# Atos — Head of Artificial Intelligence Practice

- Generated: 2026-08-25 06:38:37 PM EDT
- Original/canonical posting: https://jobright.ai/jobs/info/6a5600b421f64463ad351872
- Jobright source: https://jobright.ai/jobs/info/6a5600b421f64463ad351872
- Posted: 2026-08-10 09:54:28 AM EDT
- Valid through: 2026-09-10 09:54:28 AM EDT
- Applicants: Not disclosed
- Work model/location: Remote, United States
- Employment type: FULL_TIME
- Compensation: Not disclosed; Head title qualifies for review
- Travel: Not disclosed
- Positioning track: Executive leader
- Fit outcome: FAIL — 72%

## Direct-match strengths

AI practice building, enterprise consulting, delivery, responsible AI, team development, and executive advisory are strong.

## Hard or material gaps

Hard functional conflict: pipeline, bookings, P&L, revenue growth, pricing, complex pursuits, and co-sell motions are central and outside Keith's target scope.

## Evidence map

1. AI practice strategy — 3/3: Direct.
2. End-to-end AI delivery — 3/3: Direct.
3. Multidisciplinary leadership — 3/3: Direct.
4. Responsible AI — 3/3: Direct.
5. Enterprise consulting — 3/3: Direct.
6. P&L, pipeline, pricing, co-sell — 0/3: Unsupported central mandate.

## Full normalized job description

Note: The job is a remote job and is open to candidates in USA. Atos Group is a global leader in digital transformation, and they are seeking a Head of Artificial Intelligence Practice for North America. This executive role will lead strategy, growth, and delivery excellence for the AI portfolio, managing practice P&L and building scalable offerings.
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
Skills
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
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
Company Overview
Atos provides consulting services and solutions, ranging from supporting strategy development to enterprise solutions and technology. It was founded in 1982, and is headquartered in Bezons, Ile-de-France, FRA, with a workforce of 10001+ employees. Its website is http://atos.net.

## Artifact metadata

- Resume and cover letter: Not generated under the fit gate.
- Google Drive used: No