AGENTIC ARCHITECT - Solution Design

Happiest Minds Technologies · IT Services & Consulting

Bengaluru
On-site
Posted today
Data & AI

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About the job

Agentic Architect

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.

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.

Qualifications

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.

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