Microsoft Azure & AI - Presales, POCs & Labs
Bothell, Washington
Full time |

About The Company:


iLink is a Global Software Solution Provider and Systems Integrator, delivers next-generation technology solutions to help clients solve complex business challenges, improve organizational effectiveness, increase business productivity, realize sustainable enterprise value and transform your business inside-out. iLink integrates software systems and develops custom applications, components, and frameworks on the latest platforms for IT departments, commercial accounts, application services providers (ASP) and independent software vendors (ISV). iLink solutions are used in a broad range of industries and functions, including healthcare, telecom, government, oil and gas, education, and life sciences. iLink’s expertise includes Cloud Computing & Application Modernization, Data Management & Analytics, Enterprise Mobility, Portal, collaboration & Social Employee Engagement, Embedded Systems and User Experience design etc.

 

What makes iLink Systems' offerings unique is the fact that we use pre-created frameworks, designed to accelerate software development and implementation of business processes for our clients. iLink has over 60 frameworks (solution accelerators), both industry-specific and horizontal, that can be easily customized and enhanced to meet your current business challenges.



Requirements

 

Pre-Sales

 

1. AI Pre-Sales & Solutioning

  • 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.




3.  AI Security Architecture & Governance

  • Design AI security and governance frameworks integrating:
    • Microsoft Defender for Cloud
    • Microsoft Purview for data classification & lineage
    • Microsoft Entra ID for AI workload identity protection
    • Microsoft Security Copilot for SOC automation
  • Architect controls for:
    • Data leakage prevention (DLP)
    • Prompt security
    • Model injection and poisoning protection
    • Supply-chain AI risk management
  • Map AI platforms to regulatory requirements including:
    • HIPAA, ISO 27001, NIST, SOC 2
    • EU AI Act readiness
    • Data privacy and sovereignty standards
  • Develop solutions for SOC automation using GenAI workflows integrated with Sentinel SIEM and XDR tools.


4. Cloud & Enterprise Security Presales

  • Define enterprise cybersecurity solutions using:
    • Microsoft Defender XDR, Sentinel, Purview, Entra
    • AWS Security Hub
    • Palo Alto, CrowdStrike, Zscaler, and Prisma Cloud
  • Design solutions for:
    • IAM modernization
    • Endpoint detection & response
    • Cloud security posture management
    • Vulnerability remediation automation
    • Incident response orchestration


5. Cross-Functional Leadership

  • Act as the technical authority bridging sales, delivery, security operations, and AI engineering teams.
  • Lead technical enablement for sales teams, solution architects, and engineers on new AI and security platforms.
  • Partner with OEMs (Microsoft, AWS, NVIDIA) on:
    • Joint GTM motions
    • Marketplace offers
    • Co-sell enablement
    • Funding programs and innovation workshops


6. Sales Enablement & Practice Development

  • Build reusable AI solution accelerators and frameworks, including:
    • Security Copilot deployment kits
    • Azure OpenAI governance templates
    • MLOps landing zones
    • SOC AI automation playbooks
  • Author and maintain case studies, demos, and thought leadership assets targeting executive buyers and CISOs.


Core Skills & Expertise

Infrastructure

  • Kubernetes, AKS, ECS
  • Terraform / Bicep / ARM
  • CI/CD pipelines

Security

  • Defender XDR, Sentinel, Security Copilot, Purview, Entra ID
  • Palo Alto, CrowdStrike, Zscaler
  • Compliance: HIPAA, ISO, NIST, SOC 2


Benefits

  • Competitive salaries​
  • Medical, Dental, Vision Insurance
  • Disability, Life & AD&D Insurance
  • 401K With Generous Company Match
  • Paid Vacation and Personal Leave
  • Pre-Paid Commute Options
  • Employee Referral Bonuses
  • Performance Based Bonuses
  • Flexible Work Options & Fun Culture
  • Continuing Education Reimbursements
  • In-House Technology Training