Head of AI

Atos • Remote Home, OR

11d • Hybrid

About The Position

Atos Group is a global leader in digital transformation with approximately 67,000 employees and annual revenue of around €10 billion, operating in 61 countries. The company functions under two brands: Atos for services and Eviden for products. Atos Group is a European leader in cybersecurity, cloud, and high-performance computing, dedicated to a secure and decarbonized future. They provide tailored, AI-powered, end-to-end solutions for all industries. Atos Group is the operational brand for Atos SE, which is listed on Euronext Paris. The group's purpose is to help design the future of the information space, supporting knowledge, education, and research development with a multicultural approach and contributing to scientific and technological excellence. Globally, Atos Group enables its customers, employees, and society at large to live, work, and develop sustainably within a safe and secure information space.

Requirements

• 15+ years of experience in technology consulting, product engineering, or enterprise technology leadership, with 8+ years in AI/ML/GenAI leadership.
• Proven track record building and scaling an AI practice or portfolio with P&L responsibility and measurable revenue growth.
• Strong understanding of modern AI stack: GenAI (LLMs), Agentic AI, ML, data engineering, AI platforms, MLOps/LLMOps, and cloud services (AWS/Azure/GCP).
• Demonstrated experience delivering AI solutions end-to-end: discovery to production, monitoring, and continuous improvement.
• Executive presence with ability to influence EVP-level stakeholders and lead complex deal pursuits.
• Experience leading multi-disciplinary teams (AI Architects, AI Engineers, data scientists, ML engineers, architects, product managers, delivery leaders).
• Knowledge of responsible AI, security, and privacy requirements for enterprise AI implementations.

Nice To Haves

• Experience in IT services/consulting organizations operating with global delivery models (onshore/nearshore/offshore).
• Domain expertise in one or more regulated industries (financial services, healthcare, telecom, government).
• Partnership experience with hyperscalers and AI platform vendors; co-sell and alliance management success.
• Hands-on experience with AI solution architecture, including retrieval-augmented generation (RAG), vector databases, and agentic workflows.
• Advanced degree in Computer Science, Engineering, Data Science, or related field; MBA a plus.

Responsibilities

• Define the North America AI practice strategy aligned to corporate goals and market demand.
• Build and maintain a 12–24 month capability roadmap across GenAI, Agentic AI, applied ML, AI engineering, MLOps, and AI governance.
• Identify strategic bets (industries, partnerships, platforms) and prioritize investments for impact and scale.
• Lead the delivery team for AI across NA including building and managing talent and ensuring utilization targets for the team.
• Support Head of Advisory and Global Teams with packaged offerings and accelerators (POCs-to-production playbooks, reference architectures, reusable components).
• Work with Head of Innovation industry-specific solutions (e.g., banking, retail, healthcare, telecom, public sector) with measurable outcomes.
• Represent the company externally through speaking, publishing, analyst briefings, and customer success stories.
• Own pipeline and bookings targets for AI services in North America; partner with sales, alliances, and marketing.
• Help represent the solutioning for strategic pursuits, including executive-level proposal narratives, value cases, and pricing models.
• Help support the partner ecosystem with hyperscalers and AI platform vendors; drive co-sell motions where applicable.
• Ensure high-quality delivery across AI engagements, with strong governance, risk management, and stakeholder communication.
• Standardize delivery methodology for AI programs (discovery, prototyping, productionization, monitoring, continuous improvement).
• Drive customer adoption, measurable business value, and referenceability through disciplined success management.
• Build and scale a high-performing AI team: hiring plans, skills frameworks, career paths, and mentorship.
• Upskill broader delivery teams through training programs, communities of practice, and internal enablement.
• Foster a culture of engineering rigor, responsible AI, collaboration, and continuous learning.
• Establish responsible AI standards (privacy, security, bias mitigation, explainability, model risk management).
• Partner with security, legal, and compliance teams to ensure AI solutions meet client and regulatory requirements.
• Define and monitor AI practice quality standards, including data governance, model lifecycle controls, and audits.
• Help support the Head of Data and AI P&L: revenue, gross margin, utilization, bench, subcontractor mix, and investment planning.
• Set operating rhythm: QBRs, forecast accuracy, capacity planning, and delivery health dashboards.
• Optimize delivery model (onshore/nearshore/offshore) to meet client needs and margin targets.

Benefits

• The organization is an equal opportunity employer.
• We celebrate diversity and are committed to creating an inclusive environment for all employees.
• Atos, diversity and inclusion are embedded in our DNA.
• Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria.

What This Job Offers

• Job Type: Full-time
• Career Level: Executive