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Capgemini

Global consulting, technology services, outsourcing

Principal AI Enterprise Architect

Full-TimeUpdated on 10/23/2026
$167.5k - $245.2k+ Variable incentives + Bonus + Commission
Expert
Master's, PhD
New York, NY, USA
In PersonOnsite at the New York City office four days per week.
AI & Machine Learning

About the job

Requirements
  • A master's degree in computer science, engineering, artificial intelligence, data science, information systems, or a related discipline.
  • 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 generative AI and Agentic AI architecture patterns, including multi-agent systems, reasoning frameworks, orchestration architectures, retrieval-augmented generation, knowledge engineering, AI platform design, model ecosystems, and large language model integration strategies.
  • Demonstrated success delivering and scaling generative 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, Google Cloud ADK, Claude, Gemini, Llama, LangChain, LangGraph, Agentic AI frameworks, and retrieval-augmented generation architectures.
  • 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.
  • Exceptional stakeholder management and executive communication skills.
  • Strong strategic thinking and business acumen to align technology investments with business outcomes.
  • Proven ability to influence organizational decisions and drive enterprise-wide technology adoption.
  • Strong leadership, mentoring, and talent development capabilities.
  • Excellent problem-solving, decision-making, and analytical skills.
  • Ability to operate effectively in complex, global, and matrix-based organizations.
  • Strong customer-centric mindset and experience supporting client-facing engagements and executive presentations.
Responsibilities
  • Define and drive enterprise AI architecture strategy in alignment with organizational objectives, digital transformation initiatives, and technology roadmaps.
  • Establish enterprise architecture standards, governance frameworks, and best practices for AI, machine learning, 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 to maximize 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 and identify opportunities to use AI for business growth, operational efficiency, and innovation.
  • Establish reference architectures, design patterns, and reusable frameworks for AI and generative 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 using Azure, AWS, Google Cloud Platform, and modern platform engineering practices.
  • Oversee enterprise AI platform deployment strategies, including MLOps, LLMOps, continuous integration and continuous delivery, observability, monitoring, and operational excellence.
  • Define data architecture principles and integration patterns that support AI-driven business capabilities.
  • Mentor and develop architects, AI leaders, and engineering teams, fostering innovation, engineering excellence, and continuous learning.
  • Partner with delivery and product teams to implement the architecture vision across strategic initiatives.
  • Drive enterprise adoption of responsible AI practices and ensure compliance with regulatory, security, privacy, and ethical requirements.
  • Influence technology investment decisions and support business-case development for strategic AI initiatives.
  • Represent the organization in client engagements, executive architecture discussions, innovation forums, and industry thought leadership initiatives.
  • Lead definition and evolution of enterprise AI platforms, shared services, reusable agents, accelerators, and AI operating models.
  • Define the enterprise AI operating model, governance structures, decision-making processes, and adoption framework for scalable AI transformation.
  • 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.
Desired Qualifications
  • A Ph.D. in AI, machine learning, computer science, or a related field.

About the company

Capgemini helps organizations in consulting, technology services, and outsourcing to drive digital transformation. Its offerings include strategy and transformation consulting; system integration, application development, and IT infrastructure management; and managed IT operations and business processes. It competes through a global footprint in over 50 countries with a local touch, applying AI, cloud, and cybersecurity to real-world problems. Its goal is to help clients achieve strategic objectives and improve efficiency through technology.

Company Size

10,001+

Company Stage

IPO

Headquarters

Paris, France

Founded

1967

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Simplify's Take

What believers are saying

  • H1 2026 revenue reached €12.082 billion, up 8.8%, and guidance rose to 8.5%-9.0%.
  • HMRC’s June 2026 contract adds multi-year public-sector revenue and validates Capgemini’s sovereign-cloud pitch.
  • Generative and agentic AI exceeded 10% of Q4 2025 bookings, signaling durable demand momentum.

What critics are saying

  • Fit-for-Growth triggered about €700 million restructuring costs across 2026-2027, mostly in 2026.
  • June 30, 2026 filings cite recurring India transfer-pricing tax reassessments and active litigation.
  • AI services commoditize legacy consulting; WNS integration and workforce cuts threaten margin expansion by 2027.

