Solution Architect

iLink Digital; India; Remote; INR 2,500,000 - 4,500,000; Full time

Job summary

iLink Digital is seeking an AI Infrastructure Architect to lead technical pre-sales and deliver end-to-end AI platform solutions. You will assess readiness, design architectures, and develop reference models for enterprise customers.

The role emphasizes building POCs, pilots, and migration roadmaps across AI and security domains. The position requires hands-on R&D across AI frameworks, cloud services, and automation, with a focus on scalable, compliant AI infrastructure and platform

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.
• Design scalable AI-ready cloud infrastructures and architect hybrid and sovereign AI platforms.

Skills

Pre-sales AI

AI readiness

AI solution architecture

Reference architectures

POCs & demos

SOWs & proposals

R&D in AI

GPU cost optimization

Tools

Terraform

Bicep

Databricks

Snowflake

Synapse

Job description

Role & responsibilities

• Leadtechnical pre-sales engagements for AI, Cloud, and Cybersecurity transformation initiativesacross enterprise accounts.
  
• ConductAI readiness assessments, identifying infrastructure gaps, data platform modernization needs, security posture, and compliance readiness.
  
• Design end-to-endAI solution architectures
  
• Create and presentreference architectures, solution diagrams, cost models, and migration roadmapsfor customers adopting AI platforms.
  
• Build and executePOCs, demos, and pilotsacross GenAI, predictive AI, SOC copilots, and automation use cases.
  
• Develop detailedSOWs, technical proposals, pricing models, and effort estimatesfor AI and security solutions.
  
• Maintainhands-on R&D and proof engineeringacross AI frameworks, cloud AI services, and security automation.
  

2. AI Infrastructure Architecture

• Design scalableAI-ready cloud infrastructures
  
• Architecthybrid and sovereign AI platformsto address data residency and regulatory constraints.
  
• Guide adoption ofData & AI platform modernization(Synapse, Fabric, Databricks, Snowflake) enabling training pipelines and analytics integration.
  
• BuildInfrastructure-as-Code (Terraform, Bicep)and DevOps pipelines for platform automation.
  
• Lead performance, reliability, andcost-optimization strategiesfor GPU compute, storage tiers, and inference models.