Solution Architect

iLink Digital; United States; Remote; USD 150,000 - 190,000; Full time

Job summary

iLink Digital is seeking a senior technical architect to lead pre-sales engagements for AI, cloud, and cybersecurity transformation across enterprise accounts. You will define AI readiness, identify gaps in data, security, and compliance, and articulate scalable end-to-end AI architectures.

You will create reference architectures, diagrams, cost models, and migration roadmaps for customers adopting AI platforms, and build POCs, demos, pilots, and technical proposals.

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.

Tools

Terraform

Bicep

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.