AI Infrastructure Operations Engineer

AI Infrastructure & Operations Engineer 

Location: Remote (U.S.) 
Reports To: Juan Sandoval-Tobias 

About Private Health Management 

Private Health Management guides patients and families through the chaos and complexity of serious medical care, for cancer and beyond. As an independent advocate and trusted partner during healthcare's most challenging moments, our team of experts works alongside physicians to orchestrate the best treatment, advocacy, and support to deliver measurably better outcomes.
Everyone deserves great care. We make sure they get it.

About the Role 

PHM is building and scaling Companion, an AI-enabled clinical platform operating in a high-trust healthcare environment where reliability, observability, and security are foundational requirements. The platform includes headless AI agents designed to support clinical and operational professionals by acting as intelligent workstations that integrate with enterprise applications and workflows. 

The AI Infrastructure & Operations Engineer will operationalize the platform so it runs reliably at production scale, helping ensure the systems behind Companion are observable, recoverable, secure, and maintainable as adoption grows. 

This role sits at the intersection of Kubernetes operations, AI platform reliability, observability engineering, and operational security. You will help evolve and maintain the Azure-based infrastructure stack while partnering closely with technology leadership, AI architects, and security stakeholders. This is a high-ownership role for someone who thrives in fast-moving environments, is comfortable operating with incomplete information, and enjoys building operational discipline around emerging AI systems. 

What You’ll Accomplish 

• Establish operational reliability for Companion across AKS infrastructure, AI agent workloads, monitoring systems, and deployment pipelines.  

• Build meaningful observability practices that help PHM understand platform behavior, usage trends, and operational risks before they become incidents.  

• Create sustainable operational hygiene around patching, CVE remediation, secrets rotation, dependency management, and cloud maintenance cycles.  

• Strengthen platform resilience, documentation, and operational processes so the environment can scale without relying on tribal knowledge.  

How You’ll Spend Your Days 

Operate and Improve Platform Reliability 

• Monitor and maintain AKS infrastructure, AI agent workloads, deployment pipelines, and support Azure services.  

• Investigate incidents, troubleshoot production issues, and improve platform resilience through better operational patterns and tooling.  

• Support release operations and help ensure deployments remain stable, observable, and recoverable.  

Build Observability and Operational Insight 

• Develop dashboards, alerts, logging patterns, and operational baselines using Azure Log Analytics and Application Insights.  

• Identify system trends, performance bottlenecks, and emerging operational risks across infrastructure and AI workloads.  

• Improve visibility into AI agent behavior, enterprise workflow integrations, latency patterns, and system health under real user load.  

Strengthen Security and Operational Hygiene 

• Maintain operational cadence for dependency updates, CVE remediation, image signing, secrets rotation, and cluster patching.  

• Support security-first infrastructure practices across Kubernetes, CI/CD pipelines, and Azure environments.  

• Partner with security and engineering stakeholders to maintain compliance-aware operational practices in a HIPAA-regulated environment.  

Collaborate Across a Small, High-Ownership Team 

• Work closely with technology leadership, platform engineers, security stakeholders, and AI architects to evolve the operational maturity of Companion.  

• Contribute documentation, operational runbooks, and shared knowledge that reduce platform fragility over time.  

• Help establish practical operational patterns for AI systems where industry best practices are still emerging.  

What You Bring to the Table 

Required 

• Strong hands-on Kubernetes operations experience, including troubleshooting workloads, admission controllers, cluster networking, and production incidents.  

• Experience supporting cloud-native infrastructure in Azure environments, particularly AKS and related operational tooling.  

• Demonstrated strength in monitoring, observability, and incident response using structured logging and metrics platforms.  

• SRE mindset with experience handling on-call responsibilities, operational prioritization, and post-incident analysis.  

• Comfort operating in fast-moving environments with incomplete documentation, evolving processes, and broad ownership areas.  

• Strong communication and collaboration skills with the ability to explain technical issues clearly across technical and non-technical audiences.  

Nice to Have 

• Experience with CI/CD pipeline tooling including GitHub Actions, Kaniko, cosign, image signing, or Actions Runner Controller.  

• Familiarity with Infrastructure as Code practices using Bicep or Azure resource automation tooling.  

• Exposure to HIPAA, SOC2, or other compliance-aware operational environments.  
• Experience supporting AI or LLM-backed applications in production environments.  

Compensation 

The target base salary for this position is $120000 - $140000 

This base salary is only a part of a total compensation package that also includes health/dental/vision benefits, annual cash incentive program, 401k with match, flexible PTO, PHM for PHM — our services for you and your dependents — and other benefits. Individual pay may vary from the target range as several factors including market forces, experience, location, disparities in market data, and other relevant business considerations may all factor into final compensation. 

Location 

This is a remote role requiring that you live in and physically perform all work in the United States. 

Next Steps 

Private Health Management is a remote company with employees around the United States. We’re committed to providing a thoughtful, transparent interview experience and meaningful opportunities to get to know our company, mission, and wonderful teammates through fully remote interviews. 

If your application is selected for interviews, you’ll hear from a member of our recruiting team to schedule next steps. Interviews will also include the hiring manager, peers, and often an executive from the department. 

PHM uses AI-enabled tools at certain points in the recruiting process to help identify and evaluate top talent; however, all hiring decisions are made by human reviewers. 

Have a quick question about the role? Email [email protected] or simply apply here.