AI Engineer
Exp – 6+
Location: PAN India

• Design, develop, and deploy Generative AI solutions using AWS AI services and Amazon Bedrock
• Build AI-powered applications leveraging Amazon Nova, Amazon Titan, Anthropic Claude, and Gemini models to address business use cases
• Develop and implement RAG (Retrieval-Augmented Generation), AI Agents, and conversational AI solutions within the AWS ecosystem
• Utilize AWS services such as Lambda, S3, OpenSearch, DynamoDB, RDS, ECS/EKS, and API Gateway to build scalable AI applications
• Apply end-to-end AI Development Lifecycle (AI DLC) practices including prompt engineering, model evaluation, deployment, monitoring, and continuous improvement
• Establish and maintain MLOps/LLMOps pipelines for productive deployment, governance, monitoring, and optimization of AI solutions
• Leverage GitHub Copilot, Copilot Chat, Amazon Q Developer, and other AI-assisted development tools to accelerate software development, testing, code review, and documentation
• Collaborate with business, architecture, and engineering teams to drive AI adoption, ensure responsible AI practices, and deliver production-ready AI solutions on AWS

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