Agentic AI Project Manager
2 weeks ago
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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