Agentic ArchitectLocation: 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 solid background in solution architecture, hands-on experience with AI frameworks, and a passion for driving innovation in AI applications.

Key Responsibilities

- 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.

Mandatory Skills




- 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.

Preferred 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.

QualificationsBachelor'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.

📌 AGENTIC ARCHITECT - Solution Design (Bengaluru)
🏢 Happiest Minds Technologies
📍 Bengaluru