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    Home/Jobs/Senior AI/ML Engineer AWS

    Senior AI/ML Engineer AWS

    CGI

    Bengaluru / Pune / Hyderabad
    6+ years
    Today
    ₹23–44 LPA
    Full-time
    Hybrid

    Skills Required

    LangChain
    RAG
    AI
    AWS Bedrock
    AWS Cloudformation
    AWS Lambda
    API Gateway
    Graph Databases
    Java
    Machine Learning
    Python
    Apache Spark
    SQLite

    Description

    CGI is seeking a Senior AI/ML Engineer to join their advanced AI engineering team focused on building next-generation intelligent agent solutions and enterprise AI applications.

    Company: CGI

    Role: Senior AI/ML Engineer AWS

    Location: India, Karnataka, Bangalore,Pune, HYD, Hybrid (3 days in office, 2 days WFH)

    Experience:

    • 6+ years of experience in AWS business applications
    • Experience with broader AI and agent frameworks, including hierarchical agents and autonomous agent architectures
    • Experience with CI/CD pipelines, Infrastructure as Code (CDK, CloudFormation, or Terraform), and version control (Git)

    Key Skills:

    • Artificial Intelligence
    • Machine Learning
    • AWS Cloudformation
    • Java
    • SQLite
    • Python
    • Spark
    • LangChain
    • Graph Databases
    • RAG pipelines
    • AWS Bedrock
    • LLM frameworks
    • Serverless architectures
    • API integrations
    • Vector databases
    • Containerized deployments

    Qualification:

    • Bachelor's degree in computer science, Engineering, Information Systems, or a related field
    • Degree in Computer Science, Engineering or Finance

    Role Focus:

    • Design, develop, and deploy intelligent agents using AWS Bedrock, LangChain, Kiro, Graph DB, Strands, and related agent frameworks
    • Build and maintain applications using AWS agent core framework, orchestration layers, and hierarchical agent workflows
    • Develop secure, scalable APIs using AWS Lambda and API Gateway
    • Implement prompt engineering best practices
    • Design and implement RAG pipelines leveraging vector databases and knowledge graphs
    • Monitor, evaluate, and optimize LLM performance, cost, latency, and reliability in production environments

    Nice to have:

    • Experience with Datacap
    • Experience working in FileNet running on Container environment
    • Working experience in Agile methodology
    • Experience in setting up and configuring IBM Enterprise Records (IER)

    Other:

    • Life at CGI is rooted in ownership, teamwork, respect and belonging
    • You are invited to be an owner from day 1
    • Your work creates value
    • You’ll shape your career by joining a company built to grow and last
    • CGI is an equal opportunity employer

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