Senior AI/ML DevOps Engineer

HonorHealth; Arizona; Hybrid; USD 140,000 - 190,000; Full time

Job summary

HonorHealth seeks a Senior AI/ML DevOps Engineer to design, deploy, and support scalable AI/ML solutions across clinical and operational domains. The role emphasizes CI/CD, model governance, and production readiness, collaborating with data engineers, data scientists, and platform teams.

Remote work is available for Arizona-located candidates with occasional on-site as needed, requiring strong cloud-native experience and proficiency in MLOps practices.

Qualifications

• 7 years of progressive DevOps experience in a Cloud deployment with AI/ML Ops, data engineering, or related software roles.

Responsibilities

• Design, develop, deploy, and maintain scalable AI/ML solutions and pipelines.
• Operationalize models and RAG workflows end-to-end.
• Implement CI/CD, monitoring, alerting, retraining, and rollback strategies.
• Deploy AI/ML apps in cloud environments with secure, reliable, and performant operations.
• Establish observability and cost-efficient compute/resource usage.
• Ensure HIPAA-aligned data governance and privacy practices where applicable.
• Document architectures, models, and procedures; troubleshoot complex pipelines.
• Collaborate with data engineers, scientists, and stakeholders to productionize solutions.

Skills

GCP

CI/CD

Git workflows

Docker

Kubernetes

Terraform

APIs

Data engineering

Education

Bachelor's degree in Computer Science/Engineering/Data Science or related field or 4 years relevant experience

Tools

GCP

CI/CD tooling

Terraform

Job description

## Senior AI/ML DevOps EngineerApply: Hybrid: Virtual Arizona: Full time: Posted Today: JR11780**Primary City/State:**Virtual Arizona**Category:**Data Intelligence**Shift:**Day**Department:**Augmented IntelligenceHours: Monday-Friday Days**Location: Remote -- Must be located in Arizona -- Occasional on site as needed.****Great care starts with great people. (Like you.)**At HonorHealth, you’ll find something special. From humble beginnings in 1927 to one of Arizona’s largest nonprofit healthcare systems, our culture is built on warmth and neighborly kindness. Behind every smile is a highly skilled professional with deep expertise and an unwavering dedication to what matters most — caring for the health and well-being of people and communities across the greater Phoenix area.**Responsibilities:**JOB SUMMARY The Senior AI / ML DevOps Engineer designs, develops, deploys, and supports scalable machine learning solutions that enable advanced analytics and AI capabilities across HonorHealth. This role operationalizes models and pipelines, monitors performance, and partners with data, engineering, and stakeholders to deliver reliable solutions aligned to governance and data handling expectations. The role partners closely with data engineers, data scientists, platform teams, and business stakeholders to translate complex needs into production-ready deployments, monitor ongoing performance, and continuously improve AI/ML capabilities aligned to governance and operational standards. ESSENTIAL FUNCTIONS* Leads the design and implementation of the environment that deploys scalable AI/ML solutions, including predictive models, large language model use cases, and agentic workflows that support clinical, operational, and business objectives.* Develops and maintains end-to-end machine learning and RAG pipelines supporting data ingestion, application feature engineering, training, evaluation, deployment, and lifecycle management.* Architects and supports production-grade DevOps practices, including CI/CD, model versioning, automated testing, monitoring, alerting, retraining, and rollback strategies.* Deploys and manages AI/ML applications in cloud environments, ensuring solutions are secure, reliable, performant, and operationally supportable.* Implements observability and performance evaluation practices to manage compute resource utilization, performance, and cost efficiency. Works with AI development team to a continuous improvement feedback loop.* Ensures AI/ML and agentic solutions comply with data governance, privacy, security, and responsible AI expectations, including HIPAA-aligned practices where applicable.* Creates and maintains technical documentation for architectures, models, workflows, operational procedures, assumptions, limitations, and support processes.* Troubleshoots complex pipeline, infrastructure, model, and integration issues; implements fixes and drives continuous improvement in operational stability and delivery efficiency.* Core Skills: Hands-on experience with cloud-native AI/ML services and infrastructure, preferably in Google Cloud Platform (GCP), including services for training, inference, orchestration, and scalable compute* Proficiency info MLOps, DevOps, and software engineering practices such as CI/CD, Git-based workflows, containerization, Infrastructure as Code, and automated testing* Proficiency with establishing connections via API calls and MCP servers.* Strong SQL and data engineering skills with experience in large-scale data processing, backend engineering, and integration across enterprise data platforms* Experience with API development and systems integration to embed AI/ML capabilities into enterprise applications and workflows* Strong analytical and problem-solving skills with the ability to diagnose issues across data, models, infrastructure, and orchestration layers* Excellent communication and collaboration skills with the ability to document and explain technical concepts clearly to both technical and non-technical stakeholders* Performs other duties as assigned.EDUCATION* Bachelors Computer Science, Data Science, Engineering, Artificial Intelligence, Machine Learning, Mathematics, Statistics, or a related quantitative field; or 4 years’ relevant experience **Required** EXPERIENCE* 7 years, of progressive experience in DevOps within a Cloud deployment in, AI/ML Ops, data engineering, or related software engineering roles, including at least 3 years deploying and operating AI/ML production workloads. **Required**