Role & responsibilities
8+ years of IT experience, with 2+ years in generative AI, LLMs, or related AI/ML technologies.
Advanced proficiency in Python, with ability to build modular APIs, pipelines, and orchestration frameworks.
Hands-on expertise in at least one generative AI framework: LangChain, LangGraph, Google ADK, Azure AI Studio or AWS Bedrock and understanding of others.
Experience integrating LLMs via APIs (OpenAI, Gemini, Hugging Face, etc.).
Robust knowledge of RAG, embeddings, and vector databases.
Familiarity with PEFT, LoRA, or prompt fine-tuning approaches.
Cloud expertise in at least one hyperscaler (GCP, Azure, or AWS), with working knowledge of:
GCP: Vertex AI, Document AI, BigQuery, AlloyDB, Cloud Run, IAM
Azure: OpenAI Service, Cognitive Search, Azure ML, Azure Functions, Azure Identity
AWS: Bedrock, SageMaker, Lambda, API Gateway, DynamoDB, IAM
Understanding of Docker/Kubernetes, CI/CD, and Git-based version control.
Knowledge of REST APIs, JSON, and frameworks like FastAPI or Flask.
Familiarity with data governance, security, and AI ethics.
Robust problem-solving, project management, and communication skills.
Ability to drive innovation and influence strategic decisions.

📌 Ai Data Architect Hyderabad
🏢 Tata Consultancy Services
📍 Hyderabad