Software Engineering Manager AI

We are seeking an experienced Software Engineering Manager AI to lead the design, development, and deployment of AI-powered software solutions within a healthcare environment. This role combines hands-on software engineering, people management, cloud architecture, and production AI delivery., * Lead, mentor, and manage software engineers while remaining hands-on with architecture, coding, code reviews, and technical problem-solving.

• Design, develop, deploy, and maintain production-grade AI applications using LLMs, AI agents, RAG pipelines, NLP, and related machine learning technologies.
• Architect and operate cloud-native applications using Microsoft Azure services, including Azure Functions, App Service, AKS, Azure API Management, Azure SQL, Cosmos DB, and Azure Storage.
• Build AI-driven solutions that improve patient access, patient experience, contact center operations, patient messaging, and revenue cycle workflows.
• Collaborate with product managers, healthcare stakeholders, security teams, and executive leadership to translate business needs into scalable technical solutions.
• Implement secure healthcare data pipelines, API integrations, and AI workflows while protecting Protected Health Information (PHI).
• Establish and maintain CI/CD pipelines, infrastructure-as-code practices, automated testing, and DevOps standards.
• Implement monitoring, observability, alerting, and incident management using Azure Monitor, Application Insights, Grafana, or equivalent tools.
• Ensure adherence to HIPAA, HITECH, healthcare data privacy, encryption, access control, audit logging, secrets management, and secure development requirements.
• Establish AI quality and governance practices, including model evaluation, guardrails, bias testing, and validation where applicable.
• Manage agile delivery, engineering metrics, project timelines, quality standards, and technical risks.
• Coordinate with full-time engineers, vendor partners, and offshore teams as needed.
• Communicate technical decisions, architectural tradeoffs, project status, and risks effectively to technical and non-technical stakeholders.

The ideal candidate will have strong experience building and operating AI/ML applications, including Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and NLP solutions. The candidate must also possess healthcare domain knowledge, preferably involving Epic, HL7, FHIR, patient access, patient experience, or revenue cycle workflows.

This is a hands-on leadership position requiring the ability to guide engineering teams, make architectural decisions, deliver secure and scalable solutions on Microsoft Azure, and ensure compliance with HIPAA and other healthcare security requirements., * 10+ years of software engineering experience, including at least 2 years of direct engineering management experience.

• Healthcare industry experience, preferably with Epic, HL7, FHIR, patient access, patient experience, or revenue cycle systems.
• Demonstrated hands-on technical expertise, including the ability to explain and discuss code and architecture personally developed within the last two years.
• Production experience delivering AI or machine learning solutions, including LLM-based applications, AI agents, RAG pipelines, or NLP systems.
• Strong Microsoft Azure experience across compute, data, identity, security, and monitoring services.
• Experience deploying and operating production workloads on Azure or another major cloud platform.
• Proficiency in Python and experience with at least one additional programming language: Java, TypeScript, or Go.
• Experience with CI/CD, infrastructure as code, automated testing, and DevOps practices in regulated environments.
• Experience developing and operating applications in HIPAA-regulated environments, including PHI handling, privacy controls, encryption, least-privilege access, audit logging, and secrets management.
• Experience leading agile engineering delivery, tracking metrics, and maintaining accountability for deadlines and software quality.
• Strong written and verbal communication skills, including the ability to explain complex technical concepts to executive stakeholders., * Experience with Azure OpenAI, Azure AI Foundry, Azure AI Search, and agent orchestration frameworks such as LangGraph.
• Experience with LLM evaluation, prompt engineering, AI guardrails, vector databases, and model observability.
• Background in contact center technology, IVR, conversational AI, patient messaging, or voice-based AI applications.
• Experience with AI governance, model risk management, bias testing, and clinical validation.
• Familiarity with healthcare AI security assessments and regulatory compliance reviews.
• Experience managing a combination of full-time engineers, vendors, and offshore development teams.
• Experience with Databricks, Microsoft Fabric, Unity Catalog, healthcare data models, and enterprise data pipelines.

Technical Skills

Cloud & Azure: Azure App Service, Azure Functions, AKS, Azure API Management, Azure Storage, Azure SQL, Cosmos DB, Key Vault, Microsoft Entra ID.

AI & Machine Learning: Azure OpenAI, Azure AI Foundry, Azure AI Search, LLMs, RAG, NLP, prompt engineering, AI agents, LangGraph, vector databases, model evaluation, guardrails, tracing, and observability.

Programming & Data: Python, Java, TypeScript, Go, SQL, data pipelines, Databricks, Microsoft Fabric, Unity Catalog, healthcare data models.

Engineering & DevOps: Git, Azure DevOps, GitHub, Terraform, Bicep, Docker, CI/CD, automated testing, infrastructure as code, and secure software development.

Monitoring & Observability: Azure Monitor, Application Insights, Grafana, application performance monitoring, alerting, incident management, and ServiceNow integration.

Healthcare Security & Compliance: HIPAA, HITECH, PHI de-identification and redaction, role-based access control, Microsoft Entra ID, Key Vault, encryption at rest and in transit, audit logging, code scanning, and dependency scanning.