What makes Capgemini unique

  • Capgemini’s October 2025 WNS acquisition created scaled Intelligent Operations and agentic AI delivery.
  • The June 2026 HMRC deal extends a 2004 relationship and embeds Capgemini in UK tax systems.
  • Capgemini’s September 2026 OpenAI Deployment Company investment deepens enterprise AI implementation access.

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Benefits

  • Health Insurance
  • Paid Vacation
  • Flexible Work Hours
  • Remote Work Options
  • Professional Development Budget
  • Meal Benefits
  • Dental Insurance
  • Life Insurance
  • Performance Bonus
  • Hybrid Work Options

Growth & Insights and Company News

6 month growth

5%

1 year growth

5%

2 year growth

5%
InfraSale
Sep 25th, 2026
Capgemini Expands Seattle Presence with Acquisition of Collinear Group

Capgemini has acquired Collinear Group, enhancing its consulting capabilities in the Seattle area. This move signifies a strategic expansion into the growing data center and technology consulting market, which is crucial for InfraSale's audience focused on infrastructure development. Observers should watch for how this acquisition impacts local data center projects and consulting services.

Associated Press
Sep 10th, 2026
42% of consumers confused by life insurance policies, 1 in 4 abandon purchase

Life insurers face a relevance crisis, according to the World Life Insurance Report 2027 from Capgemini and LIMRA. The study surveyed over 6,100 consumers globally and found that whilst 47% consider buying life insurance, more than 40% feel confused or unconvinced by available information. One in four abandon the purchase process. Younger consumers aged 18-40 are particularly affected, with 28% dropping out before completion. Technical language, affordability concerns, and perceived irrelevance drive these exits. The report reveals nearly 40% of policyholders rarely hear from insurers post-purchase, and half who discontinue do so within three years. However, best-in-class insurers—representing just 10% of carriers—achieved 41% higher revenue growth and 12% lower lapse rates through personalised engagement and data-driven strategies.

The Register
Aug 20th, 2026
HMRC awards Capgemini $47M SAP migration contract, extending 28-year relationship

The UK's HM Revenue & Customs has awarded Capgemini a £37 million contract to migrate its Enterprise Tax Management Platform from SAP ECC 6.0 to S/4HANA. The contract runs until 2032, potentially extending Capgemini's involvement with HMRC's tax systems to 28 years since the relationship began in 2004. The platform handles more than £800 billion in tax revenue and payments annually for 40,000 users. HMRC insisted the procurement was fair and competitive, with several bidders competing from the Digital Legacy Application Services framework. Capgemini became HMRC's lead technology supplier in 2004 under the Aspire contract. A 2014 parliamentary committee found that Aspire cost £7.9 billion between 2004 and 2014, generating £1.2 billion in combined profit for Capgemini and Fujitsu.

Yahoo Finance
Jul 30th, 2026
Capgemini H1 net profit drops 31% to $538M despite 8.8% revenue rise and raised FY outlook

French technology company Capgemini reported a 31% drop in net profit to €498 million in the first half of the year, down from €724 million in the same period last year, due to higher expenses. Normalised earnings per share fell 12% to €5.29. Revenue climbed 8.8% to €12.08 billion from €11.11 billion. The company's operating margin rose 9.3% to €1.51 billion. Net other operating income and expenses increased to €628 million from €401 million in the prior-year period. Capgemini raised its fiscal 2026 revenue growth outlook to around 8.5% to 9.0% at constant exchange rates, up from its earlier forecast of 6.5% to 8.5%.

Yahoo Finance
Jul 30th, 2026
Capgemini raises 2026 revenue growth target to 8.5-9% after strong H1 performance

Capgemini has upgraded its 2026 revenue growth outlook following strong first-half performance. The French IT services firm now expects constant currency revenue growth of around 8.5% to 9.0%, up from its previous target of 6.5% to 8.5%. The company reported revenues of €12.1 billion in the first half of 2026, up 8.8% year-on-year, with constant currency growth of 11.3%. Operating margin reached 12.5% of revenues, up 10 basis points year-on-year. Chief executive Aiman Ezzat attributed the performance to strong demand for AI-driven transformation services, particularly agentic AI and physical AI solutions. The company's newly integrated Intelligent Business Operations business line, following the WNS acquisition, is generating significant commercial traction. Capgemini maintained its operating margin target of 13.6% to 13.8% and organic free cash flow guidance of €1.8 billion to €1.9 billion for the full year.