AI & Intelligent Automation Architect

Espire Infolabs; Gurugram District; Hybrid; INR 3,500,000 - 7,000,000; Full time

Job summary

Espire Infolabs seeks an AI & Intelligent Automation Architect to design and deliver AI-driven automation and intelligent enterprise solutions leveraging Generative AI, LLMs, and enterprise automation platforms.

The role combines solution architecture, hands‑on development, and leadership across AWS/Azure cloud services, RPA technologies, and data pipelines to drive scalable AI systems for complex enterprise use cases.

Qualifications

• 12-15+ years of software engineering, automation, and solution architecture.

Responsibilities

• Design and implement enterprise AI solutions leveraging LLMs, agentic AI, and generative AI capabilities.
• Architect multi-agent AI systems using LangGraph, LangChain, and Hugging Face.
• Build Retrieval Augmented Generation (RAG) architectures with enterprise knowledge repositories.
• Implement prompt engineering, embeddings, and vector search for conversational AI.
• Design and deploy AI/data platforms on AWS/Azure using modern data pipelines.

Skills

Generative AI

Agentic AI

Solution architecture

Hands-on development

Enterprise automation

Tools

LangGraph

LangChain

Hugging Face

PySpark

Delta Lake

SageMaker

Bedrock

OpenSearch

Vector DBs

AWS Lambda

Step Functions

API Gateway

S3

Glue

FastAPI

Flask

Django

Job description

Job Title: AI & Intelligent Automation Architect

Role Overview

We are seeking an experienced AI & Intelligent Automation Architect with strong expertise in Generative AI, Agentic AI, and enterprise automation platforms. The role will be responsible for designing and delivering AI-driven automation and intelligent enterprise solutions leveraging AWS cloud services, modern AI frameworks, and RPA technologies.

The ideal candidate will combine solution architecture expertise, hands-on development capability, and enterprise automation experience to design scalable AI systems, implement intelligent workflows, and lead end‑to‑end solution delivery for complex enterprise use cases.

Key Responsibilities

AI & Generative AI Architecture

• Design and implement enterprise‑grade AI solutions leveraging Large Language Models (LLMs), Agentic AI frameworks, and generative AI capabilities.
• Architect multi‑agent AI systems using frameworks such as LangGraph, LangChain, and Hugging Face.
• Build Retrieval Augmented Generation (RAG) architectures integrating LLMs with enterprise knowledge repositories.
• Implement prompt engineering strategies, embeddings, and vector search for conversational AI and intelligent assistants.

Cloud & Data Engineering (AWS)

• Design and deploy AI and data platforms on AWS cloud infrastructure.
• Leverage services such as:
• Amazon Bedrock / SageMaker for AI/ML model development and deployment
• Amazon OpenSearch / Vector DBs for semantic search
• AWS Lambda, Step Functions, and API Gateway for orchestration
• Amazon S3 and AWS Glue for data engineering pipelines
• Develop scalable ETL/ELT pipelines using PySpark and distributed processing frameworks.
• Implement modern data architectures including Lakehouse and Medallion architectures.

Intelligent Automation

• Architect and implement enterprise automation solutions using RPA platforms such as: UiPath / Blue Prism / Robocorp / SAP iRPA / Power Automate / Intelligent Document Processing (IDP)
• Integrate AI/ML capabilities with RPA to build hyperautomation solutions.
• Automate business processes across Web, Windows, Mainframe, SAP, and API systems.

AI Platform Engineering

• Build AI-driven applications using Python-based frameworks such as FastAPI, Flask, or Django.
• Develop microservices‑based AI architectures integrated with enterprise systems.
• Implement MLOps practices including experiment tracking, model lifecycle management, and deployment automation.

Architecture & Delivery Leadership

• Lead solution architecture design and technical governance for AI and automation programs.
• Collaborate with business stakeholders, product teams, and engineering teams to translate requirements into scalable solutions.
• Define architecture standards, frameworks, and reusable assets for enterprise AI platforms.
• Mentor engineering teams and provide guidance on best practices for AI solution development and deployment.

Required Skills & Experience

Experience

• 1215+ years of experience in software engineering, automation, and solution architecture.
• Hands‑on experience in Generative AI or Agentic AI implementations.
• Proven experience delivering enterprise‑scale AI and automation solutions.

AI & Machine Learning

• Generative AI and LLM integration
• Agentic AI and multi‑agent architectures
• Prompt engineering and RAG frameworks
• LangGraph, LangChain, Hugging Face
• Vector search and embeddings

Cloud

Strong experience designing AI and data platforms using Azure / AWS services

Data Engineering

• PySpark
• Delta Lake / Lakehouse architectures
• SQL databases (PostgreSQL, MySQL, MS SQL)
• Data pipeline design and optimization

Programming & Development

• Python
• JavaScript
• FastAPI / Flask / Django
• REST API development
• Frontend frameworks (React or Angular)