Software Engineer III - AI​/ML Platform Operations - Remote

Job Title

Software Engineer III – AI/ML Platform Operations (Remote)

Arizona – Home Teleworkers. Remote available anywhere in the United States (except Hawaii and Alaska).

The role focuses on operational excellence, reliability, and support of enterprise AI and data platforms. This is a non‑application development position emphasizing AI platform operations, MLOps, automation, reliability engineering, deployment support, observability, governance, and continuous improvement.

• AI Platform Operations & Reliability
  Provide technical leadership for AI/ML platforms (Palantir, AWS Bedrock, Amazon Sage Maker, etc.). Ensure platform reliability, scalability, performance, security, and operational readiness for production AI workloads. Support deployment, monitoring, maintenance, and lifecycle management of AI/ML solutions and generative AI services. Establish operational standards, support models, SLOs, and governance practices.
• MLOps, Automation & Observability
  Design and implement automation, monitoring, observability, and operational tooling. Develop dashboards, health metrics, alerts, logging frameworks, and runbooks. Enhance CI/CD pipelines, deployment automation, infrastructure‑as‑code, and model release processes. Implement best practices for model monitoring, lifecycle management, and AI operational governance.
• Incident Management & Problem Resolution
  Serve as a senior escalation point for complex production issues involving AI platforms, machine learning workloads, cloud infrastructure, and data integrations. Lead root cause analysis and drive corrective actions to improve platform stability.
• Technical Leadership & Collaboration
  Mentor engineering and platform teams. Influence platform strategy, architecture decisions, operational processes, and technology adoption. Communicate technical concepts to both technical and non‑technical audiences.
• Continuous Improvement & Innovation
  Stay current with advancements in AI/ML, generative AI, cloud technologies, platform engineering, and reliability practices. Identify opportunities to improve operational efficiency, governance, security, and developer experience.

• 3+ years of progressive experience in software engineering, platform engineering, cloud operations, MLOps, Dev Ops, or related disciplines.
• Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent experience.
• Experience supporting production cloud‑based applications and services in AWS environments.
• Proficiency with Python, Java, JavaScript/Type Script, or Node.js.
• Experience with CI/CD, build, integration, and deployment tools (Jenkins, Maven, Git Hub Actions, etc.).
• Experience with cloud‑native services (compute, storage, networking, databases, serverless).
• Experience building and maintaining operational monitoring, observability, and alerting solutions.
• Strong troubleshooting, incident response, and root cause analysis skills.
• Excellent communication, collaboration, and technical leadership abilities.

• Experience with AI/ML platforms such as Palantir Foundry, Amazon Sage Maker, AWS Bedrock, Databricks.
• Experience supporting generative AI applications, LLM‑based solutions, prompt orchestration, and RAG architectures.
• Knowledge of MLOps practices, model deployment, monitoring, governance, experimentation, and lifecycle management.
• Experience with observability platforms (Datadog, Splunk, Grafana, Prometheus, Cloud Watch, Open Telemetry).
• Familiarity with AI governance, responsible AI principles, model risk management, and operational controls.
• Relevant cloud, AI/ML, Dev Ops, or platform engineering certifications.

CSAA Insurance Group is an equal opportunity employer.

• CSAA does not provide visa sponsorship for this role. Applicants must have authorization to work indefinitely in the United States.

• Please do not apply if you will require immigration support.

• This position may require occasional travel for team and in‑person meetings.

• The job posting will be unposted on Wed, 8 Jul 2026.

• Contact Talent Acquisition at  for accommodations during the application or interview process.