Azure AI Tech Lead
Contract to hire
Remote Role:
Strong HealthCare Background
MUST HAVES
- Hands-on experience with:
- Azure AI Foundry
- Azure OpenAI Services
- AI application development
- REST APIs and integrations
- Python and/or JavaScript/TypeScript
- Modern web application frameworks
- Git-based development workflows
- Experience using AI-assisted development tools such as:
- Cursor
- GitHub Copilot
- Other AI coding assistants
- Strong understanding of:
AI Tech Lead (Azure OpenAI / Generative AI Engineer)
Position Overview
We are seeking an experienced AI Tech Lead to lead the design, development, and deployment of AI-powered applications across our growing healthcare organization. This role will be responsible for building practical, production-ready AI solutions using Microsoft Azure AI Foundry, Azure OpenAI, modern development tools like Cursor, and enterprise data platforms.
The ideal candidate is a hands-on AI engineer who can translate healthcare business opportunities into secure, scalable AI applications. This person will work directly with executive leadership, clinical teams, operations, IT, and data teams to identify high-value AI opportunities and rapidly deliver solutions that improve patient care, operational efficiency, revenue cycle performance, and business intelligence.
This is a highly technical role requiring someone who enjoys writing code, experimenting with emerging AI capabilities, and bringing AI solutions from concept through production.
Key Responsibilities
AI Application Development & Delivery
- Design, develop, and deploy Generative AI applications using:
- Microsoft Azure AI Foundry
- Azure OpenAI Services
- Large Language Models (LLMs)
- AI agents and copilots
- Retrieval Augmented Generation (RAG)
- Vector search and knowledge retrieval solutions
- Build full-stack AI applications using modern development practices, including:
- Python and/or JavaScript/TypeScript
- APIs and microservices
- Cloud-native application patterns
- Git/GitHub workflows
- AI-assisted development tools such as Cursor and GitHub Copilot
- Rapidly prototype AI solutions and evolve successful prototypes into secure production applications
Healthcare AI Solutions
Develop AI capabilities that improve healthcare operations, including:
- Patient record summarization and clinical insights
- Medical record review and analysis
- Clinical documentation assistance
- Treatment history analysis
- Case management automation
- Attorney and referral partner reporting
- Patient communication automation
- Operational analytics and executive insights
- Revenue cycle optimization
- Workflow automation across healthcare operations
Data Integration & AI Enablement
- Integrate AI applications with enterprise data sources, including:
- Electronic Medical Record (EMR) systems
- Snowflake Enterprise Data Warehouse
- Healthcare APIs
- Document repositories
- Structured and unstructured healthcare data
- Build reusable AI services, components, prompts, workflows, and development patterns
- Help establish standards for AI application development, testing, deployment, and monitoring
Security, Compliance & Responsible AI
- Develop AI solutions following healthcare security and privacy requirements
- Ensure appropriate handling of Protected Health Information (PHI) within HIPAA-regulated environments
- Implement secure AI application patterns including:
- Identity and access management
- Role-based access controls
- Data protection and encryption
- Auditability and monitoring
- Secure prompt and data management practices
- Partner with IT and security teams to ensure responsible AI adoption
Required Qualifications
- 5+ years of software engineering, application development, or cloud engineering experience
- Demonstrated experience building Generative AI applications using LLM technologies
- Hands-on experience with:
- Azure AI Foundry
- Azure OpenAI Services
- AI application development
- REST APIs and integrations
- Python and/or JavaScript/TypeScript
- Modern web application frameworks
- Git-based development workflows
- Experience using AI-assisted development tools such as:
- Cursor
- GitHub Copilot
- Other AI coding assistants
- Strong understanding of:
- Prompt engineering
- RAG architectures
- Vector databases
- AI agents
- LLM application patterns
Preferred Qualifications
- Healthcare technology experience strongly preferred
- Experience working with:
- HIPAA-regulated environments
- Electronic Medical Records (EMRs)
- Clinical data
- Healthcare interoperability standards (FHIR, HL7)
- Snowflake or enterprise data platforms
- Azure cloud security and identity management
- Experience taking AI solutions from prototype through production deployment
- Ability to communicate effectively with both technical teams and healthcare business stakeholders
Success in This Role Looks Like
Within the first 6 months, the AI Tech Lead will:
- Establish our AI application development framework and best practices
- Build and deploy multiple production AI applications
- Create reusable AI capabilities that accelerate future development
- Enable teams to safely leverage AI across clinical, operational, and administrative functions
- Identify and deliver measurable improvements through automation and intelligence
Position Details
Title: AI Tech Lead (Azure OpenAI / Generative AI Engineer)
Reports To: Chief Information Officer
Location: Remote / Hybrid
Employment Type: Contract to Hire
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