Senior AI Systems Architect & Platform Lead

Siemens Mobility; Costa Mesa (CA); On-site; USD 138,000 - 236,000; Full time

Job summary

Siemens Mobility in California is seeking a Software Engineer to set the technical direction for AI-native systems that blend cloud infrastructure, machine learning, and hardware interactions. You will define architecture that is robust, scalable, and adaptable to rapid research and product iteration.

This high-impact role places you to work with engineers, ML researchers, product managers, and executives to shape the next generation of intelligent, interactive systems.

Qualifications

• 6+ years of professional software development experience.
• Experience designing and scaling distributed systems in production environments.
• Proficiency in at least one backend programming language (e.g., Python, Go, Java).
• Strong understanding of systems architecture, observability, and deployment best practices.
• Demonstrated ability to lead cross-functional technical initiatives.

Responsibilities

• Lead architecture and development of complex, high-scale systems.
• Drive technical decisions and trade-offs across multiple domains (infra, ML, product).
• Collaborate across teams to align long-term platform and product direction.
• Set engineering standards for code quality, design, and operational excellence.
• Mentor and support growth of engineers across the team.

Skills

Python

Go

TypeScript

Distributed systems

Observability

Leadership

Tools

PyTorch

HuggingFace

ONNX Runtime

LangChain

AWS

Kubernetes

Redis

PostgreSQL

S3

Terraform

GitHub Actions

Datadog

Grafana

Prometheus

Job description

Siemens Mobility in California is seeking a Software Engineer to set the technical direction for AI-native systems that blend cloud infrastructure, machine learning, and hardware interactions. You will define architecture that is robust, scalable, and adaptable to rapid research and product iteration.

This high-impact role places you to work with engineers, ML researchers, product managers, and executives to shape the next generation of intelligent, interactive systems.