Software Engineer - AI/ML Platform Operations - Hybrid

CSAA Insurance Services; United States; Hybrid; USD 140,000 - 190,000; Full time

Job summary

CSAA Insurance Group is seeking a Software Engineer for AI/ML Platform Operations in a hybrid role. The position focuses on operational excellence, stability, and governance of enterprise AI and data platforms, including responsibilities across deployment, observability, and platform automation.

The ideal candidate will have 6+ years of software/ platform engineering experience and a relevant bachelor’s degree or equivalent.

Qualifications

• 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.

Responsibilities

• Lead operational excellence, reliability, and support of AI/ML platforms to ensure stability and governance.
• Design and implement automation, monitoring, observability, and tooling for platform reliability.
• Serve as senior escalation point for complex production issues involving AI platforms and cloud infra.
• Provide mentorship and technical guidance to engineers and platform teams.
• Identify opportunities to improve operational efficiency, governance, security, and developer experience.

Education

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.

Job description

Software Engineer - AI/ML Platform Operations - Hybrid

Requisition Number: R8062 Software Engineer - AI/ML Platform Operations - Hybrid (Open)

Location: Arizona - Home Teleworkers

Job Information

CSAA Insurance Group (CSAA IG), a AAA insurer, is one of the leading personal lines property and casualty insurance groups in the United States. Here, every employee shapes our mission. We build innovative, human-centered solutions that help AAA members prevent, prepare for, and recover from life's uncertainties. You will join a collaborative, inclusive culture where your strengths have room to grow and your ideas can drive real impact. Step into a role where you can contribute to our shared success through meaningful work.

We are actively hiring for a Software Engineer - AI/ML Platform Operations - Hybrid.

Selected candidate will be expected to work 1-2 days per month from our Phoenix office.

Your Role

We are seeking a Software Engineer - AI/ML Platform Operations to lead the operational excellence, reliability, and support of our enterprise AI and data platforms. This role is responsible for ensuring the stability, scalability, observability, governance, and operational readiness of AI/ML solutions that power critical business capabilities.

This is not a traditional software application development role. While strong software engineering skills are essential, the primary focus is on AI platform operations, MLOps, automation, reliability engineering, deployment support, observability, governance, and continuous improvement of enterprise AI capabilities.

AI Platform Operations & Reliability

Provide technical leadership for AI/ML platforms including Palantir, AWS Bedrock, Amazon SageMaker, and related cloud-native technologies.

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, service-level objectives (SLOs), and platform governance practices.

MLOps, Automation & Observability

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.

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 efforts and drive corrective and preventive actions to improve platform stability.

Solve 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.

Technical Leadership & Collaboration

Provide mentorship, 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 both technical and non-technical audiences.

Continuous Improvement & Innovation

Remain 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).

Required Experience, Education and Skills

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 suppo