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Microsoft Azure & AI - Presales, POCs & Labs

Job Description - Microsoft Azure & AI - Presales, POCs & Labs

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



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