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# AI Engineer--Office Based Raleigh North Carolina

- **Company:** CliniSys, Inc
- **Location:** Morrisville, NC, United States
- **Salary:** $80,000.0 - $110,000.0
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Microsoft Windows, Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Microsoft Online Services, C Sharp (Programming Language), Cloud Computing, Cloud Computing Security, Cloud Engineering, Computer Literacy, Continuous Integration, Information Engineering, Python (Programming Language), Microsoft Office, Performance Tuning, OpenAI, Azure Machine Learning, Software Engineering, SQL Databases, Systems Integration, TypeScript, Workflow Management Systems, Data Processing, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Git, Build Management, Microsoft Copilot Studio, Infrastructure Automation Frameworks, Information Technology, Enterprise Integration, Data Pipelines, Servicenow
- **Published:** October 16, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=084c481d99128d48

## About the Role

* Strong software engineering fundamentals and hands-on AI or LLM solution experience.
 * Ability to work across application development, data engineering, cloud platforms, integration, and security.
 * Practical judgment in balancing solution quality, performance, reliability, safety, and cost.
 * Clear communication and disciplined documentation in a cross-functional environment., * 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., Physical and Travel Requirements: Work is performed primarily in an office setting and includes prolonged periods of sitting and computer use. Moderate lifting or carrying of 15-44 pounds may be required, along with use of fingers and walking or standing 2-6 hours. The role may involve exposure to hazardous materials or varying weather conditions.

## Description

The AI Engineer (based in Raleigh, North Carolina) builds, releases, and operates AI solutions used across Clinisys. Working with AI Business Partners and teams throughout the company, the role turns real business needs into secure, reliable, and cost-effective solutions and keeps those solutions performing after launch. The AI Engineer also strengthens the shared tools, reusable patterns, integrations, and data foundations that allow Clinisys to deliver future AI solutions faster and more consistently., AI Solution Engineering

 * 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.

Enterprise Integration and Data

 * 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.

Quality, Security, and Release

 * 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.

Production Operations and Improvement

 * Monitor, support, and improve solutions after launch.
 * Troubleshoot performance, reliability, integration, and cost issues.
 * Communicate status and outcomes to technical and non-technical stakeholders.