1 day ago
Base Salary
$168k - $245k/yr
Responsibilities
- Define and drive enterprise AI architecture strategy, standards, governance frameworks, roadmaps, and operating models.
- Lead the design and evolution of scalable, secure, reusable AI platforms, shared services, agents, accelerators, and reference architectures.
- Drive enterprise-wide AI transformation, industrialization, adoption, and reuse across business units and strategic initiatives.
- Provide executive-level architectural guidance to business leaders, clients, delivery organizations, product teams, and technology teams.
- Lead architecture governance boards, reviews, and compliance with security, privacy, risk management, ethical, and responsible AI requirements.
- Evaluate emerging AI technologies, frameworks, foundation models, and industry trends to define future-state architecture.
- Drive cloud-native AI adoption across Azure, AWS, and GCP and oversee AI platform deployment, MLOps, LLMOps, monitoring, observability, and operational excellence.
- Define data architecture principles and integration patterns supporting AI-driven business capabilities.
- Mentor architects, AI leaders, and engineering teams and represent the organization in client engagements, executive discussions, innovation forums, and thought leadership initiatives.
Requirements
- Master’s degree in computer science, engineering, artificial intelligence, data science, information systems, or a related discipline; a Ph.D. in AI, machine learning, computer science, or a related field is desirable.
- 20+ years of overall IT experience with strong enterprise architecture and AI-led digital transformation expertise.
- Proven experience defining enterprise technology strategy, architecture governance frameworks, AI operating models, and adoption frameworks.
- Deep expertise in enterprise GenAI and Agentic AI architecture, including multi-agent systems, reasoning and orchestration frameworks, RAG, knowledge engineering, AI platforms, model ecosystems, and LLM integration.
- Demonstrated success delivering and scaling GenAI, 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, AI industrialization, MLOps, LLMOps, model lifecycle management, monitoring, and observability.
- Familiarity with cybersecurity, regulatory compliance, data privacy, responsible AI, and risk management frameworks.
- Exceptional executive communication, stakeholder management, strategic thinking, business acumen, leadership, mentoring, decision-making, and client-facing presentation skills.
Benefits
- Comprehensive benefits package for regular full-time employees, including paid time off, company holidays, personal days, and sick leave.
- Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
- Retirement savings plans such as 401(k) in the U.S. and RRSP in Canada.
- Life and disability insurance and employee assistance programs.
- New York City work location with required onsite attendance four days per week.
Tech Stack
Categories
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.