Azure AI Engineer

Summary: Design, develop, and deploy enterprise-grade AI solutions using Azure AI services, Generative AI, and LLMs. The role involves building scalable applications, optimizing models, and collaborating with cross-functional teams to deliver intelligent automation and AI-powered features.

Req ID: 386193

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

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

AI Engineer – Azure

Location – Any Location in India

Role Purpose

We are seeking a highly skilled 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.

Key Responsibilities

AI Solution Development

• 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.

Generative AI & LLM Engineering

• 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.

Microsoft Copilot & AI Assistants

• 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.

Power Platform & Intelligent Automation

• 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.

Azure AI & Cloud Development

• 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 DevOps and platform teams to ensure production readiness.

Open Source AI & Model Engineering

• Develop solutions utilizing open-source foundation models such as Llama, Mistral etc.
• Fine tune and optimize models for enterprise use cases.
• Deploy and manage model inference workloads on cloud and GPU enabled environments.
• Build model serving solutions and integrate models into enterprise systems.
• Contribute to AI platform engineering and model lifecycle management activities.

Model Optimization & Operational Excellence

• Optimize AI applications for latency, scalability, throughput, and operational cost.
• Implement techniques such as quantization, caching, prompt optimization, and model tuning.
• Monitor application performance and continuously improve model effectiveness.
• Support evaluation, testing, and validation frameworks for AI solutions.
• Ensure adherence to Responsible AI, security, and compliance requirements.

Collaboration & Technical Leadership

• Collaborate with cross-functional teams including Architects, Product Managers, Data Scientists, Developers, and Business Stakeholders.
• Participate in architecture reviews, code reviews, and technical design discussions.
• Mentor junior engineers and contribute to AI engineering best practices.
• Stay current with emerging AI technologies, frameworks, and industry trends.
• Support client engagements, solution demonstrations, and technical workshops when required.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Technology, Data Science, or a related field.
• 5+ years of software engineering or application development experience.
• 2+ years of hands-on experience designing and developing AI, Machine Learning, or Generative AI solutions.
• Strong development experience with Python and modern software engineering practices.
• Hands-on experience with Azure AI services and cloud-native application development.
• Experience building enterprise applications integrating LLMs and Generative AI capabilities.
• Experience with API development, microservices, and enterprise system integration.
• Strong problem-solving, communication, and stakeholder engagement skills.

Preferred Qualifications

• Master's degree in Artificial Intelligence, Computer Science, Data Science, or a related discipline.
• Microsoft certifications in Azure AI, Power Platform, or related technologies.
• Experience developing Microsoft Copilot and Copilot Studio solutions.
• Experience building Power Automate and Power Platform solutions.
• Experience with MLOps, LLMOps, CI/CD, and AI deployment pipelines.
• Experience deploying AI workloads in Kubernetes and containerized environments.
• Experience working with enterprise scale AI transformation programs.

Key Competencies

• AI Development
• Software Engineering Excellence
• Technical Problem Solving
• Innovation & Continuous Learning
• Cross functional Collaboration
• Stakeholder Communication
• Quality & Delivery Focus
• Agile Development Practices

Ideal Candidate Profile

A successful candidate is a hands-on AI Engineer who can take an idea from concept to production. They possess strong expertise in Generative AI, Azure AI, Copilot, and Power Automate, while also demonstrating software engineering excellence, cloud development experience, and the ability to build secure, scalable, and production-ready AI solutions that drive business outcomes.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

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