Derived from job-description analysis by Serendipath's career intelligence engine.
As an AI Engineer at Health Services Advisory Group, you'll be at the forefront of integrating AI into healthcare, designing and deploying intelligent agents that improve operational efficiency and user experience, making this role ideal for someone passionate about leveraging technology for meaningful impact.
Original posting from Health Services Advisory Group, Inc.
Are you passionate about improving the quality of healthcare?
Are you ready to leverage your talents to make healthcare better for everyone?
Do you want the opportunity to give back to your community?
Do you want to have fun at work?
Then join the growing team at Health Services Advisory Group (HSAG) that is transforming the delivery of healthcare in the United States!
SUMMARY
HSAG is nationally recognized as an industry leader in the areas of healthcare data analysis, program evaluation, measure development, and survey research, which is now focused on integrating artificial intelligence (AI) agents into its healthcare quality improvement work. We are seeking a highly skilled and innovative AI Engineer to join our team, focusing on the design, development, and deployment of intelligent agents using Copilot Studio and Azure AI technologies in HSAG's Data Science & Advanced Analytics division. This role is ideal for someone passionate about building scalable AI solutions that enhance user experience and operational efficiency. Together we can spread positive change to make healthcare better.
UNIQUE BENEFITS
The AI Engineer position benefits from HSAG's passion to leverage AI to implement data-driven insights to drive meaningful improvement in the healthcare industry. The AI Engineer is responsible for leading the development of custom Copilot AI Agents for deployment across DSAA.
DESCRIPTION
The AI Engineer is a key contributor in DSAA and will develop innovative AI projects spanning intelligent agent development, automation, and enterprise integration. Driven by curiosity and a passion for technology, this position designs, builds, and deploys AI solutions using Copilot Studio and Azure AI tools. Additionally, the AI Engineer will be responsible for leveraging expertise in Python to customize AI agents and to participate in a wide array of data science activities. Responsibilities include orchestrating the development of custom AI agents, developing automation workflows, and ensuring robust, scalable deployments.
Details regarding potential development and project assignments will be discussed with potential candidates during the interview process.
ESSENTIAL COMPETENCIES, DUTIES, AND RESPONSIBILITIES
Serve as the lead AI Engineer as part of Data Science & Advanced Analytics.
Act as a liaison between management, technical teams, and stakeholders, communicating decisions and technical information.
Architect, develop, and maintain intelligent AI agents using Copilot Studio and Azure AI (OpenAI, Bot Service, Machine Learning).
Optimize AI agents for performance, scalability, and reliability.
Monitor and evaluate AI solutions, ensuring alignment with business goals.
Build and manage Azure Functions, Logic Apps, and automation workflows.
Orchestrate large language models (LLMs) for enterprise use cases (conversational AI, summarization, decision support).
Document and oversee project tasks, maintain project files, and support client meetings.
Develop and adhere to project timelines, identify process improvements, and implement quality initiatives.
Prepare technical documentation, reports, and deliverables using Microsoft Word and Excel.
Conduct research on AI trends, best practices, and emerging technologies.
Participate in training and educational presentations as required.
Monitor and optimize AI system performance, scalability, and reliability.
Ensure compliance with security, privacy, and governance standards.
Always represent HSAG in a professional manner.
EDUCATION AND/OR EXPERIENCE
Bachelor's or Master's degree in computer science, Data Science, Artificial Intelligence, or a related field.
Total of 5+ years of professional experience, including:
Minimum of 2 years in building AI Agents
Minimum of 3 years in Python development
Minimum of 3 years in Data Engineering roles
Familiarity with reporting tools such as Power BI, Tableau, and Amazon QuickSight is a plus
REQUIRED QUALIFICATIONS
Proven experience developing complex AI agents using Copilot Studio, Azure Bot Services, or similar frameworks.
Hands-on experience with Azure Functions and Logic Apps
Strong hands-on experience with Python for AI/ML development.
Strong understanding of LLM orchestration, prompt engineering, and model fine-tuning.
Strong understanding of entire Azure AI ecosystem.
Good experience with relational and NoSQL databases.
Familiarity with cloud-native development and deployment practices.
Excellent problem-solving and communication skills.
PREFERRED QUALIFICATIONS
Experience with Azure OpenAI, Semantic Kernel, or similar frameworks.
Knowledge of enterprise data integration and governance.
Demonstrated data engineering capabilities including ETL and pipeline development.
Working with structured and unstructured data
Prior experience in building conversational agents or virtual assistants.
Certifications in Azure AI or related technologies.
Work Environment
The work environment characteristics described here are repres