Description :

Position Title : AI Solution Architect Python, Gen AI.

Exp : 12+ years.

Location : Hyd 5 days office.

Employment Type : Full Time.

Position Overview :

We are seeking an experienced AI 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 cloud platforms (AWS and GCP).

Key Responsibilities :

- Architect and design AI and Large Language Model (LLM) systems using Python, LangChain, LangGraph, OpenAI, 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 12+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, LangChain, LangGraph.

AI Platforms :
- OpenAI, Bedrock, Vertex AI.

Cloud Platforms :
- AWS, GCP.

Infrastructure Tools :
- Kubernetes, Docker, Terraform.

Databases :
- Pinecone, FAISS, Redis (Vector DBs).