Principal AI Enterprise Architect

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. General Information Job Description: We are seeking a highly accomplished Enterprise Architect with deep expertise in Machine Learning, Agentic AI, and Enterprise AI Transformation to drive the organization's AI strategy and architecture vision. 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. Location Requirement: New York City. Candidates must be able to work onsite at the NYC office four (4) days per week . Key Responsibilities: • Define and drive the enterprise AI architecture strategy, ensuring alignment with organizational objectives, digital transformation initiatives, and technology roadmaps. • Establish enterprise architecture standards, governance frameworks, and best practices for AI, ML, and Generative AI solutions. • 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. • Provide executive-level technology leadership and architectural guidance to business leaders, delivery organizations, and client stakeholders. • 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. • Evaluate emerging technologies, AI frameworks, foundation models, and industry trends to define future-state architecture. • Drive cloud-native AI adoption leveraging Azure, AWS, GCP, and modern platform engineering practices. • Oversee enterprise AI platform deployment strategies, including MLOps, LLMOps, CI/CD, observability, monitoring, and operational excellence. • Define data architecture principles and integration patterns supporting AI-driven business capabilities. • Mentor and develop architects, AI leaders, and engineering teams, fostering a culture of innovation, engineering excellence, and continuous learning. • Partner with delivery and product teams to ensure successful implementation of architecture vision across strategic initiatives. • Drive enterprise adoption of responsible AI practices, ensuring compliance with regulatory, security, privacy, and ethical requirements. • Influence technology investment decisions and support development of business cases for strategic AI initiatives. • Represent the organization in client engagements, executive architecture discussions, innovation forums, and industry thought leadership initiatives. Qualifications & 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. • Deep expertise in enterprise GenAI and Agentic AI architecture patterns including multi-agent systems, reasoning frameworks, orchestration architectures, RAG, knowledge engineering, AI platform design, model ecosystems, and LLM integration strategies. • Lead definition and evolution of enterprise AI platforms, shared services, reusable agents, accelerators, and AI operating models Define enterprise AI operating model, governance structures, decision-making processes, and adoption framework supporting scalable AI transformation. • Demonstrated success in delivering and scaling Gen AI/Agentic AI, Machine Learning, and Generative AI solutions in large enterprise environments. • 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. • Deep expertise in Generative or Agentic AI ecosystems including OpenAI, Azure OpenAI, aws Bedrock, gcp adk, Claude, Gemini, Llama, LangChain, langraph , Agentic AI frameworks, and Retrieval-Augmented Generation (RAG) architectures. • Define enterprise standards and architecture patterns for Agentic AI including multi-agent orchestration, memory frameworks, tool integration, human oversight, evaluation frameworks, observability, and lifecycle management. • • Strong experience with MLOps, LLMOps, AI governance, model lifecycle management, monitoring, and observability. • Familiarity with cybersecurity, regulatory compliance, data privacy, responsi