Senior AI Architect – AI Automation & Agentic AI

Ixiegaming; Chennai District; On-site; INR 4,000,000 - 6,500,000; Full time

Job summary

Indium seeks a Senior AI Architect to lead design and implementation of enterprise AI automation solutions using Generative AI, LLMs, and Agentic AI. You will partner with business stakeholders to define AI strategies, create scalable architectures, and deliver production-ready systems.

The role requires deep expertise in the AI Development Lifecycle, RAG, and cloud integrations, with a focus on governance, HITL workflows, and reusable frameworks.

Qualifications

• 8+ years in software engineering or enterprise architecture.
• 3+ years designing and deploying production-grade Generative AI/LLM solutions.
• Experience deploying AI with monitoring, governance and security controls.
• Strong client-facing consulting experience with workshops and architecture sessions.
• Certifications in Cloud, AI or Solution Architecture are a plus.

Responsibilities

• Architect end-to-end AI automation solutions for enterprise processes.
• Lead production-ready autonomous AI agents for workflows.
• Design secure, governed AI architectures with HITL capabilities.
• Collaborate with stakeholders to identify automation opportunities.
• Mentor engineering teams and promote reusable AI frameworks.

Skills

LLMs

Generative AI

AI-DLC

Agentic AI

Multi-Agent

RAG

Prompt Eng.

Context Eng.

AI Governance

AI Security

AI Planning

REST APIs

AWS Bedrock

Python

.NET

SQL

Git

Education

Bachelor/Master in CS or AI

Tools

LangChain

LangGraph

Semantic Kernel

CrewAI

AutoGen

AI Agent Orchestration

Job description

Senior AI Architect – AI Automation & Agentic AI

Job Summary

We are looking for a Senior AI Architect to lead the design, architecture, and implementation of enterprise-grade AI automation solutions using Generative AI, Large Language Models (LLMs), and Agentic AI. The ideal candidate will work closely with business stakeholders and clients to understand business challenges, define AI strategies, design scalable solution architectures, and deliver production-ready AI systems.

This role requires deep expertise in the AI Development Lifecycle (AI-DLC), AI orchestration frameworks, Retrieval-Augmented Generation (RAG), enterprise integrations, and cloud AI platforms. The successful candidate will serve as a trusted technical advisor from solution discovery through implementation and production deployment.

Key Responsibilities

• Architect and deliver end-to-end AI automation solutions for enterprise business processes.
• Design and implement Agentic AI and multi-agent systems capable of planning, reasoning, task execution, and collaboration.
• Lead the complete AI Development Lifecycle (AI-DLC), including solution design, data preparation, model evaluation, deployment, monitoring, governance, and continuous optimization.
• Design and develop AI assistants and autonomous agents integrated with enterprise applications, APIs, databases, and business workflows.
• Build Retrieval-Augmented Generation (RAG) solutions using vector databases, embeddings, and enterprise knowledge repositories.
• Design AI-driven workflow orchestration for business functions such as Customer Support, IT Operations, HR, Finance, Sales, Procurement, and Business Process Automation.
• Define secure AI architectures with governance, guardrails, auditability, and compliance, and human‑in‑the‑loop (HITL) workflows.
• Evaluate and recommend appropriate foundation models (OpenAI, Anthropic Claude, Gemini, Llama, Mistral, etc.) based on technical and business requirements.
• Collaborate with business and technology stakeholders to identify automation opportunities and translate them into scalable AI solutions.
• Drive reusable AI frameworks, architecture standards, and best practices across enterprise automation initiatives.
• Provide technical leadership through client workshops, architecture reviews, executive presentations, and solution design sessions.
• Mentor engineering teams and guide AI solution implementation from concept to production.

Required Skills

AI & Generative AI

• Strong expertise in Large Language Models (LLMs) and Generative AI.
• Deep understanding of the AI Development Lifecycle (AI-DLC).
• Experience designing Agentic AI and Multi-Agent Architectures.
• Expertise in Retrieval-Augmented Generation (RAG).
• Strong knowledge of Prompt Engineering and Context Engineering.
• AI Planning, Reasoning, Memory Management, and State Management.
• AI Governance, Responsible AI, and AI Security.

AI Frameworks

Hands‑on experience with one or more of:

• LangChain
• LangGraph
• Semantic Kernel
• CrewAI
• AutoGen
• AI Agent Orchestration Frameworks

Automation & Integration

• Microsoft Power Automate / RPA
• AI‑native workflow orchestration platforms
• REST APIs
• Webhooks
• MCP

Experience with one or more:

• AWS Bedrock
• Equivalent serverless cloud services

Programming

• Python and/or .NET
• SQL
• Git

Preferred Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related discipline.
• 8+ years of experience in Software Engineering, Solution Architecture, or Enterprise Architecture.
• 3+ years of hands‑on experience designing and deploying production‑grade Generative AI and LLM solutions.
• Experience implementing enterprise automation solutions using AI and RPA technologies.
• Strong client‑facing consulting experience, including workshops, solution architecture, and executive presentations.
• Experience deploying AI applications with monitoring, observability, governance, and security controls.
• Relevant Cloud, AI, or Solution Architecture certifications are preferred.

What You'll Drive

• Enterprise AI automation strategy and architecture.
• Production‑ready autonomous AI agents for enterprise workflows.
• Intelligent workflow automation to improve operational efficiency.
• Reusable AI platforms, services, and architectural standards.
• Secure, scalable, governed, and measurable AI solutions delivering tangible business value.
• Generative AI & LLMs
• Agentic AI & Multi‑Agent Systems
• Retrieval-Augmented Generation (RAG)
• AI Governance & Responsible AI
• Workflow Orchestration
• Client Consulting & Stakeholder Management
• Technical Leadership & Mentorship
• Strategic Problem Solving

At Indium, diversity, equity, and inclusion (DEI) are core values. We promote DEI through a dedicated council, expert sessions, and tailored training, fostering an inclusive workplace. Our initiatives, like the WE@IN women empowerment program and DEI calendar, create a culture of respect and belonging. Recognized with the Human Capital Award, we're committed to an environment where everyone thrives. Join us in building a diverse, innovative workplace.

Indium do not solicit or accept any form of fees or payment at any stage of the hiring process.