Software Engineer III – AI/ML Platform Operations

Job Description: • 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, and platform governance practices • Design and implement automation, monitoring, observability, and operational tooling • 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 MLOps best practices for model monitoring, 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 corrective/preventive actions • Resolve performance, availability, deployment, and integration issues across AI and data ecosystems • Partner with engineering and business teams to restore service and minimize operational risk • Mentor engineers and platform teams • Influence platform strategy, architecture decisions, operational processes, and technology adoption • Collaborate with technical and non-technical stakeholders to align platform capabilities with business priorities • Stay current with AI/ML, Generative AI, cloud technologies, platform engineering, and reliability practices • Identify opportunities to improve operational efficiency, governance, security, and developer experience • Champion automation, observability, DevOps, SRE, and AIOps practices Requirements: • 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 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 • 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 (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 • Ability to travel as needed for role, including divisional/team meetings and other in-person meetings • Must be authorized to work indefinitely in the United States • Must not require immigration support now or in the future Benefits: • Annual bonus eligibility for most roles • 401(k) with a company match • Career growth support and development opportunities • Remote-first Flexible Workplace • Flexibility to work from various locations including CSAA offices • Inclusive and welcoming workplace • Reasonable accommodations for qualified applicants and employees with disabilities or other limitations • Company-wide annual discretionary bonus through the Annual Incentive Plan (AIP), up to 8% of eligible pay