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AI / GenAI Solution Architect

AI / GenAI Solution Architect

RecroThoothukudi, IN
17 hours ago
Job description

Location : Bangalore

Experience : 15+ years (including 5+ years in AI / ML / GenAI Architecture)

Employment Type : Full-time

Key Skills : Python, GenAI, LLM Architecture, Azure AI, CoPilot Development, Agentic Frameworks, MLOps / LLMOps, Data Engineering, Solution Architecture, RFP & Client Engagement.

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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    Ai Solution Architect • Thoothukudi, IN