AI Architects

Architect and deliver GenAI, LLM, and agentic AI solutions Excellent understanding of Agentic Frameworks, MLOps, LLMOps Design enterprise-level scalable AI-ready architectures Lead proposals, estimations, and RFP/RFI responses Partner with clients as a trusted AI advisor for transformation roadmaps Exposure to data engineering pipelines Build reference architectures and reusable GenAI frameworks Delivered at least 3 enterprise-grade AI/GenAI solution architectures Contributed to winning RFPs/proposals Contributed to Reference Architectures 15+ years IT experience; 5+ years in AI/ML/GenAI architecture Strong data science, MLOps, and solutioning background Deep expertise with Azure (priority), GCP, AWS Proven client-facing skills: RFPs, proposals, and stakeholder management Certifications in Azure AI / GCP ML / AWS ML (preferred) Exposure to regulatory-compliant AI systems in BFSI, Healthcare, Manufacturing, Public Sector etc. will have added advantage Experience: 15+ years overall IT experience with 5+ years as an AI/ML architect Technical Background: Strong foundation in data science, ML model lifecycle, and MLOps Proven expertise in GenAI / LLM / Agentic architecture design Good understanding of data engineering pipelines Cloud Expertise: Hands-on architecture experience with at least one of the major Hyperscalers such as Azure, GCP, AWS Experience of working on Databricks, Snowflake, Palantir etc. is added advantage Client-Facing Skills: Proven track record in RFPs, proposals, and estimation for AI programs Soft Skills: Excellent stakeholder management, communication, and leadership abilities