10.0 - 15.0 years

15 - 30 Lacs

pune, chennai, delhi / ncr

Hybrid

Agentic AI Project Manager Microsoft Initiatives C2 Job Description We are seeking a dynamic and technically fluent Project Manager to lead the delivery of Agentic AI initiatives within the Microsoft ecosystem. This role will oversee the planning, execution, and scaling of AI solutions that leverage Microsoft technologies such as Azure AI Agent Service, Power Platform, Semantic Kernel, and Copilot Studio. The ideal candidate will combine agile delivery expertise with a strong understanding of AI orchestration frameworks and enterprise compliance. Responsibilities Program Management & Delivery Lead end-to-end delivery of Agentic AI projects, from ideation and PoC to deployment and scaling across Microsoft platforms. Manage project scope, timelines, budgets, and risks while ensuring alignment with business goals and technical feasibility Microsoft AI Ecosystem Integration Coordinate the implementation of Microsoft-native AI components including Azure AI Foundry, Power Automate, and Copilot integrations. Ensure solutions are compliant with Microsoft’s Responsible AI principles, including cost optimization, bias detection, and audit workflows Stakeholder Engagement Act as the primary liaison between business stakeholders, technical teams, and Microsoft partners. Facilitate workshops, demos, and governance reviews to ensure stakeholder alignment and transparency Agile Execution & Governance Apply Agile/Scrum methodologies to manage sprints, backlogs, and iterative delivery cycles. Track KPIs, manage change requests, and ensure documentation and audit readiness. Innovation & Reusability Promote reuse of accelerators, templates, and frameworks across AI projects. Contribute to the development of delivery playbooks and best practices for Microsoft Agentic AI programs Required Skills & Qualifications Bachelor's / Masters degree in computer science, Engineering, Mathematics, Statistics, or related field Proven experience managing AI/ML or GenAI projects, ideally within Microsoft environments. Strong understanding of Microsoft AI stack: Azure AI, Power Platform, Microsoft Copilot, and Semantic Kernel. Familiarity with orchestration frameworks like LangChain, LangGraph, or AutoGen is a plus. Experience in managing deploying activities with Gen AI stack/services provided by various platforms such as AWS, GCP, Azure Experience in project management for AI/ML, Generative AI and Agentic AI Projects. Excellent communication, stakeholder management, and cross-functional leadership skills. PMP, PRINCE2, or Agile certifications preferred. Collaborate with data engineers, data scientists, and business stakeholders to understand the data and the business problems.

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Agentic AI Infrastructure Lead Capgemini

10.0 - 15.0 years

15 - 30 Lacs

pune, chennai, delhi / ncr

Hybrid

Your Role: As the Agentic and Generative AI Infrastructure Lead, you will architect and manage the foundational infrastructure that powers enterprise-scale AI innovation. This role is central to enabling the secure, scalable, and cost-effective deployment of Agentic AI workloads across multi-tenant and multi-service environments. You will be responsible for orchestrating the technical backbone that supports AI agents as they interact with APIs, core data systems, and hybrid cloud environments - including legacy and third-party platforms. With a strategic builders mindset, you will lead the design and implementation of infrastructure that supports the full AI lifecycle - from development and training to deployment and monitoring. Your work will ensure that AI systems are not only performant and reliable but also governed by robust access controls, cost containment strategies, and compliance safeguards. This role is pivotal in balancing innovation with operational discipline, ensuring that AI capabilities scale responsibly across the organization. Your Profile (needed): Strong technical background with a degree in management or computer science, and proficiency in SQL and Python for data analytics. At least 2 years of experience building and managing enterprise-grade cloud infrastructure (AWS, Azure, GCP), with a focus on multi-tenant and multi-service architectures. Deep understanding of AI orchestration, including data flow management, computational resource optimization, and coordination of multiple AI models. Proven ability to implement robust security and access controls, including RBAC, network policies, and isolation techniques. Experience with cost containment strategies for cloud-based AI deployments, including awareness of API call fees and Retrieval-Augmented Generation (RAG) training costs. Foundational understanding of Agentic AI concepts and their application in enterprise environments. Your Profile (nice to have): Background in technical service design. Experience with web application deployment and container orchestration for AI/ML workloads. Knowledge of deployment models (on-premise vs. public cloud) and their trade-offs. Familiarity with audit logging and cost allocation in multi-tenant environments. Awareness of the Agentic AI development lifecycle, including deployment automation and workflow optimization. Consulting experience or a client-facing background in automation or infrastructure roles

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