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Agentic AI Architect @ Capgemini

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 Agentic AI Architect

Job Description

 About The Role  We seek a visionary and technically strong Agentic AI Leader to architect and scale enterprise wide agentic AI solutions across our businesses. You will define the strategy, lead multi agent system delivery, and enforce responsible AI governance to transform complex workflows with measurable ROI and regulated grade safety. We are looking for a strong Agentic AI Leader to drive enterprise-wide AI transformation initiatives with a deep focus on Agentic AI, Generative AI (GenAI), and intelligent automation. This role demands expertise in multi-agent orchestration, LLM-based architectures, and enterprise AI strategies.  Key Responsibilities:  Define the Agentic AI strategy and roadmap, aligned to enterprise digital transformation, regulatory priorities, and growth objectives. Own end to end delivery of agentic AI initiatives from discovery and feasibility through architecture, build, production deployment, and value realization. Identify high impact automation opportunities where intelligent agents can orchestrate complex, multi step workflows. Lead and direct cross functional squads (AI/ML engineers, data scientists, domain SMEs, platform/IT, risk/compliance) to deliver robust, scalable Solution on time and on budget. Adhere to organizational best practices for agent design by embedding advanced planning and reasoning capabilities, secure and compliant tool integration, robust memory and state management, and optimized retrieval strategies for performance and scalability. Collaborate with Product, Technology, and Platform teams to secure infrastructure, tooling, and data required to scale agent-based solutions. Foster a culture of innovation, and continuous learning playbooks, and re usable assets/accelerators. Promote engineering excellence (coding standards, MLOps/AIOps, testing, observability) and domain literacy across delivery teams. Strong business acumen with the ability to build business cases ROI driven proposals. Stakeholder influence and executive storytelling; ability to lead geographically dispersed, multi disciplinary teams. Knowledge of industry best practices in automation, governance, process improvement, and change management for enterprise adoption.
 Our Ideal Candidate 
  • Experience18+ years of progressive leadership in technology, strategic consulting, or complex program delivery; 5+ years driving GenAI/agentic AI programs at enterprise scale.
  • EducationBachelors or Masters in Computer Science or Ph.D., Engineering, Business Administration, or related quantitative field.
  • Agentic AI ExpertiseDemonstrable endtoend delivery of solutions using LLM orchestration frameworks, planning reasoning architectures, memory/state management, and secure tooluse by agents.
  • Deep expertise in modern AI/ML technology stacks, proficiency with leading cloud platforms (Azure, GCP), strong understanding of data governance principles, and hands-on experience in API integration with core enterprise systems
  • Proven ability to lead large, geographically dispersed teams; exceptional communication and executive presence, able to translate technical detail to business impact.
  • Agentic orchestration frameworksLangGraph, Semantic Kernel, Agent Framework, CrewAI (or equivalent), and Model Context Protocol (MCP) for crossagent interoperability.
  • Multimodal AgentsArchitect and deliver solutions leveraging Azure AI capabilities, including Azure AI Foundry, Azure OpenAI Service, Cognitive Services (Vision, Speech, Language), Document Intelligence, and Conversational AI enabling agents to process documents, conversational interfaces (chat/voice), tabular and transactional data, knowledge of OCR/NLP pipelines and speech recognition frameworks for enterprise grade.
  • Cloud AI servicesAzure AI Foundry/Agent Service, Copilot Studio, Azure OpenAI (or equivalents AWS Sagemaker, GCP Vertex AI); strong MLOps/AIOps patterns and CI/CD for ML.

    • Job Classification

    Industry: IT Services & Consulting
    Functional Area / Department: Engineering - Software & QA
    Role Category: Software Development
    Role: Technical Architect
    Employement Type: Full time

    Contact Details:

    Company: Capgemini
    Location(s): Noida, Gurugram

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    Keyskills:   ai mlops storytelling conversational ai aws sagemaker process improvement cloud platforms llm enterprise systems change management cloud ai ai governance nlp automation gcp compliance data governance aws architecture azure

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    Capgemini

    Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse o...

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