Senior Technical Solution Architect

Role Description

The Senior Technical Solution Architect will lead the design and architecture of next-generation Industrial AI solutions that connect frontline workers, frontline processes, and enterprise systems through voice, AI, and digital twin technologies. This role bridges frontline workers, factory-floor operations, enterprise applications, Industrial AI platforms, and operational technology (OT) environments to deliver next-generation voice-enabled, digital twin, and connected worker solutions for manufacturing environments.

Your Impact

• Defining end-to-end Industry 4.0 and Industrial AI solution architectures.
• Shape smart manufacturing platform roadmaps.
• Connect frontline workers, industrial assets, enterprise systems, and AI platforms through intelligent workflows.
• Work with System provider companies and their end-to-end applications to integrate the Cerence solution.
• Drive deployment of Voice AI, Edge AI, and embedded Small Language Models (SLMs) across manufacturing environments.
• Influence product direction through customer engagements, pilots, and production deployments.
• Lead technical discussions with customers, partners, product teams, and engineering organizations.

Key Responsibilities

• Industrial AI Architecture: Design scalable end-to-end architectures integrating Voice AI, SLMs into enterprise manufacturing systems.
• Enterprise & Factory Integration: Architect integrations with MES, ERP, PLM, WMS, CMMS, SCADA, and PLC environments.
• Connected Worker Solutions: Create architectures spanning mobile devices, rugged tablets, wearables, HMIs, industrial control panels, and factory-floor workflows.
• Edge AI & SLM Strategy: Define approaches for deploying SLMs and AI workloads across cloud, edge gateways, industrial PCs, and embedded environments.
• Technical Leadership: Provide architecture governance, technical guidance, and solution leadership across multidisciplinary teams.
• Safety & Compliance: Ensure solutions meet industrial safety, cybersecurity, and compliance requirements.

Qualifications

• 5+ years of experience in Solution Architecture, Industrial AI, IIoT, Digital Twins, or Smart Manufacturing.
• Strong understanding of Industry 4.0 architectures, connected factories, Industrial IoT (IIoT), OT/IT convergence, digital threads, predictive maintenance, industrial analytics, and factory automation ecosystems.
• Experience designing solutions connecting frontline workers, frontline processes, industrial assets, and enterprise systems.
• Proven experience with Digital Twin platforms such as NVIDIA Omniverse, NVIDIA Industrial Digital Twins, Azure Digital Twins, Siemens Digital Twin ecosystems, or similar solutions.
• Experience deploying and integrating Small Language Models (SLMs) in edge and industrial environments.
• Strong understanding of OPC UA, MQTT, PLC, SCADA, industrial telemetry, and operational technology integration.
• Experience integrating MES, ERP, PLM, WMS, CMMS, and enterprise manufacturing systems.
• Customer-facing technical leadership experience and ability to engage senior stakeholders.

Requirements

• Experience with Generative AI, LLMs, Agentic AI, Retrieval-Augmented Generation (RAG), Knowledge Graphs, and Multimodal AI systems.
• Experience with Connected Worker platforms and Digital Manufacturing initiatives.
• Industrial Cybersecurity standards including IEC 62443 and related OT security frameworks.
• Experience with Siemens, Rockwell Automation, Schneider Electric, ABB, Honeywell, or PTC ecosystems.
• Predictive Maintenance, Condition Monitoring, Factory Optimization, and Manufacturing Analytics solutions.

Benefits

• Generous compensation and benefits package, including:
• Salary range: $132,200.00 USD - $211,400.00 USD.
• Annual bonus opportunity.
• Insurance coverage (medical, dental, vision, life, and disability).
• Paid time off.
• Paid holidays.
• Company contribution to the RRSP (Registered Retirement Savings Plan).
• Equity awards for certain positions and levels.
• Remote and/or hybrid work available depending on the position.

Education & Qualifications

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Industrial Automation, Electrical Engineering, Systems Engineering, Robotics, or a related technical discipline.