GenAI Solution Architect

3 weeks ago

Bengaluru, India Recro Full time

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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