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