AGENTIC ARCHITECT - Solution Design

Happiest Minds Technologies; Bengaluru; On-site; INR 3,500,000 - 7,500,000; Full time

Job summary

Happiest Minds Technologies in Bengaluru seeks an experienced Agentic Architect to design and deliver scalable AI-agent solutions using Generative AI and LLM technologies. You will lead architecture design and work hands-on with AI frameworks.

The role requires hands-on coding in Python/Node.js/TypeScript, integration with enterprise systems, and building production-ready architectures with a focus on security, observability, and governance.

Qualifications

• Experience in Solution/Enterprise Architecture with Generative AI.
• Hands-on work with LLMs, RAG, AI agents, prompt/context engineering, and orchestration.
• Experience with LangGraph or LangChain or similar frameworks.

Responsibilities

• Design agentic AI architectures and multi-agent workflows.
• Define scalable, secure, production-ready AI solution architectures.
• Integrate AI agents with enterprise applications, Web APIs, databases, and workflows.
• Design and implement AI solutions using LangGraph or LangChain.
• Hands-on development with Python, Node.js, or TypeScript to prototype AI agents.
• Evaluate LLMs, AI frameworks, vector databases, and cloud tech.
• Establish best practices for AI security, governance, observability, and evaluation.
• Collaborate with engineering and business teams to drive AI solutions.
• Guide teams on agent design, RAG, prompt engineering, orchestration, and AI development.

Skills

Solution/Enterprise Architecture

Generative AI

LLMs

RAG

Prompt/Context Engineering

Orchestration

Python

Node.js

Typescript

Education

Bachelor's or Master's degree in Computer Science/Engineering

Tools

LangGraph

LangChain

Azure Cloud

AWS

GCP

Vector Databases

Embeddings

Web APIs

Databases

Job description

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

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.