Enterprise Architect - AI, Cloud & Python

Position Title : Enterprise Architect – AI, Cloud & Python Location : Hyderabad

Position Overview

We are seeking an experienced Enterprise Architect to lead large-scale digital transformation initiatives with a focus on AI, Machine Learning, Cloud Engineering, and Python development . The ideal candidate will be a hands-on technical leader with deep expertise in modern AI architectures, LLM systems, and multi-cloud platforms (AWS and GCP).

Key Responsibilities

Architect and design AI and Large Language Model (LLM) systems using Python, Lang Chain, Lang Graph, Open AI, Bedrock, and Vertex AI .

Develop and implement Retrieval-Augmented Generation (RAG) pipelines, agentic AI frameworks, and vector-based search solutions.

Lead the multi-cloud architecture across AWS and GCP environments, leveraging microservices, Kubernetes, and serverless technologies.

Design and optimize machine learning pipelines , data engineering frameworks , and scalable AI platforms for enterprise applications.

Collaborate with executive leadership to define strategic AI objectives and technical roadmaps.

Mentor cross-functional engineering teams and ensure adherence to best practices in architecture, DevOps, and deployment.

Deliver high-quality, production-ready AI solutions that align with organizational goals.

Required Qualifications

Minimum of 15 years of experience in enterprise architecture or technology leadership.

Strong hands-on Python coding skills; ability to design, build, and debug AI systems directly.

Proven expertise in AI, LLMs, Cloud Architecture, Microservices, and DevOps .

Deep technical understanding of AWS and GCP environments.

Experience with Kubernetes, Docker, Terraform , and modern vector databases such as Pinecone, FAISS, and Redis.

Excellent problem-solving skills, logical reasoning, and team leadership abilities.

Technical Stack

Languages & Frameworks : Python, Lang Chain, Lang Graph

AI Platforms : OpenAI, Bedrock, Vertex AI

Cloud Platforms : AWS, GCP

Infrastructure Tools : Kubernetes, Docker, Terraform

Databases : Pinecone, FAISS, Redis (Vector DBs)