AI Transformation Practitioner

Project Role : AI Transformation Practitioner Project Role Description : Responsible for creating and delivering on the vision of an AI transformation. Guide and lead the execution of AI transformation projects. Must have skills : Microsoft Agentic AI Architecture Good to have skills : NA Minimum 15 year(s) of experience is required Educational Qualification : 15 years full time education

Summary: As an AI Transformation Practitioner, you will be responsible for creating and delivering on the vision of an AI transformation. Your typical day will involve guiding and leading the execution of AI transformation projects, collaborating with various teams to ensure alignment with strategic goals, and addressing challenges that arise during the transformation process. You will engage with stakeholders to understand their needs and provide insights that drive effective decision-making, ultimately contributing to the successful implementation of AI initiatives within the organization.

Key Responsibilities

Serve as a subject matter expert in Microsoft Agentic AI solutions, particularly with hands-on experience in Microsoft AI Foundry, Semantic Kernel, Autogen, Copilot Studio, and Azure AI services including Large Language Models (LLMs) and Small Language Models (SLMs). Lead the design and architecture of multi-agent systems, ensuring seamless integration into enterprise environments. Collaborate closely with engineering and product teams to deliver innovative GenAI and Agentic AI solutions that drive measurable business impact. Define and implement Responsible AI practices throughout the solution lifecycle, ensuring alignment with ethical standards and regulatory requirements. Mentor teams on best practices for agentic AI system design, orchestration, and deployment. Drive key architectural and technical decisions across diverse projects and teams. Facilitate knowledge-sharing sessions and training focused on Microsoft s Agentic AI technology stack. Continuously assess solution performance and provide recommendations for optimization in scalability, accuracy, and compliance.

Required Skills and Qualifications -Must-Have Skills: -Extensive expertise in Microsoft AI Foundry, Semantic Kernel, Autogen, Copilot Studio, and Azure AI services. -Strong knowledge of LLMs and SLMs, including fine-tuning, deployment, and enterprise integration. -Proven track record in designing and implementing agentic AI architectures. -Practical experience with Python and Visual Studio Code.

Good-to-Have Skills: Experience with Microsoft Azure Machine Learning. Familiarity with Microsoft Azure OpenAI Service.

Additional Skills: In-depth understanding of Responsible AI frameworks and governance policies. Ability to collaborate with cross-functional teams to deliver scalable AI solutions. Knowledge of compliance and regulatory requirements in the AI domain. Strong problem-solving and decision-making skills.