# Atos — Head of Artificial Intelligence Practice

- Generated: 2026-08-20 02:56:51 PM EDT
- Original/canonical posting: https://jobright.ai/jobs/info/6a7bfbf27c52154b59f58e4e
- Jobright source: https://jobright.ai/jobs/info/6a7bfbf27c52154b59f58e4e
- Posted: 2026-08-12 12:52:02 AM EDT
- Valid through: 2026-09-12 12:52:02 AM EDT
- Applicants: Not disclosed
- Work model/location: Remote within the United States; posting also mentions possible client-hub proximity
- Employment type: FULL_TIME
- Compensation: Not disclosed
- Travel: Not disclosed
- Positioning track: Executive leader
- Fit outcome: FAIL — 72%

## Direct-match strengths

AI practice building, enterprise consulting, delivery, responsible AI, and team development

## Hard or material gaps

Duplicate of Jobright record 6a5600b421f64463ad351872. Hard GTM/P&L conflict remains: pipeline, bookings, pricing, revenue, margins, and co-sell motions are central.

## Evidence map

1. AI practice strategy — direct NorthBay, AWS, and IDW evidence.
2. End-to-end AI delivery — direct production evidence.
3. Multidisciplinary team leadership — direct.
4. Responsible AI — direct.
5. Enterprise consulting — direct through 200+ AWS customers.
6. P&L and sales ownership — unsupported central mandate and hard failure.

## 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, providing AI-powered, end-to-end solutions across industries through its Atos and Eviden brands. The Head of Artificial Intelligence Practice for North America leads AI strategy, growth, delivery excellence, talent, and practice P&L across the United States and Canada. The role oversees AI offerings spanning GenAI, machine learning, data science, AI platforms, MLOps, governance, customer outcomes, and responsible AI.
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 ulitization 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
Benefits
Remote or hybrid within North America; may require proximity to major client hubs.
Career paths and mentorship.
Training programs, communities of practice, and internal enablement.
A culture of engineering rigor, responsible AI, collaboration, and continuous learning.
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