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.

📌 Solution Architect (Chennai)
🏢 iLink Digital
📍 Chennai