AI / GenAI Solution Architect

2 weeks ago

Thiruvananthapuram, India Recro Full time

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 aseasoned AI / GenAI Solution Architectwith deep expertise inAI/ML, LLMs, and Agentic Frameworks , who can design, build, and deliver enterprise-grade GenAI platforms. The ideal candidate will have strong technical acumen inPython, Azure AI stack, and CoPilot integrations , combined with hands-on experience insolution architecture, client engagement, and RFP/RFI leadership . Key Responsibilities Architect and deliverend-to-end GenAI, LLM, and Agentic AI solutionsfor enterprise clients. Designscalable, secure, and cost-effective AI-ready architecturesleveraging cloud technologies (Azure preferred). Provide technical leadership inGenAI framework design , MLOps, and LLMOps implementations. DevelopAI CoPilots, chatbots, and agentic workflowsusing modern frameworks and APIs. Leadproposal creation, estimations, and RFP/RFI responsesfor AI/GenAI engagements. Collaborate with clients as atrusted AI advisor , driving solution roadmaps and transformation initiatives. Buildreference architectures, reusable components, and acceleratorsfor GenAI adoption. Collaborate cross-functionally withdata engineering, product, and cloud teamsto ensure successful delivery. Required Qualifications & Skills Experience: 15+ yearsof overall IT experience, with5+ years as an AI/ML/GenAI Architect. Technical Expertise: Strong hands-on expertise inPythonfor AI/ML development. Proven experience designing and implementingLLM and Agentic AI architectures. Deep understanding ofGenAI frameworks, MLOps, and LLMOps. Strong exposure todata engineering pipelines(ETL, data lakes, orchestration). Hands-on withAzure AI stack(Azure OpenAI, Cognitive Services, CoPilot, AI Studio). Additional experience withGCP or AWS AI/ML servicespreferred. Familiarity withDatabricks, Snowflake, Palantir, or similar data platforms. Client & Leadership Skills: Proven success inclient-facing roles , handlingRFPs, proposals, and estimations. Excellentstakeholder management, communication, and leadershipabilities. Ability to mentor teams and buildGenAI solution acceleratorsand PoCs. Preferred Certifications: Azure AI Engineer / Azure Solution Architect / GCP ML Engineer / AWS ML Specialistcertifications are an advantage. Domain Exposure (Preferred): Experience inBFSI, Healthcare, Manufacturing, or Public Sectorwithregulatory-compliant AI systems. Key Highlights Hands-onPython, GenAI, LLM, and Agentic architectureexperience StrongAzure and CoPilotexpertise Ability tobuild(not just conceptualize) GenAI and agentic frameworks Deep understanding ofAI transformation programsat enterprise scale

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