AGENTIC ARCHITECT - Solution Design

Location: SMILES 2, Bengaluru, Bengaluru

Years of Experience: 10-13 Years

Job Summary: We are seeking an experienced Agentic Architect to design and deliver scalable AI-agent solutions utilizing Generative AI and Large Language Model (LLM) technologies. The ideal candidate will have a strong background in solution architecture, hands-on experience with AI frameworks, and a passion for driving innovation in AI applications.

• Design agentic AI architectures, multi-agent workflows, Retrieval-Augmented Generation (RAG) solutions, and tool/function-calling solutions.
• Define scalable, secure, and production-ready AI solution architectures.
• Integrate AI agents with enterprise applications, WEB APIs, databases, and business workflows.
• Design and implement AI solutions using frameworks such as LangGraph, LangChain, or equivalent.
• Work hands-on with Python, Node.js, or Typescript to build and prototype AI-agent solutions.
• Evaluate LLMs, AI frameworks, vector databases, and cloud technologies.
• Establish best practices for AI security, Learning Governance, observability, and evaluation.
• Collaborate closely with engineering and business teams to drive AI solutions.
• Guide teams on agent design, RAG, prompt/context engineering, orchestration, and AI application development.

• Strong experience in Solution/Enterprise Architecture and Generative AI.
• Hands-on knowledge of LLMs, RAG, AI agents, prompt/context engineering, and orchestration.
• Hands-on experience with LangGraph, LangChain, or equivalent agent frameworks.
• Good coding experience with Python, Node.js, and/or Typescript.
• Experience integrating AI solutions with WEB APIs, databases, enterprise applications, and business workflows.
• Experience with cloud platforms such as Azure Cloud, AWS, or GCP.
• Knowledge of vector databases, embeddings, retrieval, and RAG architectures.
• Strong understanding of AI security, Learning Governance, observability, and evaluation.
• Strong communication and technical leadership skills.

• Experience with multi-agent systems and advanced LangGraph workflows.
• Experience with LLM evaluation, AI observability, and guardrails.
• Knowledge of Model Context Protocol (MCP) and MS copilot 365.
• Experience with Azure openAI, Google Vertex AI, or similar platforms.

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Proven track record of designing and implementing AI solutions in a production environment.

Ability to work collaboratively in a fast-paced environment and manage multiple projects simultaneously.