Job highlights

- Expertise in Generative AI, LLMs, Prompt Engineering, RAG Architecture, and Azure AI Services
- Design, develop, and deploy AI/ML and Generative AI solutions; integrate AI with enterprise systems; monitor and optimize model performance; implement Responsible AI and governance; collaborate with stakeholders; create technical documentation

Role & responsibilities Design and develop AI, ML, and Generative AI solutions aligned to business requirements. l Build, test, and deploy AI models, copilots, and agentic workflows. l Develop RAG (Retrieval Augmented Generation) and intelligent automation solutions. l Integrate AI services with enterprise applications, APIs, and business processes. l Fine-tune prompts, models, and AI workflows for optimum performance. l Monitor model accuracy, performance, cost, and utilization.



l Implement Responsible AI, security, compliance, and governance controls. l Collaborate with business stakeholders, architects, developers, and data engineers. l Create technical documentation, deployment guides, and operational runbooks. l Support AI solution troubleshooting, optimization, and continuous improvement.

Required Skills l Python, C#, Java, or JavaScript l Machine Learning and Deep Learning concepts l Generative AI and LLMs l Prompt Engineering l RAG Architecture l Vector Databases l AI Agent Frameworks l Azure AI Services / Azure OpenAI / AWS Bedrock / Google Vertex AI l REST APIs and Microservices l Git, CI/CD, DevOps

📌 Artificial Intelligence Engineer (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad