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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and building AI solutions, integrating with Microsoft 365 and other enterprise systems, and applying security and privacy controls. Proficient in Python, C#/.NET, and Azure AI platforms, with a strong focus on data modeling and API integration.
Highest-signal resume keywords
AI Solution DesignPython ProgrammingAzure AI FoundryData ModelingAPI Integration
ATS Keywords
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Hard Skills
PythonC#/.NETTypeScriptSQLData ModelingAPI IntegrationCI/CDInfrastructure as CodeCloud SecurityData Privacy
Soft Skills
CommunicationProblem-SolvingCollaboration
Tools & Technologies
Azure OpenAICopilot StudioMicrosoft 365ServiceNowCRMERP
Industry Keywords
HealthcareLife SciencesRegulated IndustryMulti-Agent OrchestrationScalable Data Processing
Tech Stack
Tools & technologiesAzureCloudERPPythonServiceNowSQLTypeScript.NET
About the role
Key responsibilities & impact- Design and build AI solutions using agents, workflows, retrieval, and integrations
- Select models and technical approaches balancing quality, speed, and cost
- Build reusable components and contribute to solution standards
- Connect solutions to Microsoft 365, ServiceNow, CRM, ERP, APIs, and similar systems
- Bring in enterprise data and model it for reporting and AI use
- Make data available securely across the Microsoft ecosystem and related platforms
- Build tests and evaluations for quality, safety, and accuracy
- Apply security, privacy, identity, and access controls
- Release solutions through repeatable pipelines with clear technical documentation
- Monitor, support, and improve solutions after launch
- Troubleshoot performance, reliability, integration, and cost issues
- Communicate status and outcomes to technical and non-technical stakeholders
- Work with AI Business Partners and teams throughout Clinisys to turn business needs into secure, reliable, and cost-effective solutions
- Strengthen shared tools, reusable patterns, integrations, and data foundations for future AI solutions
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Engineering, Data Science, a related field, or equivalent work experience
- 3+ years in software, solutions, data, or cloud engineering, including at least 1 year building AI or LLM solutions
- Strong Python and/or C#/.NET skills, TypeScript, and SQL
- Hands-on experience with Azure AI Foundry, Azure OpenAI, Copilot Studio, or similar platforms
- Experience with RAG, prompt design, agents, API integration, data pipelines, and data modeling
- Familiarity with CI/CD, Git, infrastructure as code, cloud security, identity, and data privacy
- Preferred: experience with multi-agent orchestration, MCP servers, or evaluation frameworks
- Preferred: knowledge of networking, operating systems, compute, storage, identity, security, and cloud architecture
- Preferred: enterprise application development and integration experience
- Preferred: experience with scalable data processing, AI/ML services, and workflow orchestration
- Preferred: experience in healthcare, life sciences, or another regulated industry
- Ability to work primarily in an office setting, with prolonged sitting and computer use
- Ability to meet physical requirements including moderate lifting or carrying of 15–44 pounds and walking or standing 2–6 hours
- Up to 20% travel
Benefits
Comp & perks- Health and wellness benefits
- 401(k) Savings Plan
- Stock incentive programs
- Paid time off
- Parental leave
- Tuition assistance