AI Architects

Role Overview

We are seeking a seasoned AIML/GenAI Architect with 13+ years of total experience, including 5+ years of relevant expertise in AI/ML, Data Science, and GenAI architectures. This role demands a proven background in technical architecture design, Hyperscaler solutions (Azure, GCP, AWS), and end-to-end delivery of AI-driven platforms and agentic solutions. The candidate will play a pivotal role in solution architecture design, proposal creation, estimations, and client engagement across large-scale AI transformation programs.

Location

Bangalore, Karnataka, India

Experience

Experience: 13+ years total with 5+ years in AIML GenAI Architecture

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

• 13+ years IT experience; 5+ years in AI/ML/GenAI architecture
• Demonstrate strong knowledge of Insurance capabilities across PC, life, health and reinsurance value chains, from quote, bind and policy issuance through claims and servicing, and use this knowledge to shape capability maps and target-state architectures.
• Advise on insurance transformation initiatives, including core platform modernization, digital journeys, data and analytics platforms, automation, cloud migration and enterprise AI adoptio
• 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)

Required Skills Qualifications

• Experience: 13+ 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

Preferred Qualifications

• Certifications in Azure AI Architect / GCP ML Engineer / AWS Machine Learning Specialty
• Experience with enterprise-scale GenAI deployments (e g , copilots, chatbots, autonomous agents)
• Exposure to regulatory-compliant AI systems in BFSI, Healthcare, Manufacturing, Public Sector etc. will have added advantage