Software Engineer - AI/ML Platform Operations - Hybrid

CSAA Insurance Group, a AAA Insurer • Arizona - Home Teleworkers, AZ

1d • $105,345 - $140,550 • Hybrid

About The Position

CSAA Insurance Group is hiring a Software Engineer focused on AI/ML platform operations. The role leads the operational excellence, reliability, and support of enterprise AI and data platforms, ensuring stability, scalability, observability, governance, and operational readiness for production AI/ML solutions. It is primarily an AI platform operations, MLOps, automation, reliability engineering, deployment support, observability, governance, and continuous-improvement role rather than traditional application development.

The engineer works with Palantir Foundry, AWS Bedrock, Amazon SageMaker, cloud-native services, and emerging Generative AI technologies. They partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and Product teams to support production AI workloads and organization-wide adoption of AI capabilities. The position is home-flex/remote-first, with an expectation to work from the Phoenix office one to two days per month and travel as needed for team, divisional, and other in-person meetings.

The position requires at least six years of progressive experience in software engineering, platform engineering, cloud operations, MLOps, DevOps, or related technical disciplines, and a bachelor's degree in a related field or equivalent practical experience. The posted salary range varies by location: the national average range is $105,345–$117,050, and the starting range across hiring states is $105,345–$140,550. The role is eligible for an annual discretionary bonus of up to 8% of eligible pay. CSAA does not provide visa sponsorship, and applicants must be authorized to work indefinitely in the United States.

Requirements

• At least 6 years of progressive experience in software engineering, platform engineering, cloud operations, MLOps, DevOps, or related technical disciplines.
• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.
• Experience supporting production cloud-based applications and services in AWS environments.
• Strong software engineering and automation experience using languages such as Python, Java, JavaScript/TypeScript, or Node.js.
• Experience with CI/CD, build, integration, and deployment tools such as Jenkins, Maven, GitHub Actions, or equivalent.
• Experience with cloud-native services including compute, storage, networking, databases, and serverless architectures.
• 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 capabilities.
• Must have authorization to work indefinitely in the United States; CSAA does not provide visa sponsorship.

Nice To Haves

• Experience with AI/ML platforms such as Palantir Foundry, Amazon SageMaker, AWS Bedrock, Databricks, or similar ecosystems.
• Experience supporting Generative AI applications, LLM-based solutions, prompt orchestration frameworks, and Retrieval-Augmented Generation architectures.
• Knowledge of MLOps practices, including model deployment, monitoring, governance, experimentation, and lifecycle management.
• Experience with observability and monitoring platforms such as Datadog, Splunk, Grafana, Prometheus, CloudWatch, or OpenTelemetry.
• Familiarity with AI governance, responsible AI principles, model risk management, and operational controls.
• Relevant cloud, AI/ML, DevOps, or platform engineering certifications.
• Willingness to invest extra time or help other teams to fulfill business needs.
• Interest in shaping company culture, for example by participating in employee resource groups or volunteering.
• Willingness to use cameras when appropriate to help onboard teammates and build relationships.
• Willingness to travel as needed for the role.

Responsibilities

• Provide technical leadership for AI/ML platforms, including Palantir, AWS Bedrock, Amazon SageMaker, and related cloud-native technologies.
• Ensure 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, service-level objectives, and platform governance practices.
• Design and implement automation, monitoring, observability, and operational tooling to improve platform reliability and efficiency.
• Develop and maintain dashboards, health metrics, alerts, logging frameworks, and operational runbooks.
• Enhance CI/CD pipelines, deployment automation, infrastructure-as-code, and model release processes.
• Implement best practices for MLOps, model monitoring, model lifecycle management, and AI operational governance.
• 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 corrective and preventive actions to improve platform stability.
• Resolve performance, availability, deployment, and integration issues across AI and data ecosystems.
• Partner with engineering and business teams to restore service rapidly and minimize operational risk.
• Mentor and provide technical guidance and operational expertise to engineers and platform teams.
• Influence platform strategy, architecture decisions, operational processes, and technology adoption.
• Collaborate with team members to align platform capabilities with business priorities and AI adoption goals.
• Communicate complex technical concepts effectively to technical and non-technical audiences.
• Keep 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.
• Promote automation, observability, DevOps, Site Reliability Engineering, and AI Operations practices.
• Travel as needed for the role, including divisional, team, and other in-person meetings.

Benefits

• Total compensation package
• Annual bonus eligibility for most roles; this position offers an annual discretionary bonus of up to 8% of eligible pay
• 401(k) with company match
• Career growth, development opportunities, and mentorship
• Flexible Workplace with a remote-first culture

What This Job Offers

• Job Type: Full-time
• Career Level: Senior