Generative AI Architect

Client: TCS | Engagement: Full-time | Work mode: ONSITE | Rate: 80-90 USD | Experience: 4-6 | Publisher job id: 10883490

Role Overview

This role focuses on defining enterprise AI architecture and target-state roadmaps, with a strong emphasis on designing and implementing Generative AI and Agentic AI solutions. The architect will be responsible for building scalable, secure, and high-performing AI solutions on leading cloud platforms, establishing governance, and providing technical leadership to development and AI engineering teams. Key Responsibilities: Define enterprise AI architecture and target-state roadmap. Design scalable, secure, and high-performing AI solutions. Evaluate and recommend AI platforms, frameworks, and tools. Establish AI governance, security, compliance, and responsible AI practices. Design and implement GenAI solutions using LLMs. Build RAG (Retrieval-Augmented Generation) architectures. Design AI Agents and multi-agent orchestration frameworks. Define prompt engineering, fine-tuning, and model evaluation strategies. Architect AI solutions on Azure AI Foundry, Azure OpenAI, AWS Bedrock, or similar platforms. Design integrations between enterprise applications and AI services. Establish MLOps and LLMOps frameworks for deployment and monitoring. Lead architecture reviews and solution design workshops. Mentor development and AI engineering teams. Support client discussions, PoCs, and solution proposals. Required Skills: Expertise as an AI Developer (Architect). Proficiency in Digital Artificial Intelligence (AI). Qualifications: 4-6 years of experience. Preferred Skills: None specified.