Real job — pulled straight from HonorHealth’s careers page · Verified October 11, 2026 · No reposts.
Job description
HonorHealth is hiring a Senior AI/ML DevOps Engineer (Remote) — a full-time, remote role. Apply directly on HonorHealth's careers page below.
Senior AI/ML DevOps Engineer
Location: Virtual Arizona
Remote Type: Hybrid
Time Type: Full time
Job Description
Primary City/State:
Virtual ArizonaCategory:
Data IntelligenceShift:
DayDepartment:
Augmented IntelligenceLocation: 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:
- 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.
- Bachelors Computer Science, Data Science, Engineering, Artificial Intelligence, Machine Learning, Mathematics, Statistics, or a related quantitative field; or 4 years’ relevant experience Required
- 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
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Frequently asked questions
Is Senior AI/ML DevOps Engineer (Remote) at HonorHealth a remote job?
Yes, Senior AI/ML DevOps Engineer (Remote) at HonorHealth is a remote position. Candidates in Arizona may be preferred.
What skills are required for Senior AI/ML DevOps Engineer (Remote) at HonorHealth?
The required skills for Senior AI/ML DevOps Engineer (Remote) at HonorHealth include: AI, Machine Learning, DevOps, MLOps, GCP, CI/CD, Git, API, SQL, Data Engineering, RAG, HIPAA.
What is the seniority level for Senior AI/ML DevOps Engineer (Remote) at HonorHealth?
Senior AI/ML DevOps Engineer (Remote) at HonorHealth is a Senior level position.
How do I apply for Senior AI/ML DevOps Engineer (Remote) at HonorHealth?
You can view the full description and apply for Senior AI/ML DevOps Engineer (Remote) at HonorHealth on EchoJobs: https://echojobs.io/job/honorhealth-senior-ai-ml-devops-engineer-sm3gh.