Software Engineer - AI/ML Platform Operations

Join CSAA Insurance Services, Inc. to help operate and govern enterprise AI and ML platforms, with a focus on reliability, observability, and incident-driven improvement.

Responsibilities

• Provide technical leadership for AI/ML platforms including Palantir, AWS Bedrock, Amazon SageMaker, and related cloud-native technologies
• Ensure production readiness across reliability, scalability, performance, security, and operational stability for AI workloads
• Support deployment, monitoring, maintenance, and lifecycle management for AI/ML solutions and Generative AI services
• Define operational standards, support models, service-level objectives (SLOs), and platform governance practices
• Design and implement automation, monitoring, observability, and operational tooling to improve reliability and efficiency
• Build and maintain dashboards, health metrics, alerts, logging frameworks, and operational runbooks
• Improve CI/CD pipelines with deployment automation, infrastructure-as-code, and model release processes
• Apply MLOps best practices covering model monitoring, lifecycle management, and AI operational governance
• Act as a senior escalation point for complex production issues involving AI platforms, ML workloads, cloud infrastructure, and data integrations
• Lead root cause analysis and drive corrective and preventive actions to improve platform stability
• Troubleshoot performance, availability, deployment, and integration issues across AI and data ecosystems
• Partner with engineering and business teams to rapidly restore service 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 technical and non-technical audiences
• Stay current on 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 practices across automation, observability, DevOps, Site Reliability Engineering (SRE), and AI Operations (AIOps)

Requirements

• 6+ years of progressive experience in software engineering, platform engineering, cloud operations, MLOps, DevOps, or related 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 Python, Java, JavaScript/TypeScript, or Node.js
• Experience with CI/CD and tools such as Jenkins, Maven, GitHub Actions, or equivalents
• 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

Technologies

• 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

Location & Work Style

• Phoenix, AZ (hybrid)

Compensation

• USD 105,345 - 140,550 per yearly
• National average salary range for this position: $105,345.00-$117,050.00
• Salary ranges vary by work location; starting pay range across states: $105,345.00-$140,550.00
• Opportunity for a company-wide annual discretionary bonus via the Annual Incentive Plan (AIP): up to 8% of eligible pay

Benefits

• Total compensation package
• Annual bonus eligibility for most roles
• 401(k) with company match
• Company-wide annual discretionary bonus (AIP) up to 8% of eligible pay
• Remote-first culture through Flexible Workplace

What Would Make CSAA Excited About You?

• Fulfills business needs, which may include investing extra time or helping other teams
• 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 RAG 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
• Actively shapes company culture (for example: employee resource groups, volunteering)
• Lives into cultural norms, including willingness to have cameras when it matters (for example: onboarding and building relationships)
• Travels as needed for the role, including divisional or team meetings and other in-person meetings