Solution Architect - Agentic AI - AI & Data Unit

Description : Preface

The Agentic AI Architect is a role within TCS's AI & Data business unit in the Americas, focused on designing next-generation AI solutions that leverage autonomous "agentic" AI systems. These systems autonomously make decisions, take actions, adapt to changing environments, and continuously learn. TCS anticipates a shift from traditional chatbots to multi-agent AI frameworks where multiple agents collaborate to determine actions. This client-facing consulting position involves shaping AI architecture across various industries, delivering vertical-specific solutions for domains like BFSI, Manufacturing, Life Sciences, Telecom, Retail, Travel, and Consumer Goods. The role involves thought leadership in emerging Business Units, ensuring TCS's AI solutions are innovative, scalable, and responsibly engineered.

What You Would Be Doing

• Lead AI Architecture Design : Define end-to-end architecture for AI systems incorporating autonomous agents and LLM-based components, ensuring alignment with business goals.
• Client Workshops & Strategy : Conduct workshops to understand business requirements and identify opportunities for agentic AI, translating business problems into AI architecture blueprints.
• Multi-Agent Framework Orchestration : Design frameworks for multi-agent systems, defining roles and ensuring robust communication and fail-safes.
• Integration & Scalability : Outline integration with existing enterprise ecosystems, ensuring scalability and resilience.
• Leverage Prompt Engineering & RAG : Incorporate advanced prompt engineering techniques and retrieval-augmented generation (RAG) into solution design.
• Technical Leadership in Delivery : Guide engineering teams through prototyping and solution delivery, troubleshooting high-level architectural issues.
• Industry-Tailored Solutions : Customize architectural decisions to industry-specific requirements, balancing reusability with necessary adaptations.
• Emerging Tech Evaluation : Continuously evaluate new tools and methodologies, integrating them into architecture standards.
• Client Engagement & Travel : Work closely with client technology leaders, presenting architectural proposals and reviewing technical designs, with travel as required.
• Ethical & Safe Design : Ensure ethical AI and safety considerations are embedded from the architecture stage, documenting and mitigating potential risks.

What Skills Are Expected

Key Technology Capabilities