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.).
- Solid 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.
- Strong problem-solving, project management, and communication skills.
- Ability to drive innovation and influence strategic decisions.

📌 AI Data Architect (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad