greenhouse
Microsoft AI and Data Architect
AOT Technologies
Remote, CAN
Full-time
Senior · 6+ years experience
Remote
CAD 120000-150000 yearly / year
Discovered 3 weeks ago
AzureAzure Kubernetes ServiceAzure Container AppsAzure API ManagementAzure NetworkingPrivate endpoints
Free
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AzureAzure Kubernetes ServiceAzure Container Apps
Key Skills for This Role
AzureAzure Kubernetes ServiceAzure Container AppsAzure API ManagementAzure NetworkingPrivate endpoints
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About AOT
We’re on a mission to help enterprises and governments bring their ideas to life.
As a boutique consulting firm, we partner with enterprises, startups, and governments to solve complex, mission-critical challenges. Our expertise spans business process management, automation and AI, cloud, and application development. Our teams are collaborative, our leadership is transparent, and our work is impactful.
Alongside our consulting practice, we’re product builders: our flagship platform, formsflow.ai, is a low-code solution that simplifies complex form creation, approvals, and workflow automation, helping organizations move faster without sacrificing quality or compliance. Under the SLED360 umbrella, we deliver products and services tailored to the unique needs of state and local governments and the education sector, from modern case management to digital services. Our product offerings reflect our entrepreneurial spirit and firsthand experience solving real-world problems with scalable, human-centered technology.
As we expand into new markets and scale our solutions, there’s never been a better time to join AOT.
Role and Responsibilities
- We are seeking an experienced Microsoft AI and Data Architect to design, build, and lead enterprise-grade AI, data, and cloud-native solutions using the Microsoft Azure ecosystem. You will:
- Design secure AI and data architectures on Microsoft Azure
- Build architecture diagrams, reference architectures, and implementation roadmaps
- Guide engineering teams through implementation
- Review code, pipelines, infrastructure, and deployment designs
- Translate business requirements into AI, data, and cloud-native solution designs
- Evaluate technology options and recommend fit-for-purpose patterns
- Communicate clearly with both technical and non-technical stakeholders
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