Capgemini

Capgemini

Principal AI Enterprise Architect

New York, NY, US · Principal · Full-time

Sponsorship not specified$168k-$245kDetected 6 days ago
AWSGCPAzureCI/CDPlatform EngineeringMachine LearningData ScienceLLMsRAGAgentic AILLMOpsMLOpsAI OrchestrationComplianceAccessibilityStakeholder ManagementLeadershipCommunicationProblem SolvingMentoring

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odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

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About the role

  • This leadership role is responsible for defining and governing enterprise-wide AI architecture, accelerating industrialization of AI capabilities, and enabling business transformation through scalable, secure, and reusable AI platforms and assets.
  • The Enterprise Architect will act as a trusted advisor to senior leadership, business stakeholders, and technology teams, ensuring alignment between strategic business objectives and AI investments.
  • The role requires a combination of strategic thinking, technical leadership, innovation, architecture governance, and delivery oversight to enable enterprise-scale adoption of AI solutions.

Responsibilities

  • Define and drive the enterprise AI architecture strategy, ensuring alignment with organizational objectives, digital transformation initiatives, and technology roadmaps.
  • Lead the design and evolution of scalable, secure, reusable, and future-ready AI platforms, frameworks, and accelerators.
  • Drive the industrialization and adoption of AI assets across business units, ensuring maximum reuse and organizational value.
  • Lead enterprise-wide AI transformation initiatives, identifying opportunities to leverage AI for business growth, operational efficiency, and innovation.
  • Establish reference architectures, design patterns, and reusable frameworks for AI and Gen AI solutions.
  • Drive architecture reviews and ensure compliance with enterprise standards for security, privacy, risk management, and responsible AI.
  • Collaborate with business stakeholders to define AI strategies, roadmap priorities, investment plans, and measurable business outcomes.
  • Lead architecture governance boards and ensure consistency across programs, products, and platforms.
  • Drive cloud-native AI adoption leveraging Azure, AWS, GCP, and modern platform engineering practices.

Skills

  • Master's degree in computer science, Engineering, Artificial Intelligence, Data Science, Information Systems, or a related discipline.
  • Ph.D. in AI, Machine Learning, Computer Science, or related field is desirable.
  • 20+ years of overall IT experience with strong expertise in Enterprise Architecture and AI led Digital Transformation.
  • Proven experience defining enterprise technology strategy and architecture governance frameworks.
  • Experience leading architecture teams and influencing senior executives, clients, and cross-functional organizations.
  • Strong background in enterprise modernization, cloud transformation, platform engineering, and AI industrialization.
  • Strong experience with MLOps, LLMOps, AI governance, model lifecycle management, monitoring, and observability.
  • Familiarity with cybersecurity, regulatory compliance, data privacy, responsible AI, and risk management frameworks.
  • Leadership & Professional Skills
  • Exceptional stakeholder management and executive communication skills.
  • Strong strategic thinking and business acumen with the ability to align technology investments to business outcomes.
  • Strong leadership, mentoring, and talent development capabilities.

Compensation

  • $168k-$245k

Benefits

  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Other benefits as provided by local policy and eligibility
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This listing is sourced directly from Capgemini's careers page and normalized into a canonical job model.