Responsible AI Tech Lead

 About The Role  


Project Role :Responsible AI Tech Lead



Project Role Description :Ensure the ethical and responsible use of artificial intelligence (AI) technologies. Design and deploy Responsible AI solutions; align AI projects with ethical principles and regulatory requirements. Provide leadership, fosters cross-functional collaboration, and advocates for ethical AI adoption.

Must have skills :Microsoft Agentic AI Architecture


Good to have skills :No additional Technology Skill
Minimum

7.5 year(s) of experience is required


Educational Qualification :15 years full time education

Summary:As a Microsoft Agentic Architect, you will be responsible for designing, architecting, and deploying advanced Agentic AI solutions leveraging Microsoft's ecosystem. Your role will focus on building scalable multi-agent systems and AI-powered applications using Microsoft AI Foundry, Semantic Kernel, Autogen, Copilot Studio, and Azure AI services. You will ensure that all solutions are developed responsibly, aligning with ethical AI practices, governance policies, and organizational objectives. This position requires deep technical expertise, leadership, and the ability to collaborate across cross-functional teams to drive innovation in agentic AI.
Roles & Responsibilities:

Act as an SME in Microsoft Agentic AI solutions, with strong hands-on expertise in Microsoft AI Foundry, Semantic Kernel, Autogen, Copilot Studio, and Azure AI services (LLMs & SLMs).

Lead the design and architecture of multi-agent systems and integrate them seamlessly into enterprise ecosystems.

Collaborate with engineering and product teams to deliver cutting-edge GenAI/Agentic solutions with measurable business impact.

Define and implement Responsible AI practices across solution lifecycles, ensuring compliance with ethical standards and regulatory requirements.

Mentor and guide teams on best practices in agentic AI system design, orchestration, and deployment.

Drive key architectural and technical decisions across multiple projects and teams.

Facilitate knowledge-sharing sessions and training on Microsoft's Agentic AI stack.

Continuously evaluate solution performance and recommend optimizations for scalability, accuracy, and compliance.

Professional & Technical

Skills:

Must-Have

Skills:

oDeep expertise in Microsoft AI Foundry, Semantic Kernel, Autogen, Copilot Studio, and Azure AI services.oStrong knowledge of Large Language Models (LLMs) and Small Language Models (SLMs) – fine-tuning, deployment, and integration into enterprise systems.oProven experience in designing and implementing agentic AI architectures.oHand on experience in Python, Visual Studio Code

Additional

Skills:

oStrong understanding of Responsible AI frameworks and governance policies.oAbility to work with cross-functional teams to deliver scalable AI solutions.oKnowledge of compliance and regulatory requirements in AI.oStrong problem-solving and decision-making abilities.
Additional Information:

Minimum 8 years of experience in Microsoft AI and 2 years of experience Agentic AI Architecture, 10+ years in Azure PAAS. 13+ years of total experience in IT.

15 years of full-time education is required.

 Qualification 15 years full time education