Agentic AI Architect

We are Hiring for,
Position : Agentic AI Architect (Fulltime)

Location : San Francisco Bay Area, New York / New Jersey, Atlanta, Chicago, and Dallas, VA

Job Description:

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
• AI/ML Solution Architecture: Extensive experience in designing and architecting AI or machine learning solutions in an enterprise context.
• Deep Technical Knowledge: Strong understanding of machine learning and AI techniques, especially Generative AI and large language models.
• Multi-Agent System Design: Knowledge of multi-agent system patterns and frameworks.
• Prompt Engineering & RAG: Ability to craft effective prompts and chaining strategies for LLMs, familiar with retrieval-augmented generation methods.
• AI Ethics & Responsible AI: Strong grasp of AI ethics and safety principles, able to identify ethical risks and design mitigations.
• Cloud & Distributed Systems: Deep understanding of cloud architecture and distributed system design.
• Data Management: Solid understanding of data architecture as it relates to AI, including data pipelines, databases, and data lakes.
• Leadership & Communication: Excellent communication and stakeholder management skills, capable of leading discussions with C-level executives and technical brainstorming with engineers.
• Consulting and Domain Acumen: Prior consulting or client-facing experience, adept at requirement gathering and crafting proposals.
• Problem-Solving & Innovation: Creative mindset to devise innovative solutions leveraging AI agents, strong problem-solving skills.
• Continuous Learning: Demonstrated habit of continuous learning, staying updated via research papers, conferences, or hands-on experimentation.
• Key Technology Capabilities
• AI & ML Frameworks: Familiarity with major AI/ML frameworks and services, including OpenAI GPT models, Google PaLM/Vertex AI, and Hugging Face Transformers library.
• SaaS AI & Data Platforms: Experience with leading SaaS AI & Data platforms in terms of agentic AI development, implementation, orchestration, AI guardrails
• Agentic AI Tooling: Exposure to frameworks and libraries for building AI agents and chains, such as LangChain ,Microsoft s Semantic Kernel.
• Retrieval Systems: Strong knowledge of search and retrieval technologies, including vector databases and semantic search.
• Cloud Services: Expertise in cloud ecosystems (AWS, Azure, Google Cloud Platform), including cloud AI services, serverless computing, containerization, and related DevOps tools.
• Programming & Scripting: Proficiency in programming languages commonly used for AI and integration, primarily Python and at least one general-purpose language.
• Data Platforms: Knowledge of modern data platforms, including relational databases, NoSQL stores, and data processing frameworks.
• Integration & APIs: Experience designing and using APIs and middleware, knowledge of event-driven architectures and message brokers.
• DevOps & MLOps: Familiar with CI/CD pipelines and infrastructure as code, understanding of MLOps principles and tools.
• Security & Compliance Tools: Comfort with technologies for securing AI applications, including identity and access management, encryption, and compliance tools.
• Collaboration & Design: Proficient with tools used in architecture and design documentation, including UML design tools and agile project management tools.
• Emerging Tech: Awareness of emerging tech such as knowledge graphs and reinforcement learning frameworks.
• If this role aligns with your expertise and interests, I d love to discuss it further and address any questions you might have. Please feel free to reply to this email with your updated resume or suggest a suitable time for us to connect.
• Looking forward to hearing from you!

Rahul Bharati

Sr. Consultant (Recruitment Wing) | Consulting & Technology

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