Lead Azure & AI/ML Engineer

• Client: healthcare technology company
• Title: Lead Azure & AI/ML Engineer
• Location: 100% Remote
• Duration: 6-month contract to hire

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.