GenAI Solution Architect

7 hours ago

Bengaluru, Karnataka, India 585a8be8-c90a-464c-b0f6-1b629e32ec16 Full time ₹ 2,00,000 - ₹ 6,00,000 per year

About the Role

We are seeking a
seasoned AI / GenAI Solution Architect
with deep expertise in
AI/ML, LLMs, and Agentic Frameworks
, who can design, build, and deliver enterprise-grade GenAI platforms. The ideal candidate will have strong technical acumen in
Python, Azure AI stack, and CoPilot integrations
, combined with hands-on experience in
solution architecture, client engagement, and RFP/RFI leadership
.

Key Responsibilities

  • Architect and deliver
    end-to-end GenAI, LLM, and Agentic AI solutions
    for enterprise clients.
  • Design
    scalable, secure, and cost-effective AI-ready architectures
    leveraging cloud technologies (Azure preferred).
  • Provide technical leadership in
    GenAI framework design
    , MLOps, and LLMOps implementations.
  • Develop
    AI CoPilots, chatbots, and agentic workflows
    using modern frameworks and APIs.
  • Lead
    proposal creation, estimations, and RFP/RFI responses
    for AI/GenAI engagements.
  • Collaborate with clients as a
    trusted AI advisor
    , driving solution roadmaps and transformation initiatives.
  • Build
    reference architectures, reusable components, and accelerators
    for GenAI adoption.
  • Collaborate cross-functionally with
    data engineering, product, and cloud teams
    to ensure successful delivery.

Required Qualifications & Skills

Experience:

  • 15+ years
    of overall IT experience, with
    5+ years as an AI/ML/GenAI Architect.

Technical Expertise:

  • Strong hands-on expertise in
    Python
    for AI/ML development.
  • Proven experience designing and implementing
    LLM and Agentic AI architectures.
  • Deep understanding of
    GenAI frameworks, MLOps, and LLMOps.
  • Strong exposure to
    data engineering pipelines
    (ETL, data lakes, orchestration).
  • Hands-on with
    Azure AI stack
    (Azure OpenAI, Cognitive Services, CoPilot, AI Studio).
  • Additional experience with
    GCP or AWS AI/ML services
    preferred.
  • Familiarity with
    Databricks, Snowflake, Palantir, or similar data platforms.

Client & Leadership Skills:

  • Proven success in
    client-facing roles
    , handling
    RFPs, proposals, and estimations.
  • Excellent
    stakeholder management, communication, and leadership
    abilities.
  • Ability to mentor teams and build
    GenAI solution accelerators
    and PoCs.

Preferred Certifications:

  • Azure AI Engineer / Azure Solution Architect / GCP ML Engineer / AWS ML Specialist
    certifications are an advantage.

Domain Exposure (Preferred):

  • Experience in
    BFSI, Healthcare, Manufacturing, or Public Sector
    with
    regulatory-compliant AI systems.

Key Highlights

  • Hands-on
    Python, GenAI, LLM, and Agentic architecture
    experience
  • Strong
    Azure and CoPilot
    expertise
  • Ability to
    build
    (not just conceptualize) GenAI and agentic frameworks
  • Deep understanding of
    AI transformation programs
    at enterprise scale

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