ClifyX
Job Description:
The Agentic AI Architect is a senior-level, client-facing role within TCS's AI & Data business unit in the Americas. This position is responsible for designing next-generation AI solutions that leverage autonomous, agentic AI systems-AI that can make decisions, take actions, and adapt independently. The architect will lead the design and delivery of scalable, ethical, and industry-specific AI architectures across sectors such as BFSI, Manufacturing, Life Sciences, Telecom, Retail, and more.
Key Responsibilities: • AI Architecture Design: Define end-to-end architectures for AI systems incorporating autonomous agents and LLM-based components. • Client Engagement: Conduct workshops and consulting sessions to translate business needs into AI architecture blueprints. • Multi-Agent Orchestration: Design frameworks for multi-agent systems, including agent roles, coordination protocols, and fail-safes. • Enterprise Integration: Plan secure, scalable integration with enterprise systems (e.g., ERP, IoT, core banking). • Prompt Engineering & RAG: Implement advanced prompt engineering and retrieval-augmented generation strategies. • Technical Leadership: Guide engineering teams through prototyping and delivery, ensuring architectural integrity. • Industry-Specific Customization: Tailor AI solutions to meet compliance, personalization, or privacy needs across industries. • Emerging Tech Evaluation: Continuously assess and integrate new AI tools, frameworks, and methodologies. • Ethical AI Design: Embed responsible AI principles (e.g., transparency, fairness, security) into system architecture. • Client-Facing Delivery: Present architectural proposals, lead discovery sessions, and support critical deployment phases.
Qualifications: • 8+ years of experience in AI/ML solution architecture in enterprise environments. • Strong knowledge of Generative AI, LLMs, and agentic AI frameworks (e.g., LangChain, Semantic Kernel). • Proficiency in prompt engineering and retrieval-augmented generation (RAG). • Experience with multi-agent system design and orchestration. • Deep understanding of cloud platforms (AWS, Azure, GCP) and distributed systems. • Familiarity with AI/ML frameworks (OpenAI, Hugging Face, TensorFlow, PyTorch). • Strong grasp of data architecture, vector databases (e.g., Pinecone, FAISS), and semantic search. • Proficiency in Python and at least one general-purpose language (Java, C#, Node.js). • Experience with API design, microservices, and enterprise integration patterns. • Knowledge of DevOps/MLOps tools and practices. • Understanding of responsible AI principles (e.g., SAFTI, fairness, transparency). • Strong client-facing skills and ability to lead workshops and explain AI concepts to non-technical stakeholders. • Proven ability to lead cross-functional teams and mentor junior engineers. • Demonstrated commitment to continuous learning and staying current with AI trends.
The Agentic AI Architect is a senior-level, client-facing role within TCS's AI & Data business unit in the Americas. This position is responsible for designing next-generation AI solutions that leverage autonomous, agentic AI systems-AI that can make decisions, take actions, and adapt independently. The architect will lead the design and delivery of scalable, ethical, and industry-specific AI architectures across sectors such as BFSI, Manufacturing, Life Sciences, Telecom, Retail, and more.
Key Responsibilities: • AI Architecture Design: Define end-to-end architectures for AI systems incorporating autonomous agents and LLM-based components. • Client Engagement: Conduct workshops and consulting sessions to translate business needs into AI architecture blueprints. • Multi-Agent Orchestration: Design frameworks for multi-agent systems, including agent roles, coordination protocols, and fail-safes. • Enterprise Integration: Plan secure, scalable integration with enterprise systems (e.g., ERP, IoT, core banking). • Prompt Engineering & RAG: Implement advanced prompt engineering and retrieval-augmented generation strategies. • Technical Leadership: Guide engineering teams through prototyping and delivery, ensuring architectural integrity. • Industry-Specific Customization: Tailor AI solutions to meet compliance, personalization, or privacy needs across industries. • Emerging Tech Evaluation: Continuously assess and integrate new AI tools, frameworks, and methodologies. • Ethical AI Design: Embed responsible AI principles (e.g., transparency, fairness, security) into system architecture. • Client-Facing Delivery: Present architectural proposals, lead discovery sessions, and support critical deployment phases.
Qualifications: • 8+ years of experience in AI/ML solution architecture in enterprise environments. • Strong knowledge of Generative AI, LLMs, and agentic AI frameworks (e.g., LangChain, Semantic Kernel). • Proficiency in prompt engineering and retrieval-augmented generation (RAG). • Experience with multi-agent system design and orchestration. • Deep understanding of cloud platforms (AWS, Azure, GCP) and distributed systems. • Familiarity with AI/ML frameworks (OpenAI, Hugging Face, TensorFlow, PyTorch). • Strong grasp of data architecture, vector databases (e.g., Pinecone, FAISS), and semantic search. • Proficiency in Python and at least one general-purpose language (Java, C#, Node.js). • Experience with API design, microservices, and enterprise integration patterns. • Knowledge of DevOps/MLOps tools and practices. • Understanding of responsible AI principles (e.g., SAFTI, fairness, transparency). • Strong client-facing skills and ability to lead workshops and explain AI concepts to non-technical stakeholders. • Proven ability to lead cross-functional teams and mentor junior engineers. • Demonstrated commitment to continuous learning and staying current with AI trends.