Senior AI Solutions Consultant – Microsoft Copilot & Azure

Saul Recruitment

Sydney

Hybrid

AUD 120,000 - 150,000

Full time

4 days ago
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Benefits offered by this job

Superannuation
Training
Hybrid work

Job summary

Saul Recruitment is partnering with an Australian MSP to recruit a senior AI Solutions Consultant focused on Microsoft AI & Copilot. You will work directly with customers, shaping AI strategy, designing solutions and guiding projects across Copilot, Fabric and Azure AI offerings.

Hybrid WFH in Sydney, with strong training investment and a culture that values work-life balance. The role sits between solutions architecture, pre-sales and delivery, mentoring engineers and growing an AI practice.

Qualifications

  • Senior AI role with customer exposure and MSP/MSSP experience preferred.
  • Ability to translate business needs into practical AI solutions and roadmaps.
  • Experience presenting to executives and managing pre-sales proposals.

Responsibilities

  • Lead AI discovery workshops with customers.
  • Identify AI and Copilot opportunities across client environments.
  • Present solutions and business cases to customers and stakeholders.
  • Support pre-sales, proposals and solution scoping.
  • Design AI solutions and implementation roadmaps.
  • Mentor junior AI engineers and guide delivery teams.
  • Help develop repeatable AI services and offerings.
  • Collaborate with sales, consulting and delivery teams.

Skills

Customer-facing AI
Microsoft consulting
Solutions architecture
Technical pre-sales
Strong communication
Mentoring junior engineers

Tools

Microsoft Copilot
Copilot Studio
Fabric
Azure AI Foundry
Azure OpenAI
GitHub Copilot
Power Platform

Job description

Saul Recruitment is partnering with an Australian MSP to recruit a senior AI Solutions Consultant focused on Microsoft AI & Copilot. You will work directly with customers, shaping AI strategy, designing solutions and guiding projects across Copilot, Fabric and Azure AI offerings.

Hybrid WFH in Sydney, with strong training investment and a culture that values work-life balance. The role sits between solutions architecture, pre-sales and delivery, mentoring engineers and growing an AI practice.

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