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Clinisys

AI Engineer

Clinisys

. Design and build AI solutions using agents, workflows, retrieval, and integrations .

Posted 10/14/2026full-timeRaleigh • North Carolina • United StatesMid-LevelSenior💰 $80,000 - $110,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and building AI solutions, integrating with Microsoft 365 and other enterprise systems, and ensuring data security and privacy. Proficient in Python, C#/.NET, and Azure AI platforms, with a strong focus on quality, performance, and documentation.

Highest-signal resume keywords
AI Solution DesignPython ProgrammingAzure AI FoundryData IntegrationCloud Security

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonC#/.NETTypeScriptSQLData ModelingAPI IntegrationData PipelinesMulti-Agent OrchestrationCI/CDInfrastructure as Code
Soft Skills
Clear CommunicationDisciplined Documentation
Tools & Technologies
Azure OpenAICopilot StudioMCP ServersAI/ML ServicesWorkflow Orchestration
Industry Keywords
HealthcareLife SciencesRegulated Industry

Tech Stack

Tools & technologies
AzureCloudERPPythonServiceNowSQLTypeScript.NET

About the role

Key responsibilities & impact
  • Design and build AI solutions using agents, workflows, retrieval, and integrations
  • Select models and technical approaches that balance 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 from the start
  • 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

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
  • Experience with multi-agent orchestration, MCP servers, or evaluation frameworks
  • Knowledge of networking, operating systems, compute, storage, identity, security, and cloud architecture
  • Enterprise application development and integration experience
  • Experience with scalable data processing, AI/ML services, and workflow orchestration
  • Experience in healthcare, life sciences, or another regulated industry
  • Ability to work across application development, data engineering, cloud platforms, integration, and security
  • Clear communication and disciplined documentation in a cross-functional environment

Benefits

Comp & perks
  • Health and wellness benefits
  • 401(k) Savings Plan
  • Stock incentive programs
  • Paid time off
  • Parental leave
  • Tuition assistance