Business Services & Consulting • all cities, MA 20
Position: Head of Artificial Intelligence Role Summary
The Head of Artificial Intelligence Practice (North America) leads strategy, growth, delivery excellence, and talent for the AI portfolio across U.S. and Canada. This executive role owns practice P&L, builds scalable offerings (GenAI, ML, data science, AI platforms, MLOps), and partners with sales and delivery leaders to expand revenue and customer impact across industries.
Reports to: Head of Data & AI - North America
Direct reports: AI practice leadership team (solution leads, delivery leaders, architects), plus dotted-line matrix teams
Geography: United States and Canada (remote/hybrid depending on location)
Travel: Up to 25–40% (client sites, executive briefings, industry events)
Key Responsibilities
Required Qualifications
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.
Preferred Qualifications
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.
Core Competencies
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
Tools and Technologies (Representative)
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
Work Environment
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.
Equal Opportunity
The organization is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.
Position: Head of Artificial Intelligence Role Summary
The Head of Artificial Intelligence Practice (North America) leads strategy, growth, delivery excellence, and talent for the AI portfolio across U.S. and Canada. This executive role owns practice P&L, builds scalable offerings (GenAI, ML, data science, AI platforms, MLOps), and partners with sales and delivery leaders to expand revenue and customer impact across industries.
Reports to: Head of Data & AI - North America
Direct reports: AI practice leadership team (solution leads, delivery leaders, architects), plus dotted-line matrix teams
Geography: United States and Canada (remote/hybrid depending on location)
Travel: Up to 25–40% (client sites, executive briefings, industry events)
Key Responsibilities
Required Qualifications
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.
Preferred Qualifications
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.
Core Competencies
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
Tools and Technologies (Representative)
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
Work Environment
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.
Equal Opportunity
The organization is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.
