Solution Architect

Role & responsibilities

• Lead technical pre-sales engagements for AI, Cloud, and Cybersecurity transformation initiatives across enterprise accounts.
  
• Conduct AI readiness assessments, identifying infrastructure gaps, data platform modernization needs, security posture, and compliance readiness.
  
• Design end-to-end AI solution architectures
  
• Create and present reference architectures, solution diagrams, cost models, and migration roadmaps for customers adopting AI platforms.
  
• Build and execute POCs, demos, and pilots across GenAI, predictive AI, SOC copilots, and automation use cases.
  
• Develop detailed SOWs, technical proposals, pricing models, and effort estimates for AI and security solutions.
  
• Maintain hands-on R&D and proof engineering across AI frameworks, cloud AI services, and security automation.
  

2. AI Infrastructure Architecture

• Design scalable AI-ready cloud infrastructures
  
• Architect hybrid and sovereign AI platforms to address data residency and regulatory constraints.
  
• Guide adoption of Data & AI platform modernization (Synapse, Fabric, Databricks, Snowflake) enabling training pipelines and analytics integration.
  
• Build Infrastructure-as-Code (Terraform, Bicep) and DevOps pipelines for platform automation.
  
• Lead performance, reliability, and cost-optimization strategies for GPU compute, storage tiers, and inference models.