AI / GenAI Solution Architect

1 day ago

Bengaluru, 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 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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