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Tata Consultancy Services

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Google Cloud PlatformData EngineeringPythonSnowflakeDatabricksMachine LearningAIAWSComplianceAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

27 August 2026

What they need


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

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