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Espire Infolabs - AI & Intelligent Automation Architect

Espire Infolabs
10 - 20 Years
Gurgaon/Gurugram

Posted on: 21/08/2026

Job Description

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.

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, OpenSearch, AWS Lambda, Step Functions, S3, and AWS Glue.

- 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, or Power Automate.

- Integrate AI/ML capabilities with RPA to build hyperautomation solutions.

AI Platform Engineering :

- Build AI-driven applications using Python-based frameworks such as FastAPI, Flask, or Django.

- 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 to translate requirements into scalable solutions.

- Define architecture standards and mentor engineering teams.

Tech Stack :

- Generative AI, LLMs, Agentic AI, LangGraph, LangChain, Hugging Face, AWS, Python, PySpark, RPA (UiPath/Blue Prism/Power Automate), FastAPI, React/Angular.

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