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 contemporary 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)

📌 AI & Intelligent Automation Architect (Gurugram)
🏢 Espire Infolabs
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