Azure Senior AI Engineer

Req : 386215

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us.

We are currently seeking a Azure Senior AI Engineer to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

We are seeking a highly skilled Senior AI Engineer / AI Developer to design, develop, deploy, and optimize enterprise-grade AI solutions that deliver measurable business value. This role will work closely with AI Architects, Product Owners, Project Managers, Business Stakeholders, and Engineering teams to transform business requirements into scalable AI-powered applications and intelligent automation solutions.

The ideal candidate possesses deep expertise in Generative AI, Large Language Models (LLMs), Agentic AI, Microsoft Azure AI services, Microsoft Copilot, Power Automate, and modern software engineering practices. They should be equally comfortable building AI solutions from concept to production, integrating enterprise systems, and optimizing AI models and platforms for performance, reliability, and cost efficiency.

• Design, develop, and implement AI-powered applications using modern AI and machine learning technologies.
• Build enterprise grade Generative AI, Conversational AI, Agentic AI, and intelligent automation solutions.
• Translate business and functional requirements into scalable technical solutions.
• Collaborate with architects and business stakeholders to deliver innovative AI capabilities.
• Develop reusable frameworks, components, APIs, and accelerators to improve delivery efficiency.

• Build and deploy applications leveraging Large Language Models (LLMs) and Generative AI technologies.
• Develop Retrieval Augmented Generation (RAG) solutions integrating enterprise knowledge repositories and data sources.
• Design prompt engineering strategies and conversation orchestration frameworks.
• Implement AI agents and multi-agent workflows to automate business processes and decision-making.
• Evaluate and integrate foundation models based on business requirements, performance, and cost considerations.

• Develop and customize Microsoft Copilot and Copilot Studio solutions.
• Build AI-powered assistants that improve employee productivity and business process efficiency.
• Integrate Copilot experiences with enterprise applications, Microsoft 365, and business workflows.
• Design knowledge grounded copilots using enterprise content and varied data sources.
• Establish best practices for Copilot adoption, security, governance, and performance optimization.

• Design and implement business process automation solutions using Power Automate.
• Build intelligent workflows integrating AI capabilities and enterprise applications.
• Develop Power Apps and AI enabled business solutions when required.
• Integrate AI services into automated workflows to improve operational efficiency.
• Create reusable automation components and accelerators.

• Develop AI solutions leveraging Azure AI services, Azure OpenAI, Azure AI Search, Azure Machine Learning, Azure Functions, and related cloud services.
• Build scalable APIs, microservices, and backend services supporting AI workloads.
• Implement cloud-native AI architectures that meet enterprise requirements for security, reliability, and performance.
• Configure and optimize AI infrastructure supporting solution deployment and operations.
• Collaborate with Dev Ops and platform teams to ensure production readiness.

• Develop solutions utilizing open-source foundation models such as Llama, Mistral etc.
• Fine tune and…