Senior AI Systems Architect & Tech Leader

Siemens; New York (NY); Hybrid; USD 237,000 - 320,000; Full time

Benefits offered by this job

Health benefits

Hybrid work model

Job summary

Siemens in New York is seeking a Senior Manager, Software development to set the technical direction for systems that blend cloud infrastructure, ML, and hardware interaction. You will define architecture that is robust, scalable, and adaptable for rapid research and product iteration.

This high-impact role requires coordinating engineers, ML researchers, product managers, and executives to shape architectural foundations for next-gen intelligent, interactive systems with strong emphasis on

Qualifications

• 10+ years of professional software development experience.
• Experience designing and scaling distributed systems and real-time applications.
• Demonstrated ability to lead cross-functional technical initiative.
• Proficiency in at least one backend systems language (e.g., Python, Go, Java).
• Strong understanding of system design, performance optimization, and fault-tolerance.

Responsibilities

• Lead architecture and development of complex, high-scale systems.
• Define and evolve the technical architecture across core systems and products.
• Provide hands-on technical leadership on strategic projects.
• Drive technical decisions and trade-offs across multiple domains (infra, ML, product).
• Align engineering direction with product and ML research priorities.
• Identify and address scaling challenges before they become bottlenecks.
• Champion engineering excellence, reliability, and system sustainability.

Skills

10+ years software development

Distributed systems design

Cross-functional leadership

Backend programming (Python/Go/Java)

Performance optimization and fault-tol

Tools

AWS

Kubernetes

Redis

Postgres

S3

Terraform

GitHub Actions

Datadog

Grafana

Prometheus

Job description

Siemens in New York is seeking a Senior Manager, Software development to set the technical direction for systems that blend cloud infrastructure, ML, and hardware interaction. You will define architecture that is robust, scalable, and adaptable for rapid research and product iteration.

This high-impact role requires coordinating engineers, ML researchers, product managers, and executives to shape architectural foundations for next-gen intelligent, interactive systems with strong emphasis on