Edge AI/ML Systems Architect for Industrial Insights

Rite-Hite Digital Solutions Inc.; Wisconsin; On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health coverage

Well-being program

Retirement savings (401(k) & match)

Paid holidays & vacation

Job summary

Rite-Hite Digital Solutions Inc. invites a Systems Architect, Edge AI/ML to define scalable AI/ML architectures for edge devices and platforms.

You will lead cross-functional teams to translate customer needs into robust, real-time edge capabilities with strong security, safety, and lifecycle management. Your role focuses on edge compute constraints, data pipelines, model deployment, and interoperability across devices, mobile apps, and cloud services, guiding multiple engineering streams toward

Qualifications

• Bachelor’s degree in a technical field required; Master’s preferred.
• 8+ years delivering AI/ML solutions, with edge deployment experience.
• Experience with industrial, connected, or safety-critical systems preferred.

Responsibilities

• Define architectures for AI/ML on edge devices and platforms.
• Establish data ingestion, feature pipelines, model inference, and lifecycle management at the edge.
• Ensure real-time operation, scalability, reliability, safety, and security across environments.
• Collaborate with product, device/software, data science, and cloud teams to translate requirements.
• Provide technical leadership and mentorship across multiple teams.

Skills

AI/ML architectures

Edge computing

System design

Cross-functional collaboration

Security & safety by design

Education

Bachelor’s degree in CS/EE/DS

Master’s degree preferred

Tools

TensorFlow

PyTorch

ONNX

Edge platforms

Job description

Rite-Hite Digital Solutions Inc. invites a Systems Architect, Edge AI/ML to define scalable AI/ML architectures for edge devices and platforms.

You will lead cross-functional teams to translate customer needs into robust, real-time edge capabilities with strong security, safety, and lifecycle management. Your role focuses on edge compute constraints, data pipelines, model deployment, and interoperability across devices, mobile apps, and cloud services, guiding multiple engineering streams toward