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    Zensar Technologies logo

    Gen AI Lead

    Zensar Technologies · Hyderabad · onsite · Posted 22d ago

    Undisclosed8–15 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Job Summary

    We are seeking an experienced Generative AI Lead to drive the strategy, architecture, development, and deployment of enterprise-grade AI solutions. The role will lead a team of AI engineers, data scientists, and application developers to build innovative solutions leveraging Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), and intelligent automation technologies.

    The ideal candidate should possess strong technical expertise, leadership capabilities, stakeholder management skills, and experience delivering AI solutions at scale.

    Required Technical Skills

    Generative AI

    • Large Language Models (LLMs)
    • Prompt Engineering
    • Agentic AI
    • Retrieval-Augmented Generation (RAG)
    • Fine-tuning and Model Evaluation
    • Function Calling and Tool Integration
    • AI Guardrails & Responsible AI

    Frameworks & Tools

    • LangChain
    • LangGraph
    • LlamaIndex
    • Semantic Kernel
    • CrewAI
    • AutoGen
    • Azure AI Foundry

    Programming

    • Python (Mandatory)
    • FastAPI
    • REST APIs
    • Microservices Architecture

    Vector Databases

    • Pinecone
    • Weaviate
    • ChromaDB
    • FAISS
    • Azure AI Search

    Cloud Platforms

    • Microsoft Azure (Preferred)
    • AWS Bedrock
    • Google Vertex AI

    DevOps & MLOps

    • GitHub
    • Azure DevOps
    • Docker
    • Kubernetes
    • CI/CD Pipelines
    • MLflow

    Preferred Experience

    • Experience delivering enterprise GenAI programs.
    • Building AI solutions using Azure OpenAI.
    • AI integration with SAP ECC/S4HANA, Microsoft 365, SharePoint, Teams, Salesforce, and ServiceNow.
    • Experience in Healthcare, Pharmaceutical, Manufacturing, BFSI, or Retail domains.
    • Managing distributed global delivery teams.

    Qualifications

    • Bachelors or Masters degree in Computer Science, AI, Data Science, Engineering, or related field.
    • 8-15 years of overall IT experience.
    • 3+ years of hands-on AI/ML or Generative AI experience.
    • Azure AI Engineer, Azure OpenAI, AWS AI/ML, or equivalent certifications preferred.

    Key Performance Indicators (KPIs)

    • Successful delivery of GenAI initiatives.
    • AI adoption and business value realization.
    • Reduction in operational effort through automation.
    • Accuracy and reliability of AI solutions.
    • Team capability development and innovation outcomes.
    • Governance and compliance adherence.

    Ideal Candidate Profile

    • Strong leadership and stakeholder management skills.
    • Ability to engage CXOs and business leaders.
    • Excellent problem-solving and analytical abilities.
    • Experience building and leading high-performing AI teams.
    • Strong communication and presentation skills.

    Key Responsibilities

    AI Strategy & Leadership

    • Define and execute the organizations Generative AI roadmap.
    • Identify business opportunities for AI-driven transformation and automation.
    • Lead AI initiatives from ideation through implementation and production deployment.
    • Partner with business leaders to prioritize GenAI use cases and measure business value.
    • Establish AI governance, security, compliance, and Responsible AI practices.

    Solution Architecture

    • Design enterprise AI architectures using:
      • Large Language Models (OpenAI, Azure OpenAI, Claude, Gemini, Llama)
      • RAG frameworks
      • Multi-Agent Systems
      • AI Copilots and Chatbots
    • Define scalable architecture patterns for AI applications.
    • Develop reusable AI accelerators, frameworks, and best practices.

    Technical Delivery

    • Lead the development of:
      • AI Assistants
      • Enterprise Copilots
      • Knowledge Management Solutions
      • Intelligent Document Processing
      • Code Generation Solutions
      • AI-powered Business Automation
    • Oversee model selection, prompt engineering, evaluation, testing, and deployment.
    • Drive integration of AI solutions with SAP, Microsoft 365, CRM, ERP, ServiceNow, and enterprise applications.

    Team Leadership

    • Manage and mentor GenAI engineers and solution architects.
    • Conduct technical reviews and provide architectural guidance.
    • Drive innovation through hackathons, PoCs, and AI labs.
    • Build AI competency within the organization.


    Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

    Skills

    SAPAutomationcrmenterprise applicationsbfsiPythonHealthcareERPsalesforceMicrosoft

    About Zensar Technologies

    Zensar Technologies logo

    Zensar Technologies

    IT Services & Consulting

    10.0k+

    employees

    2001

    25 years old

    Pune, Maharashtra

    India

    About

    Zensar is a global organization that conceptualizes, builds, and manages digital products through experience design, data engineering, and advanced analytics for leading companies.

    Industries

    IT Services & Consulting

    Employee ratings

    2,994 reviews

    3.7/ 5

    Culture

    3.5

    Career growth

    3.0

    Work-life

    3.8

    Employees rate it well for

    Work Life Balance442Work Culture366Senior Management300Salary295Job Security229

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