Role & 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
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 Architect Gen Ai, Agentic Ai Delhi (India)
🏢 Espire Infolabs
📍 India