GenAI Solution Architect

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 :

Technical Expertise :

Client & Leadership Skills :

Preferred Certifications :

Domain Exposure (Preferred) :

Key Highlights

Skills Required

Orchestration, palantir , MLops, snowflake , Databricks, Python, Etl