Generative AI Solution Architect

CapgeminiNew York, NY
2d$99,712 - $168,716

About The Position

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.Generative AI Solution ArchitectJob DescriptionTitle - Generative AI Solution ArchitectLocation - NY/NJ Role OverviewThe Solution Architect is responsible for planning, evaluating, recommending, and designing end-to-end architectural solutions that enable the reimaginationof enterprise processes using AI, generative AI, and agentic systems. This role partners closely with business leaders, product managers, forward deployedengineers, and platform teams to ensure solutions align with enterprise standards, technology strategy, risk posture, and business outcomes.The architect will operate across the full lifecycle-from early discovery and conceptual design through build, deployment, and scale-providing architecturalleadership for complex, AI-enabled transformations.  

Requirements

  • Proven experience as a Solution Architect designing complex, enterprise-scale systems
  • Strong understanding of application architecture, integration patterns, data rchitecture, and cloud-native design
  • Experience supporting solutions that incorporate AI/ML, analytics, or automation technologies
  • Ability to communicate architectural concepts clearly to both technical and nontechnical stakeholders
  • Experience working within enterprise architecture standards and governance models

Nice To Haves

  • Experience designing AI, generative AI, or agentic system architectures
  • Familiarity with LLM platforms, orchestration frameworks, APIs, and data pipelines
  • Experience in regulated or highly controlled environments (e.g., financial services)
  • Exposure to process transformation, digital modernization, or operationalreengineering efforts
  • Ability to partner effectively with engineering, risk, security, and platform teams

Responsibilities

  • Plans, evaluates, recommends, and designs end-to-end solution architectures to support AI- and agentic-enabled process reimagination initiatives
  • Ensures architectural designs align with enterprise architecture standards, security, resiliency, data governance, and compliance requirements
  • Defines logical and physical architectures across application, data, integration, AI/ML, and infrastructure layers
  • Evaluates and selects appropriate technologies, patterns, and platforms for AI and agentic solutions
  • Partners with business, operations, and product teams to understand current-stateprocesses, future-state vision, and business objectives
  • Translates business requirements into scalable, maintainable, and extensible architectural designs
  • Identifies architectural trade-offs and provides clear recommendations aligned to business value and risk tolerance
  • Designs architectures that support LLM-powered applications, agentic workflows, orchestration, and human-in-the-loop controls
  • Ensures responsible AI principles are embedded into solution designs, includingexplain ability, auditability, and model governance
  • Collaborates with engineering teams to guide implementation of AI components within enterprise constraints
  • Provides architectural oversight throughout delivery, ensuring solutions are built according to design intent
  • Participates in architecture reviews, design forums, and governance processes
  • Identifies and mitigates architectural risks, technical debt, and scalability concernsearly in the lifecycle

Benefits

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • 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
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility
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