AI / GenAI Solution Architect

1 day ago

Delhi, India Recro Full time

Location:BangaloreExperience:15+ years (including 5+ years in AI/ML/GenAI Architecture)Employment Type:Full-timeKey Skills:Python, GenAI, LLM Architecture, Azure AI, CoPilot Development, Agentic Frameworks, MLOps/LLMOps, Data Engineering, Solution Architecture, RFP & Client Engagement.About the RoleWe 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 ResponsibilitiesArchitect 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 & SkillsExperience: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 HighlightsHands-onPython, GenAI, LLM, and Agentic architectureexperienceStrongAzure and CoPilotexpertiseAbility tobuild(not just conceptualize) GenAI and agentic frameworksDeep understanding ofAI transformation programsat enterprise scale

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