Gen AI Architect - Immediate Joiners (Bengaluru, Chennai, Gurgaon & Pune)

9 - 11 years

0 Lacs

Posted:2 weeks ago| Platform: Foundit logo

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Work Mode

Remote

Job Type

Full Time

Job Description

About Xebia

echnology consulting, software engineering, AI, digital products and platforms, data, cloud, intelligent automation, agile transformation, and industry digitization.

US, Latin America, Western Europe, Poland, the Nordics, the Middle East, and Asia Pacific.

Job Title: Generative AI Lead Engineer

Exp: 9+ yrs

Location: Bengaluru, Chennai, Gurgaon & Pune

Hybrid / Remote

About the Role

Solution Architect (Azure / AWS | Application & AI/ML/Generative AI)

Key Responsibilities

  • Translate client

    business problems into end-to-end solution architectures

    .
  • Design

    cloud-native applications and AI-driven solutions

    using AWS services.
  • Create

    solution diagrams, architecture blueprints, and detailed design documents (HLD & LLD)

    .
  • Architect and guide the delivery of

    Generative AI and Agentic AI solutions

    (AWS Bedrock, SageMaker, LLMOps. Azure).
  • Define

    data pipelines and integration patterns

    using AWS-native services.
  • Ensure solutions follow

    Azure/ AWS Well-Architected best practices

    for scalability, performance, and security.
  • Act as a

    technical leader

    for engineering teams, ensuring design-to-delivery alignment.
  • Stay ahead of

    emerging AI/ML technologies

    and bring innovative approaches to client engagements.
  • Collaborate with

    business and IT stakeholders

    to align technology with business goals.

Skills & Experience

  • Strong experience in

    application architecture

    (cloud-native, microservices, APIs, integration patterns).
  • Hands-on expertise with

    AWS services / Azure

    for applications, data, and AI/ML.
  • Strong knowledge of

    Generative AI, Agentic AI, and LLMOps

    .
  • Proven ability to create

    end-to-end solution designs (HLD/LLD)

    and lead technical delivery.
  • Experience in

    enterprise data platforms

    (data lakes, ETL, analytics) on AWS.
  • Excellent

    consulting, communication, and client-facing skills

    .

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