Agentic AI Architect

Cai Info India; Bengaluru; Hybrid; INR 3,500,000 - 6,500,000; Full time

Job summary

Cai Info India in Bengaluru seeks an experienced AI Architect specializing in Agentic AI to design scalable AI ecosystems, lead architecture discussions with customers, and guide implementation with engineering teams.

You will work with LangGraph, LangChain, AutoGen and other frameworks to translate requirements into robust architectures, mentor engineers, and craft actionable roadmaps that meet governance and security standards.

Qualifications

• 10–15 years in engineering, IT or software architecture.
• 4+ years in AI/ML or Generative AI, with 1.5–2+ years hands‑on agentic AI.
• Experience designing autonomous agents and multi‑agent systems.
• Strong knowledge of LLMs, RAG, embeddings and model evaluation.

Responsibilities

• Design enterprise-level Agentic AI and multi‑agent solutions.
• Translate requirements into scalable AI architectures.
• Build solutions using Generative AI, LLMs, RAG, and autonomous agents.
• Integrate AI with enterprise platforms, APIs, and databases.
• Lead customer discussions, requirement gathering, and proposals.
• Guide AI engineers and development teams through implementation.
• Ensure security, Responsible AI, governance, and performance standards.

Skills

Agentic AI design

LLMs

Python

Architecture leadership

Stakeholder management

Generative AI

Multi-agent systems

Tools

LangGraph

LangChain

AutoGen

CrewAI

Semantic Kernel

LlamaIndex

Job description

AI Architect Agentic AI

Job Summary

We are looking for an experienced AI Architect specializing in Agentic AI with a strong background in engineering, such as Mechanical, Electrical, Electronics, Computer Science, or IT. The candidate will design scalable AI solutions, work directly with customers and stakeholders, propose suitable architectures, and provide technical leadership during implementation.

Key Responsibilities

• Design enterprise-level Agentic AI and multi-agent solutions.
• Translate business and engineering requirements into scalable AI architectures.
• Build solutions using Generative AI, LLMs, RAG, autonomous agents, and intelligent workflows.
• Integrate AI solutions with enterprise platforms, APIs, databases, and engineering systems.
• Lead customer discussions, requirement-gathering sessions, solution presentations, and technical proposals.
• Guide AI engineers and development teams throughout solution implementation.
• Ensure AI solutions follow security, Responsible AI, governance, performance, and scalability standards.

Required Skills and Experience

• 10–15 years of overall experience in engineering, IT, software development, AI, data, or solution architecture.
• Minimum 4+ years of experience in AI/ML or Generative AI, including 1.5–2+ years of hands‑on Agentic AI experience.
• Experience designing autonomous agents, multi-agent systems, tool‑calling workflows, and agent orchestration.
• Strong knowledge of LLMs, RAG, prompt engineering, embeddings, vector databases, and model evaluation.
• Hands‑on experience with frameworks such as LangGraph, LangChain, AutoGen, CrewAI, Semantic Kernel, or LlamaIndex.
• Strong programming experience in Python and knowledge of APIs and microservices.
• Experience with Azure, AWS, or GCP.
• Strong customer‑facing, stakeholder‑management, solutioning, and presentation skills.
• Ability to create architecture documents, technical proposals, POCs, and implementation roadmap