# Atos — Head of AI - Generated: 2026-09-24 01:54:41 PM EDT - Original/canonical posting: https://jobs.atos.net/job/Remote-Home-Head-of-AI/1370764933/ - Provider: Jobright - Posting time: April 26, 2026 at 8:00 PM ET - Applicants: Not disclosed - Work model/location: Remote — United States - Compensation: Not disclosed; Head title qualifies for consideration, but independent hard functional gaps remain - Travel: Not disclosed - Positioning track: Executive leader - Fit outcome: FAIL — 72% ## Evidence map and direct-match strengths AI practice strategy, enterprise consulting, production delivery, responsible AI, team development, executive advisory, reusable accelerators, and cross-industry architecture are relevant. ## Hard or material gaps Hard functional conflict: owning AI-services pipeline and bookings, pricing models, P&L/financial performance, strategic pursuits, sales alliances, and co-sell motions is central to the mandate and conflicts with Keith's no-GTM target. ## Full normalized job description Note: The job is a remote job and is open to candidates in USA. Atos is a global digital transformation company providing AI-powered, end-to-end solutions across industries. The Head of Artificial Intelligence Practice leads the North America AI strategy, portfolio growth, delivery excellence, talent development, governance, and financial performance across the United States and Canada. 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 * Strategic leadership and business building * Consultative selling and executive stakeholder management * AI engineering rigor and delivery governance * Productization mindset (offerings, accelerators, repeatability) * Talent development and organizational design * Cross-functional collaboration in matrix environments * Strong communication: narrative building, proposals, and presentations * Cloud: AWS, Microsoft Azure, Google Cloud Platform * AI/ML: Agentic AI, Python, PyTorch/TensorFlow, scikit-learn, MLflow (or equivalent), feature stores * GenAI: LLM APIs and platforms, prompt engineering, RAG patterns, evaluation frameworks, guardrails * Data: SQL, modern data warehouses/lakehouse platforms, streaming where needed * MLOps/LLMOps: CI/CD for models, monitoring/observability, model registry, governance tooling * Remote or hybrid within North America; may require proximity to major client hubs * Travel expectation up to 25–40% based on client needs and business development cycles * This role may require occasional work outside standard business hours to support executive meetings across time zones * 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. 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.