Manager

• Proposed designation Manager • Role type Individual contributor. • Reporting to Director • Geo to be supported Internal - India Work timings Flexible (9:30am to 6:00pm

The position in discussion is with the IT team at KGS, As a Manager in the IT team, your responsibilities will include: • 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. This role is for you if you have the below Educational qualifications • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. • Advanced certifications in AI/ML, cloud computing, or software engineering are advantageous. • 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.

• 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