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    Job · 14782012

    BENGALURU · FULLTIME

    AI Solution lead

    Tata Consultancy Services logo

    Tata Consultancy Services

    Bengaluru · onsite · Posted 52d ago

    Sourced fromFoundit
    Not disclosed8–12 yrsfulltimeBengaluru

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    Section · 01

    About this role

    AI Solutions Lead

    Job Title: AI Solutions Lead

    Experience: 8–12+ 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

    Sourced from foundit

    Section · 02

    Skills

    Retrieval Augmented GenerationclaudeLlamaMLOpsaws bedrockFAISSWeaviategeminiChromaDBAzure OpenAIvector databasesLarge Language Models (LLMs)Azure AI ServicesGoogle Vertex AIPythonPinecone DBgptLanggraphLangchainGenerative AiLlamaindexArtificial IntelligenceMachine Learning

    Section · Company

    About TCS

    Tata Consultancy Services logo

    Tata Consultancy Services

    IT Services & Consulting

    608.0k+

    employees

    1968

    58 years old

    Mumbai, Maharashtra

    India

    About

    An IT services and consulting firm offering business solutions, committed to driving innovation for global enterprises.

    Industries

    IT Services & ConsultingFinancial ServicesInternetEducation & TrainingBPO

    Employee ratings

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    3.3/ 5

    Culture

    3.2

    Career growth

    2.3

    Work-life

    3.5

    Employees rate it well for

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