What are the responsibilities and job description for the Principal AI Technical Architect (MSPP & Agentic AI) position at Cognizant Technology Solutions and Careers?
Principal AI Technical Architect (Microsoft Power Platform & Agentic AI)
Job Summary:
We are seeking a Principal AI Technical Architect to lead the design and implementation of enterprise-grade Agentic AI solutions. In this role, you will bridge the gap between business strategy and technical execution, leveraging the full Microsoft ecosystem. You will be responsible for defining the architecture for autonomous agents that can reason, plan, and execute complex workflows. You will act as a trusted advisor to senior leadership, translating the capabilities of Generative AI into actionable business value.
Key Responsibilities
- Strategic Leadership: Partner with senior executives to roadmap the transition from traditional automation to Agentic AI.
- Solution Architecture: Design end-to-end architectures using Microsoft Copilot Studio as the orchestration layer and Azure AI for advanced cognitive services.
- Agentic AI Development: Build autonomous agents capable of multi-turn reasoning and tool calling by integrating Azure OpenAI models with Power Automate flows.
- Governance & Security: Establish frameworks for Responsible AI, ensuring data privacy, role-based access control (RBAC), and compliance within the Microsoft Entra ID environment.
- Integration: Architect complex integrations between AI agents and enterprise systems (ERP, CRM) using custom connectors and API management.
Technical Requirements
- Deep Expertise in Agentic AI: Proven experience designing multi-agent systems, implementing RAG (Retrieval-Augmented Generation), and utilizing framework patterns (e.g., ReAct) within the Microsoft stack.
- Microsoft Stack Mastery:
o Copilot Studio: Advanced configuration, topic design, and extending Copilots with custom plugins.
o Power Platform: Deep knowledge of Power Automate for defining agent "skills" and actions.
o Azure AI: Experience with Azure AI Search (vector databases), Azure OpenAI Service, and Document Intelligence.
- Legacy Automation Integration: Ability to integrate modern AI agents with existing RPA initiatives.
- Preferred: Hands-on experience or architectural knowledge of UiPath and Automation Anywhere.
Soft Skills & Qualifications
- Ability to articulate complex technical concepts to non-technical senior stakeholders.
- Strong background in consultative solution selling or internal technical consulting.
- Certifications: Microsoft Certified: Power Platform Solution Architect Expert or Azure AI Engineer Associate is highly desirable.
Cognizant will only consider applicants for this position who are legally authorized to work in the United States without requiring company sponsorship now or at any time in the future.