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AI Engineering Manager (Healthcare)- Hybrid in Charlotte, NC - Contract to Hire
TALENDICA
4 hours ago
Full-time
On-site
Charlotte, North Carolina, United States
Hi,
Hope you are doing well !
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AI Software Engineer Manager Start Date: 10/26/26 End Date: 4/23/2027 Assignment Type: Contract to Hire Location: Hybrid, 3 days a week in Charlotte Office (Providence Road Location- 108 Providence Road Charlotte, NC)
Interview Process: 1 round; In-person in Charlotte
Job Description:
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.
Let me know if you are looking for any new job opportunity .
AI Software Engineer Manager Start Date: 10/26/26 End Date: 4/23/2027 Assignment Type: Contract to Hire Location: Hybrid, 3 days a week in Charlotte Office (Providence Road Location- 108 Providence Road Charlotte, NC)
Interview Process: 1 round; In-person in Charlotte
Job Description:
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.