Job Description
Job Description
Alternate Job Title: Software Engineer Manager (AI)
Description:
Interview Process: 1 round; In-person in Charlotte
Location: Hybrid, 3 days a week in Charlotte Office (Providence Road Location- 108 Providence Road Charlotte, NC)
Required qualifications
10 or more years in software engineering, with 2 or more years directly managing engineers.
Healthcare experience, especially with Epic, HL7, FHIR, patient access, patient experience or revenue cycle workflows.
Demonstrated hands-on technical depth. The candidate should be able to walk through code and architecture they personally built in the last two years.
Production experience delivering AI or machine learning solutions, including LLM-based applications, agents, RAG pipelines or NLP systems.
Strong Microsoft Azure experience across compute, data, identity and monitoring, and experience running production workloads on Azure or other Cloud platform.
Proficiency in Python, plus experience with at least one of Java, TypeScript or Go.
Experience with CI/CD, infrastructure as code and DevOps practices in a regulated environment.
Experience building and operating solutions in a HIPAA regulated environment, including PHI handling, data privacy and security controls such as encryption in transit and at rest, least privilege access, audit logging and secrets management.
Experience running agile delivery with metrics, and comfort being accountable for dates and quality.
Strong written and verbal communication, including the ability to explain technical tradeoffs to non-technical executives.
Preferred qualifications
Experience with Azure OpenAI, Azure AI Foundry, agent orchestration frameworks such as LangGraph and model evaluation practices.
Experience with contact center, IVR, conversational AI or patient messaging platforms.
Experience with AI governance, model risk, bias testing and clinical validation.
Experience with security and compliance review processes for healthcare AI.
Experience managing a mix of full time engineers and vendor or offshore teams.
Technical skills
Cloud: Azure App Service, Azure Functions, AKS, Azure API Management, Azure Storage, Azure SQL or Cosmos DB, Key Vault, Entra ID.
AI: Azure OpenAI, Azure AI Search, prompt engineering, agent orchestration, evaluation and guardrails, vector databases, LLM tracing and observability.
Data: SQL, data pipelines, Databricks or Microsoft Fabric, Unity Catalog, healthcare data models.
Engineering: Git, Azure DevOps or GitHub, Terraform or Bicep, Docker, automated testing.
Observability: Azure Monitor, Application Insights, Grafana, or equivalent APM tooling, with alerting routed into ServiceNow.
Security and compliance: HIPAA and HITECH, PHI de-identification and redaction, role based access control through Entra ID, Key Vault secrets management, encryption in transit and at rest, audit logging, code and dependency scanning.
Delivery tooling: Azure Boards or Jira, ServiceNow, Mural.