Systems Architect - Edge AI/ML
AI summary of the role
Rite-Hite is seeking a Systems Architect, Edge AI/ML to define and guide the architecture for AI/ML deployed on edge devices and platforms in industrial environments.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Define and maintain reference architectures, design patterns, and standards for deploying AI/ML models on edge devices and platforms.
- Establish common approaches for data ingestion, feature pipelines, model inference, performance optimization, and lifecycle management at the edge.
- Drive the strategic use of AI and ML at the edge by establishing repeatable patterns for model development, deployment, monitoring, and update.
- Partner with product management and engineering teams to enable AI-driven capabilities such as condition monitoring, vision-based sensing, anomaly detection, and predictive insights.
What you’ll bring
- Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, Data Science, or a related technical field.
- 8+ years of experience delivering AI/ML-enabled solutions, with demonstrated experience deploying models in edge or resource-constrained environments.
- Strong understanding of AI/ML architectures, model lifecycle management, and real-time inference at the edge.
- Experience designing systems that balance performance, accuracy, latency, and resource constraints.
Technologies
Edge AI/ML · model lifecycle management · real-time inference · edge compute · sensor integration · computer vision · IoT · industrial automation · cloud platforms · mobile applications
Source and classification
Internal deployment & tooling · Evidence for this classification:
At Rite-Hite, your work makes an impact. As the global leader in loading dock and door equipment, we design and deliver solutions that keep our customers safe, secure, and productive. Here, you’ll find innovation, stability, and the chance to grow your career as part of a team that’s always looking ahead. Rite-Hite is a global leader in industrial safety and efficiency solutions. As part of our digital transformation journey, we are seeking a Systems Architect, Edge AI/ML to help build and scale intelligent systems that deliver real-time insights, automation support, and customer value at the edge of industrial environments. The Systems Architect, Edge AI/ML is responsible for defining and guiding the architecture for artificial intelligence and machine learning deployed on devices and edge platforms. This role ensures that AI/ML solutions are scalable, reliable, secure, and aligned
More from the job description
At Rite-Hite, your work makes an impact. As the global leader in loading dock and door equipment, we design and deliver solutions that keep our customers safe, secure, and productive. Here, you’ll find innovation, stability, and the chance to grow your career as part of a team that’s always looking ahead. Rite-Hite is a global leader in industrial safety and efficiency solutions. As part of our digital transformation journey, we are seeking a Systems Architect, Edge AI/ML to help build and scale intelligent systems that deliver real-time insights, automation support, and customer value at the edge of industrial environments. The Systems Architect, Edge AI/ML is responsible for defining and guiding the architecture for artificial intelligence and machine learning deployed on devices and edge platforms. This role ensures that AI/ML solutions are scalable, reliable, secure, and aligned with enterprise product and platform objectives. The architect partners closely with product management, device and edge software teams, data and cloud teams, and digital solution leaders to translate business and customer requirements into robust AI/ML foundations that enable consistent behavior, efficient lifecycle management, and high-quality user experiences across industrial environments. CORE RESPONSIBILITIES Edge AI/ML Architecture Strategy Define and maintain reference architectures, d [... source excerpt omitted ...] related to AI/ML, edge analytics, and sensing technologies. Foster a culture of responsible, ethical, and transparent AI practices aligned with cybersecurity, privacy, and safety requirements. Product and Platform Enablement Partner with product management and engineering teams to enable AI-driven capabilities such as condition monitoring, vision-based sensing, anomaly detection, and predictive insights. Guide architectural decisions related to edge compute constraints, sensor integration, and real-time inference workloads. Promote reuse and consistency of AI/ML components across products and platforms. Integration and Interoperability Define patterns for integration between e [... source excerpt omitted ...] obile application teams. Provide technical leadership, mentorship, and guidance to engineers and teams working with AI/ML technologies. Serve as a technical advisor in strategic customer conversations and enterprise implementations when appropriate. Supervisory Responsibilities This role does not have direct reports but is expected to provide technical leadership and architectural guidance across multiple teams. QUALIFICATIONS Education & Experience Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, Data Science, or a related technical field required; Master’s degree preferred. 8+ years of experience delivering AI/ML-enabled solutions, wi
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