AI Architects

Req ID:

Location:

Experience:

Role Overview

AI / GenAI Solution Architect

15+ years of total experience

5+ years of relevant expertise in AI/ML, Data Science, and GenAI architectures

technical architecture design, Hyperscaler solutions (Azure, GCP, AWS)

end-to-end delivery of AI-driven platforms and agentic solutions

solution architecture & design, proposal creation, estimations, and client engagement

Key Responsibilities

• 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
  

Qualifications

• 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
  

Required Skills

• 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
  

RESUME SELECTION Guidelines:

• Delivered at least 3 enterprise-grade AI/GenAI solution architectures
• Contributed to winning RFPs/proposals
• Led 2–3 successful client POCs/MVPs
• Driven GenAI adoption and AI architecture transformation aligned with client priorities
• Contributed to Reference Architectures