| Location | Phoenix, AZ |
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.