Software Engineer - AI/ML Platform Operations (AI/ML)

Location: Hybrid; primarily remote with required work from the Phoenix office 1–2 days per month. Applicants must have indefinite authorization to work in the United States; travel may be required for divisional, team, and other in-person meetings.

Salary: $105,345–$117,050 national average range; location-based starting range of $105,345–$140,550, plus eligibility for an annual discretionary bonus of up to 8% of eligible pay.

Company

Mission-driven personal lines property and casualty insurance organization serving AAA members across 23 states and the District of Columbia.

What you will do

• Provide technical leadership for AI/ML platforms including Palantir Foundry, AWS Bedrock, Amazon SageMaker, and related cloud-native services.
• Ensure reliability, scalability, performance, security, governance, and operational readiness for production AI/ML workloads.
• Support deployment, monitoring, maintenance, and lifecycle management of AI/ML solutions and Generative AI services.
• Design automation, observability, dashboards, health metrics, alerts, logging frameworks, runbooks, CI/CD pipelines, infrastructure-as-code, and model release processes.
• Act as a senior escalation point, lead root cause analysis, resolve performance and integration issues, and drive corrective and preventive actions.
• Mentor engineers, influence platform strategy and architecture, and collaborate with Data Engineering, Data Science, Architecture, Infrastructure, Security, and Product teams.

Requirements

• 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 with 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 compute, storage, networking, databases, and serverless architectures.
• Experience building and maintaining monitoring, observability, and alerting solutions.
• Strong troubleshooting, incident response, and root cause analysis skills.
• Excellent communication, collaboration, and technical leadership capabilities.

Nice to have

• 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 Datadog, Splunk, Grafana, Prometheus, CloudWatch, OpenTelemetry, or similar observability platforms.
• 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 to fulfill business needs and help other teams.
• Participation in employee resource groups or volunteering, alignment with cultural norms, and willingness to use cameras when needed for onboarding and relationship building.
• Willingness to travel as needed for divisional, team, and other in-person meetings.

Culture & Benefits

• Collaborative, inclusive, and flexible remote-first workplace with intentional in-person collaboration.
• Total compensation package, annual bonus eligibility, and 401(k) with company match.
• Career growth supported by leaders and mentors through development opportunities.
• Commitment to inclusion, belonging, community impact, and sustainability.

Hiring process

• A preliminary call will cover the role and disclose the available salary or hourly rate range based on location.
• Selected candidates continue through the recruiting process and receive communication by email.