- Lead end-to-end delivery of AI initiatives across corporate functions namely HR, Finance, Risk, Legal, IT, Admin, etc.

- Design optimal enterprise AI architecture by picking right models, platforms, orchestration patterns while leveraging Microsoft AI services to deliver reliable, high-quality, secure, scalable, and cost-efficient solutions.

- Build AI solutions using Azure AI Foundry, Azure OpenAI, Microsoft Copilot, Copilot Studio and the Power platform.

- Develop and integrate AI applications using Python, APIs, Azure services and enterprise systems.

- Drive automation and workflow transformation using Power Automate, Power Apps, and Power BI for intelligent insights, process optimization and decision support.

- Define scalable deployment architectures, leveraging CI/CD, containerization and enterprise cloud platforms.

- Work closely with Corporate function teams to ensure that AI solutions are developed and launched as per specifications and timelines and translated into scalable solutions.

- Ensure that AI solutions comply with KPMG's data privacy, security controls, access management, and regulatory requirements to ensure responsible AI adoption.

- Optimize AI solutions for performance, speed, resource efficiency, and business outcomes by demonstrating success of AI projects with ROI.

- Establish reusable AI standards, architecture patterns, and implementation best practices.

Work Experience :

- 10+ years of experience in AI, Machine Learning, or related fields, with hands-on experience in developing and deploying AI solutions.

- Proven experience with AI frameworks such as Copilot studio, TensorFlow, PyTorch, and Keras, and cloud platforms like Azure.

- Strong background in solution development / consulting, including experience with Python, Java, or similar programming languages.

- Hands-on experience in executing AI projects through all phases, from ideation and prototype to production and value creation.

Mandatory Skills :

- Expertise across Microsoft AI ecosystem - Azure AI Foundry, Azure OpenAI, Copilot, Copilot Studio, Power Platform, and Azure services.

- Strong understanding of LLMs, RAG, AI Agents, MCP, Prompt engineering, vector DBs, and enterprise AI architecture inclusive of Responsible AI.

- Good understanding of AI/ML algorithms, data analytics, data strategy, model optimization, and deployment strategies.

- Familiarity with DevOps practices, including CI/CD pipelines, Docker, Kubernetes, and how AI is priced: licensing and commercial models.

- Excellent stakeholder management, consulting and project delivery skills.

- Highly articulate with excellent communication and presentation skills.

- Willingness to continually learn and try new approaches/methodologies.