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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in end-to-end solution architecture on Microsoft Azure, with a focus on AI integration and compliance within healthcare or higher education domains. Proficient in translating business needs into technical designs while ensuring security, governance, and observability in production solutions.
Highest-signal resume keywords
Microsoft Certified: Azure Solutions Architect ExpertHands-On Experience With Azure AI ServicesInfrastructure As Code With Bicep Or Terraform5 To 8 Years In Solution Or Cloud ArchitectureStrong Writing And Facilitation Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Azure AI ServicesInfrastructure As CodeCI/CD On Azure DevOpsAI Or Machine Learning SolutionsGenerative AI SolutionsModel And Agent EvaluationRAG UnderstandingAzure IdentityNetworking And SecurityData Governance
Soft Skills
Strong Writing SkillsFacilitation SkillsCredibility With Executives
Tools & Technologies
Microsoft AzureAzure OpenAIAzure AI SearchAzure AI FoundryBicepTerraformAzure DevOpsGitHub Actions
Certifications & Qualifications
Microsoft Certified: Azure Solutions Architect ExpertClaude Certified Architect - FoundationsMicrosoft Certified: Azure AI Engineer Associate
Industry Keywords
HealthcareHigher EducationRegulated DataSolution ArchitectureCloud Architecture
Tech Stack
Tools & technologiesAzureCloudTerraformVault
About the role
Key responsibilities & impact- Run early business conversations to frame problems worth solving and determine where AI fits
- Own end-to-end solution architecture on Microsoft Azure, covering models, retrieval, agents, data, identity, networking, and security
- Design secure, governed, observable, and cost-aware production solutions aligned with the Azure Well-Architected Framework and Huron standards
- Translate business needs into engineering designs and communicate engineering implementation back to the business
- Define success measures, including model and agent evaluation, with the Engagement Manager and engineers
- Build design-dependent components alongside engineers, including infrastructure as code, retrieval pipelines, and agent orchestration
- Apply healthcare or higher education domain expertise to solution designs
Requirements
What you’ll need- Microsoft Certified: Azure Solutions Architect Expert
- Claude Certified Architect - Foundations
- Microsoft Certified: Azure AI Engineer Associate
- Hands-on experience with Azure AI services, including Azure OpenAI, Azure AI Search, and Azure AI Foundry
- Experience with Anthropic Claude models
- Understanding of RAG, agents, and evaluation
- Infrastructure as code with Bicep or Terraform
- CI/CD on Azure DevOps or GitHub Actions
- Healthcare or higher education domain depth, including regulated data
- 5 to 8 years in solution or cloud architecture
- At least 3 years designing on Microsoft Azure
- 1 to 2 years leading
- At least 2 years designing or delivering AI or machine learning solutions
- At least one generative AI solution taken to production
- Working knowledge of Azure identity, networking, and security, including Entra ID, private networking, Key Vault, and role-based access control
- Ability to turn unclear problems into designs engineers can build
- Strong writing and facilitation skills; credibility with executives
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience
- Based onshore (US or Canada) for the Healthcare work
- Travel required as needed
Benefits
Comp & perks- Annual incentive compensation program
- Medical coverage
- Dental coverage
- Vision coverage
- Other wellness programs
- Remote work arrangement
- Travel as needed
