Remote Position
Software Engineer III – AI/ML Platform Operations
🌍 Remote · United States
💼 Full-time
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