GenAI Solution Architect

16 hours ago

Bengaluru, India Recro Full time

About the RoleWe 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 & SkillsExperience:- 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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