pri AI Solution lead

Tata Consultancy Services; Hyderabad, Bengaluru; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Tata Consultancy Services seeks an AI Solutions Lead to design and deliver scalable AI/GenAI solutions across business domains. You will collaborate with stakeholders, data scientists, and engineers to architect end-to-end AI platforms using modern cloud-native architectures.

The role emphasizes driving AI strategy, building PoCs, and integrating LLMs, RAG, and vector databases, while ensuring governance and security across deployments.

Qualifications

• Advanced knowledge of AI/ML and Generative AI techniques.
• Proficiency with large language models (GPT, Gemini, Claude, Llama).
• Experience with LangChain, LangGraph, and LlamaIndex.
• Understanding of RAG architectures and vector databases.
• Hands-on with vector databases (Pinecone, Chroma, FAISS, Weaviate).
• Strong Python programming skills.
• Experience with Azure AI Services, Azure OpenAI, AWS Bedrock, or Google Vertex AI.
• Knowledge of MLOps and model deployment.
• Familiarity with data engineering concepts and cloud-native architectures.

Responsibilities

• Lead end-to-end AI solution design and implementation.
• Translate business requirements into AI use cases.
• Architect AI/ML/GenAI solutions on cloud platforms.
• Drive AI strategy, roadmap, and innovation initiatives.
• Develop PoCs and production-grade AI applications.
• Integrate LLMs, RAG, vector DBs, and AI agents into workflows.
• Ensure AI solutions meet security, governance, and compliance requirements.
• Mentor AI engineers, data scientists, and technical teams.
• Collaborate with cross-functional teams for delivery.

Skills

AI/ML & GenAI

LLMs

Python

Azure AI Services

MLOps

Cloud architectures

Tools

LangChain

LangGraph

LlamaIndex

Pinecone

Chroma

FAISS

Weaviate

Azure OpenAI

AWS Bedrock

Google Vertex AI

Job description

Job Title: AI Solutions Lead

Experience: 8 to 12+ Years

Location: Hyderabad/Bangalore

Notice Period : Max 30 Days

Employment Type: Full-Time

Role Overview

The AI Solutions Lead is responsible for designing, architecting, and delivering AI/Generative AI solutions that address business challenges. The role involves working closely with stakeholders, data scientists, engineers, and business teams to develop scalable AI solutions using modern AI/ML and GenAI technologies.

Key Responsibilities

• Lead end-to-end AI solution design and implementation.
• Engage with business stakeholders to understand requirements and translate them into AI use cases.
• Architect AI, ML, and Generative AI solutions using cloud platforms.
• Drive AI strategy, roadmap, and innovation initiatives.
• Develop Proof of Concepts (PoCs) and production-grade AI applications.
• Integrate LLMs, RAG frameworks, vector databases, and AI agents into business workflows.
• Ensure AI solutions meet security, compliance, and governance requirements.
• Mentor AI engineers, data scientists, and technical teams.
• Collaborate with cross-functional teams for successful project delivery.

Required Skills

• Strong experience in Artificial Intelligence, Machine Learning, and Generative AI.
• Expertise in LLMs (GPT, Gemini, Claude, Llama).
• Experience with LangChain, LangGraph, LlamaIndex.
• Knowledge of RAG (Retrieval-Augmented Generation) architectures.
• Hands-on experience with Vector Databases (Pinecone, Chroma, FAISS, Weaviate).
• Strong Python programming skills.
• Experience with Azure AI Services, Azure OpenAI, AWS Bedrock, or Google Vertex AI.
• Knowledge of MLOps and AI model deployment.
• Understanding of data engineering concepts and cloud-native architectures.

Preferred Skills

• Experience in AI governance and responsible AI.
• Knowledge of Agentic AI frameworks.
• Experience with Databricks, Snowflake, or Fabric.
• Industry certifications in Azure AI, AWS AI, or GCP AI.

Nice-to-Have Certifications

• Microsoft Certified: Azure AI Engineer Associate
• Azure Solutions Architect Expert
• Databricks Certified Professional
• AWS Machine Learning Specialty
• Google Professional Machine Learning Engineer

Key Technologies

Python | GenAI | LLMs | Azure OpenAI | LangChain | LangGraph | RAG | Vector DBs | MLOps | Azure/AWS/GCP | AI Agents | Machine Learning