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, Tensor. Flow, Py. Torch, 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