AI Engineering Leader: Build Autonomous AI Platforms in London

AI Engineering Leader: Build Autonomous AI Platforms in London

London Full-Time 81000 - 99000 Β£ / year (est.) No working from home possible
Atos

At a Glance

  • Tasks: Lead AI engineering initiatives and shape technology strategy for autonomous platforms.
  • Company: Atos, a leader in tech innovation and automation.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Join a dynamic team focused on fostering an engineering culture.
  • Why this job: Drive innovation in AI and make a significant impact on cloud initiatives.
  • Qualifications: Strong leadership skills and deep knowledge in AI and technology strategy.

The predicted salary is between 81000 - 99000 Β£ per year.

Atos is seeking a Head of C&M I AI Engineering to act as a credible advisor with deep technology and portfolio knowledge.

The role combines internal leadership and external engagement, shaping technology strategy, oversight of delivery, and fostering an engineering culture focused on automation and AI adoption.

You will lead with strategic thinking, drive innovation across services, and align with global stakeholders to support cloud initiatives and co-engineering efforts.

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AI Engineering Leader: Build Autonomous AI Platforms in London employer: Atos

Atos is an exceptional employer that prioritises innovation and strategic leadership within the National Security, Safety and Energy sectors. With a strong commitment to employee growth, a collaborative work culture, and comprehensive benefits including a pension scheme and medical cover, Atos provides a rewarding environment for professionals looking to make a significant impact in their field. Located in the UK, this role offers unique opportunities to influence industry trends and drive technological advancements.

Atos

Contact Details:

Atos Recruitment Team

We think you need these skills to ace AI Engineering Leader: Build Autonomous AI Platforms in London

Leadership
Technology Strategy
AI and Automation Expertise
Stakeholder Engagement
Innovation Management
Cloud Initiatives
Co-engineering