Software Engineer - AI/ML Platform Operations

CSAA Insurance Services, Inc. is seeking a Software Engineer to help run and scale enterprise AI/ML platforms that power production AI workloads. In this hybrid role based in Phoenix, AZ, you will focus on operational excellence, reliability, support, and governance across MLOps and Generative AI services, partnering with engineering and business teams to ensure stable adoption of AI capabilities.

This position spans platform engineering and reliability responsibilities, covering everything from deployment and observability to incident management and lifecycle controls. You will also contribute to automation and operational tooling that improve efficiency and reduce operational risk as AI capabilities evolve.

What you will do

• Provide technical leadership for AI/ML platforms including Palantir, AWS Bedrock, Amazon SageMaker, and related cloud-native technologies.
• Drive reliability and operational readiness for production AI workloads, including scalability, performance, security, and operational stability.
• Support deployment, monitoring, maintenance, and lifecycle management of AI/ML solutions and Generative AI services.
• Establish operational standards, support models, service-level objectives (SLOs), 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.
• Apply best practices for MLOps, including 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 drive 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 quickly and minimize operational risk.
• Provide mentorship, technical guidance, and operational expertise to engineers and platform teams.
• Influence platform strategy, architecture decisions, operational processes, and technology adoption.
• Communicate complex technical concepts to both technical and non-technical audiences.
• 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.
• Champion modern engineering practices including automation, observability, DevOps, Site Reliability Engineering (SRE), and AI Operations (AIOps).

What you bring

• 6+ years of progressive experience in software engineering, platform engineering, cloud operations, MLOps, DevOps, or a related technical discipline.
• 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 skills using languages such as Python, Java, JavaScript/TypeScript, or Node.js.
• Experience with CI/CD and build/integration/deployment tooling such as Jenkins, Maven, GitHub Actions, or equivalent tools.
• 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 capabilities.
• Excellent communication, collaboration, and technical leadership skills.

Technologies you may work with

• Palantir Foundry, AWS Bedrock, Amazon SageMaker
• AWS, Python, Java, JavaScript/TypeScript, Node.js
• Jenkins, Maven, GitHub Actions, infrastructure-as-code, CI/CD
• Cloud-native services, serverless architectures, dashboards, health metrics, logging frameworks, operational runbooks
• Databricks, Datadog, Splunk, Grafana, Prometheus, CloudWatch, OpenTelemetry
• Retrieval-Augmented Generation (RAG), LLM-based solutions, prompt orchestration frameworks

Compensation and benefits

• Salary range: USD 105,345 - 140,550 per year
• Total compensation package
• Annual bonus eligibility for most roles
• 401(k) with company match
• Opportunity for a company-wide annual discretionary bonus through the Annual Incentive Plan (AIP), up to 8% of eligible pay
• Remote-first culture through Flexible Workplace

Role context and additional details

• Location: Phoenix, AZ (hybrid)
• Starting pay range across all states: $105,345.00-$140,550.00
• Salary ranges vary by work location
• National average salary range for this position is $105,345.00-$117,050.00
• Travels as needed for the role, including divisional/team meetings and other in-person meetings