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    Job · 18733012

    Iris Software logo

    Associate Architect- SDLC

    Iris Software · Noida · onsite · Posted 30d ago

    Undisclosed8–13 yrsfulltimeSourced fromNaukri

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

    About this role

    Job Title

    Technical Lead / Senior Software Engineer SDLC & Generative AI

    Experience

    8+ Years


    Job Summary

    We are seeking an experienced Technical Lead/Senior Software Engineer with strong expertise in Software Development Life Cycle (SDLC) and Generative AI technologies. The ideal candidate should have hands-on experience designing, developing, and deploying enterprise-grade applications while leveraging GenAI frameworks, LLMs, RAG architectures, and AI agent-based solutions.

    The candidate will be responsible for driving end-to-end software delivery, collaborating with cross-functional teams, and building scalable AI-powered solutions on cloud platforms.

    Key Responsibilities

    SDLC & Engineering

    • Drive end-to-end SDLC activities including requirement gathering, effort estimation, design, development, testing, deployment, and production support.
    • Participate in architecture discussions, HLDs, LLDs, and technical decision-making.
    • Ensure code quality through code reviews, unit testing, and best engineering practices.
    • Work in Agile/Scrum environments and contribute to sprint planning and execution.
    • Implement CI/CD pipelines and DevOps best practices.
    • Troubleshoot production issues and drive root cause analysis.

    Generative AI

    • Design and develop GenAI solutions using Large Language Models (LLMs).
    • Build and maintain RAG (Retrieval-Augmented Generation) applications.
    • Develop AI Agents and Agentic workflows.
    • Integrate LLMs such as OpenAI, Azure OpenAI, Claude, Gemini, or Bedrock.
    • Implement prompt engineering, model evaluation, and optimization techniques.
    • Work with vector databases and semantic search solutions.
    • Build scalable AI services and APIs for enterprise applications.

    Architecture & Cloud

    • Design scalable microservices and distributed systems.
    • Develop cloud-native applications on AWS, Azure, or GCP.
    • Utilize containerization and orchestration technologies such as Docker and Kubernetes.
    • Ensure security, performance, scalability, and observability standards.

    Sourced from naukri

    Skills

    amazon web servicesSpring BootJavaMicroservicesAgentic AiGenerative Ai

    About Iris Software

    Iris Software logo

    Iris Software

    IT Services & Consulting

    4.3k+

    employees

    1991

    35 years old

    Edison, New Jersey

    United States (USA)

    About

    IT company for best tech-solutions to enhance business operations

    Industries

    IT Services & Consulting

    Employee ratings

    1,895 reviews

    3.8/ 5

    Culture

    3.7

    Career growth

    3.3

    Work-life

    3.8

    Employees rate it well for

    Work Life Balance381Work Culture267Senior Management254Learning202Salary156

    Find them on

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    Associate Architect- SDLC · waiting for your command