Ai Engineer

Ai Engineer

 

8700 Data Analytics and Insights

Schedule: Salaried.

About the Position

Build, integrate, and advance AI-powered solutions that improve how care is delivered, documented, and supported across the organization. You will work hands-on with engineers, clinical informatics leaders, and analytics partners across Epic, Microsoft Fabric, Azure AI Foundry and emerging agent-based platforms to bring practical, production-ready AI capabilities into real clinical and operational workflows

Overview of Responsibilities

• Design, build, deploy, and support AI agents and agent-based solutions across Epic Agent Factory and Azure AI Foundry.

• Develop and implement AI-enabled solutions using Epic Cognitive Computing, clinical decision support, predictive models and workflow-embedded AI to enhance care delivery and clinical documentation.

• Develop Python-based AI solutions, integrate LLM APIs with Epic using REST APIs and HL7/FHIR, and design, evaluate, optimize, and deploy prompt flows in Azure AI Foundry.

• Build data pipelines and Lakehouse solutions in Microsoft Fabric and support the development of semantic models and reporting assets in Power BI.

• Leverage GitHub Copilot to accelerate development while maintaining high standards for code quality, documentation and supportability.

• Support Abridge ambient documentation workflows and monitor the performance of models and agents in production environments.

• Collaborate in agile delivery processes through sprint planning, iterative development and code reviews.

• Apply responsible AI practices consistent with HIPAA requirements and Reid Health’s AI governance framework.

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
• Hands-on experience building and deploying AI applications using LLM APIs such as OpenAI, Anthropic, or Hugging Face, including prompt engineering and agent-based development using frameworks such as LangChain, AutoGen, Microsoft Semantic Kernel, or similar tools.
• Proficiency with Azure AI Foundry, Microsoft Fabric, Power BI, including Power BI Copilot and GitHub Copilot.
• Strong technical skills in Python and SQL, with experience using libraries such as Pandas, scikit-learn and PyTorch. Solid understanding of NLP, transformers, embeddings, vector databases and retrieval-augmented generation (RAG) is expected.
• Experience designing, evaluating and optimizing AI workflows, including prompt flows, grounding strategies and production deployment.
• Experience integrating AI solutions into enterprise systems, ideally in healthcare environments using REST APIs and HL7/FHIR standards.
• Familiarity with model and agent monitoring, agile delivery practices, responsible AI principles and HIPAA-compliant handling of protected health information.