The Opportunity
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.
Key Accountabilities
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.
What You Bring
· 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.
Required Qualifications
· 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 Qualifications
· 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.
Role Scope
Career Level
Location: Raleigh NC
FLSA Status: Exempt
Travel: Up to 20%
Employment Information
Compensation: Anticipated annual base salary range: $80,000-$110,000. Actual starting pay will be based on work location, qualifications, and experience.
Benefits: Benefits for full-time employees are designed to support career growth and life outside of work. The total rewards package may include health and wellness benefits, a 401(k) Savings Plan, stock
incentive programs, paid time off, parental leave, and tuition assistance.
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.
Equal Opportunity: Clinisys is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military or veteran status, or other characteristics protected by law.
General Guidance: This job description describes the responsibilities most often associated with this role. Nothing in this description restricts Clinisys from changing, reassigning, expanding, or reducing responsibilities, and the description may be updated at any time.
Skills Required
- Bachelor's degree in Computer Science, Engineering, Data Science, a related field, or equivalent work experience
- 3+ years of experience 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 skills
- SQL skills
- 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
What We Do
Clinisys is a global provider of informatics software and expertise to support diagnostic testing across healthcare, life sciences and public health. Millions of diagnostic results and data insights are generated every day using Clinisys’ platform and cloud-based solutions in over 3,000 laboratories across 34 countries. Headquartered in Tucson, Arizona, and Woking, England, Clinisys’ mission is to help make citizens and communities healthier and safer around the world. We’re transforming the modern laboratory, providing flexible and best-in-breed solutions to help streamline workflows and improve health outcomes across nine diverse industries: healthcare, contract services, crop sciences, environment, water, food and beverage, pharma, life sciences and public health. We’re committed to supporting every type of laboratory or remote testing environment – from public or private sector, in-house or outsourced. Technology is vital to future preventative approaches to health. Join us in enabling the digital transformation of diagnostics
