Production-Ready AI Engineer

Mercedes Benz USA, LLC; Atlanta (GA); On-site; USD 150,000 - 210,000; Full time

Job summary

Mercedes-Benz USA, LLC is seeking an AI Productization Engineer to bridge AI innovation and enterprise production. You will create scalable deployment patterns, define API contracts, and ensure production readiness with robust observability and governance.

Join MBUSA to advance AI capabilities across enterprise systems and production environments. The role emphasizes collaboration with data science, AI engineering, and architecture teams, driving continuous improvement in production delivery and

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related technical field.
• 8+ years of software engineering, ML engineering, platform engineering, or AI engineering experience.
• Experience deploying AI or ML capabilities into production environments.
• Strong understanding of operational support and production delivery.
• Strong communication and stakeholder management skills.

Responsibilities

• Lead the transition of AI and ML solutions from pilot to production.
• Develop reusable deployment, integration, and operational frameworks.
• Establish production readiness standards and supportability requirements.
• Define integration patterns connecting AI capabilities with enterprise systems.
• Define API contracts for AI products, including versioning and rate limits.
• Define caching and performance strategies for production AI serving.

Skills

Python

SQL

Stakeholder management

Communication

Production delivery

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, or related technical field

Master’s degree in Computer Science, Engineering, AI/ML, or related field

Tools

Docker

Kubernetes

CI/CD pipelines

Terraform

OpenTelemetry

Airflow

MLflow

Job description

Mercedes-Benz USA, LLC is seeking an AI Productization Engineer to bridge AI innovation and enterprise production. You will create scalable deployment patterns, define API contracts, and ensure production readiness with robust observability and governance.

Join MBUSA to advance AI capabilities across enterprise systems and production environments. The role emphasizes collaboration with data science, AI engineering, and architecture teams, driving continuous improvement in production delivery and