AI Platform Engineer

Job summary

The AI Platform Engineer role focuses on building and operating the SOS AI platform, which supports the AI/ML lifecycle in on-premises environments. Key responsibilities include designing experiment orchestration workflows, implementing asset registries for traceability, and ensuring platform reliability and performance using technologies such as Docker, Kubernetes, and PostgreSQL.

Qualifications

• BS, MS, or Ph.D. in Computer Science, Engineering, or related field
• 5+ years building and operating AI or data platforms in production
• Hands-on experience with workflow orchestration
• Strong containerization and orchestration skills
• Solid backend engineering in Python
• Experience with MLOps tooling
• Experience delivering on-premises or air-gapped systems
• Experience with high-performance computing environments

Responsibilities

• Design, build, and operate the SOS AI platform
• Build experiment orchestration as versioned, reproducible workflows
• Implement asset registries and end-to-end lineage
• Package and deploy the platform as a self-contained system
• Integrate the platform with engineering and EDA workflows
• Own platform reliability and performance
• Establish access control, audit trails, and reproducibility guarantees
• Collaborate with ML engineers, product, and customers

Skills

Degrees

Industry

Relocation