Remote AI/ML Platform Operations Engineer

CSAA; Connecticut; Remote; USD 105,000 - 141,000; Full time

Benefits offered by this job

Annual bonus eligibility

401(k) with company match

Remote-first culture

Flexible workplace

Job summary

CSAA Insurance Group (CSAA IG) is hiring a Software Engineer - AI/ML Platform Operations for a remote role in the United States. You will lead operational excellence, reliability, and governance of our enterprise AI platforms, working with Palantir Foundry, AWS Bedrock, SageMaker, and other cloud-native tools.

You will drive automation, observability, and SRE practices, partnering with Data Engineering, Data Science, Architecture, and Security teams to support scalable AI workloads and ensure

Qualifications

• 3+ 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 experience with software engineering and automation 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.

Responsibilities

• Provide technical leadership for AI/ML platforms including Palantir Foundry, 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.
• 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 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.
• 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.
• 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).

Skills

Software engineering

Platform engineering

Cloud operations

MLOps

DevOps

CI/CD

Python

JavaScript/TypeScript

Node.js

Education

Bachelor's degree in Computer Science/Engineering/IT or equivalent

Tools

Jenkins

Maven

GitHub Actions

Datadog

Grafana

Prometheus

CloudWatch

Job description

CSAA Insurance Group (CSAA IG) is hiring a Software Engineer - AI/ML Platform Operations for a remote role in the United States. You will lead operational excellence, reliability, and governance of our enterprise AI platforms, working with Palantir Foundry, AWS Bedrock, SageMaker, and other cloud-native tools.

You will drive automation, observability, and SRE practices, partnering with Data Engineering, Data Science, Architecture, and Security teams to support scalable AI workloads and ensure