18 days ago

AI Engineer, Copilot Studio & Azure AI

Health Services Advisory Group, Inc. (HSAG)

Hybrid
Full Time
$150,000
Hybrid
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Job Overview

Job TitleAI Engineer, Copilot Studio & Azure AI
Job TypeFull Time
Offered Salary$150,000
LocationHybrid

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Job Description

Summary

Health Services Advisory Group (HSAG) is nationally recognized as an industry leader in healthcare data analysis, program evaluation, measure development, and survey research. We are currently integrating artificial intelligence (AI) agents into our healthcare quality improvement work. We are seeking a highly skilled and innovative AI Engineer, Copilot Studio & Azure AI to join our team, focusing on the design, development, and deployment of intelligent agents using Copilot Studio and Azure AI technologies within 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, contributing to improved healthcare.

Unique Benefits

The AI Engineer, Copilot Studio & Azure AI position benefits from HSAG’s passion to leverage AI to implement data-driven insights, driving meaningful improvement in the healthcare industry. This role is responsible for leading the development of custom Copilot AI Agents for deployment across the Data Science & Advanced Analytics division.

Description

The AI Engineer, Copilot Studio & Azure AI is a key contributor in the Data Science & Advanced Analytics division 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.

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 the 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.

Key skills/competency

  • AI Agent Development
  • Copilot Studio
  • Azure AI Ecosystem
  • Python for AI/ML
  • LLM Orchestration
  • Prompt Engineering
  • Azure Functions
  • Logic Apps
  • Data Engineering
  • Scalability & Reliability

Tags:

AI Engineer
Copilot Studio & Azure AI
AI agent development
intelligent agents
automation workflows
enterprise integration
LLM orchestration
prompt engineering
data engineering
solution optimization
technical documentation
stakeholder communication
Copilot Studio
Azure AI
Azure Bot Service
Python
Azure Functions
Logic Apps
Large Language Models
Azure OpenAI
SQL
NoSQL

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How to Get Hired at Health Services Advisory Group, Inc. (HSAG)

  • Research HSAG's mission: Study their commitment to healthcare quality improvement, AI integration, and core values on their official website.
  • Tailor your resume: Emphasize your experience with Copilot Studio, Azure AI, Python, LLM orchestration, and data engineering for the AI Engineer role.
  • Showcase AI projects: Prepare to discuss specific intelligent agent development, automation workflows, and real-world AI solution achievements during interviews.
  • Demonstrate problem-solving: Be ready to articulate how you've optimized AI solutions for performance, scalability, and reliability in previous roles.
  • Network with HSAG professionals: Connect with current employees on LinkedIn to gain insights into the company culture and team dynamics within the Data Science & Advanced Analytics division.

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