Enterprise Architect – AI, Cloud & Python

Position Title:

Location : Hyderabad

Position Overview

Enterprise Architect

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)