Senior Technical Solution Architect – Industrial AI
A Moving Experience.
Industrial AI is transforming how frontline workers and factory operations function. At Cerence , we are bringing together Voice AI, Industry 4.0, Digital Twins, Edge AI, and intelligent automation to create the next generation of connected worker and smart manufacturing solutions.
Role Overview
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
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Industrial AI Architecture: Design scalable end-to-end architectures integrating Voice AI, SLMs into enterprise manufacturing systems.
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Enterprise & Factory Integration: Architect integrations with MES, ERP, PLM, WMS, CMMS, SCADA, and PLC environments.
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Connected Worker Solutions: Create architectures spanning mobile devices, rugged tablets, wearables, HMIs, industrial control panels, and factory-floor workflows.
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Edge AI & SLM Strategy: Define approaches for deploying SLMs and AI workloads across cloud, edge gateways, industrial PCs, and embedded environments.
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Technical Leadership: Provide architecture governance, technical guidance, and solution leadership across multidisciplinary teams.
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Safety & Compliance: Ensure solutions meet industrial safety, cybersecurity, and compliance requirements.
What You Bring
Mandatory (Must Have)
- 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.
Good to Have (Highly Valued Plus)
- 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 Optim