Lead Azure & AI/ML Engineer (Healthcare Technology)

We are seeking a highly capable, hands-on Lead Azure & AI/ML Engineer to take technical ownership of our cloud infrastructure, workflow automation, AI/ML engineering, and production delivery.

This is an opportunity for someone who combines deep technical expertise with strong execution, accountability, communication, and emerging leadership capabilities.

Initially, you will operate as a senior individual contributor, personally designing, developing, deploying, and troubleshooting critical systems.

Key Responsibilities

• Azure Engineering & Cloud Architecture
• Design, develop, deploy, and maintain enterprise applications and automation solutions within Microsoft Azure.
• Build and optimize Azure Functions, Logic Apps, Azure workflows, and event-driven architectures.
• Develop solutions using Microsoft Power Platform, including Power Automate, Power Apps, and related integration technologies.
• Implement robotic process automation (RPA) for complex healthcare and enterprise workflows.
• Design scalable, secure, resilient cloud services using appropriate Azure compute, storage, networking, identity, and integration services.
• Troubleshoot production issues, optimize system performance, and manage cloud infrastructure costs.

AI/ML Engineering

• Support the development and production deployment of custom AI and machine learning models for healthcare use cases.
• Work with data scientists and clinical subject matter experts to operationalize predictive models, clinical classification systems, and document intelligence solutions.
• Develop and maintain data preparation, feature engineering, model training, validation, inference, and monitoring pipelines.
• Implement MLOps practices supporting reproducibility, versioning, automated deployment, and ongoing model performance monitoring.
• Integrate AI/ML services into production workflows and customer-facing applications.
• Support responsible AI development with particular attention to model reliability, explainability, data security, and clinical validation.

Healthcare Technology & Integration

• Design and maintain integrations with electronic medical record systems, including Epic, athenahealth, and eClinicalWorks.
• Work with healthcare interoperability standards and technologies, including HL7, FHIR, C-CDA, and healthcare APIs.
• Support clinical document ingestion, patient matching, data extraction, classification, and structured data workflows.
• Develop secure systems for handling protected health information (PHI).
• Collaborate with clinical and product teams to translate healthcare requirements into scalable technical solutions.
• Support healthcare use cases involving risk adjustment, HCC coding, quality measurement, and value-based care.

DevOps, Infrastructure & Production Operations

• Own and improve CI/CD pipelines using Azure DevOps and related technologies.
• Implement infrastructure as code, automated testing, release management, and deployment controls.
• Establish monitoring, logging, alerting, and incident response processes.
• Maintain high standards for system availability, performance, security, and reliability.
• Diagnose and resolve complex production issues independently.
• Improve engineering efficiency through automation, documentation, and repeatable development processes.

Engineering Leadership & Accountability

• Take end-to-end ownership of assigned engineering initiatives, from requirements through production delivery.
• Establish clear milestones, technical priorities, and delivery commitments.
• Coordinate effectively with developers, data scientists, product stakeholders, and external engineering resources.
• Review code, mentor engineers, and establish engineering best practices.
• Communicate technical progress, risks, dependencies, and decisions clearly to company leadership.
• Proactively identify problems and drive solutions without requiring constant supervision.
• Help build the engineering processes, team structure, and technical standards needed to support company growth.
• Progress into broader engineering leadership responsibilities based on demonstrated technical execution, ownership, and team performance.

Required Qualifications

• 7+ years of professional software engineering experience, including substantial hands-on experience with Microsoft Azure.
• Strong experience developing production applications using Azure Functions, Logic Apps, and Azure integration services.
• Practical experience with workflow automation, Power Platform, and/or robotic process automation.
• Strong programming skills in Python, C#, .NET, or comparable enterprise development technologies.
• Experience developing, integrating, or deploying AI/ML solutions in production environments.
• Strong understanding of machine learning development lifecycles, data pipelines, model inference, and MLOps.
• Demonstrated experience with Azure DevOps, CI/CD, source control, infrastructure automation, and production monitoring.
• Experience designing and maintaining secure, scalable cloud architectures.
• Prior experience in healthcare technology, healthcare data, or regulated enterprise environments.
• Strong troubleshooting skills and demonstrated ownership of production systems.
• Ability to independently execute complex technical work while coordinating with other engineers.
• Excellent verbal and written communication skills.
• Demonstrated accountability for delivery timelines, quality, and technical outcomes.
• Must be based in the United States.

Preferred Qualifications

• Experience integrating with Epic, athenahealth, eClinicalWorks, or other major EMR platforms.
• Familiarity with HL7, FHIR, C-CDA, and clinical data standards.
• Experience with healthcare AI, clinical NLP, document intelligence, or predictive analytics.
• Knowledge of risk adjustment, HCC coding, HEDIS, quality measures, and value-based care.
• Experience working with large-scale healthcare datasets, including OMOP or similar clinical data models.
• Familiarity with Azure Machine Learning, Azure AI services, containerization, and orchestration.
• Experience leading distributed engineering teams or coordinating offshore development resources.
• Experience in a startup or high-growth technology company.
• Interest in progressing toward Director, VP, or executive-level engineering leadership.