering and early technology adoption

Be the 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

Software development background

Natural leader with high EQ

Experience with software development lifecycle (SDLC), methods and processes

Ability to collaborate with various internal stakeholders and external partners

Strong global Growth / Portfolio experience

Scope/Collaborations

C&MI Portfolio: receive requirements and align roadmap with

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

Roadmap delivery

Engineering quality KPIs

AI adoption in engineering

Talent acquisition and retention

Leadership 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

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