Senior Technical Solution Architect – Industrial AI

🔥 12 minutes ago

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Cerence Inc.

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2019

💼 Consulting

📦 Logistics

🏭 Manufacturing

💰 Grant on 2020-12

Consulting • Logistics • Manufacturing

Cerence Inc. is a global company focused on providing AI-powered solutions, particularly in the automotive industry. They specialize in conversational and generative AI technologies that create intelligent, natural, and personalized interactions between humans and vehicles. With innovations like their proprietary automotive large language models, Cerence enhances user experiences across various forms of transport including cars, two-wheelers, and trucks. The company has over 500 million vehicles shipped with its AI technology, serving more than 80 OEMs and Tier 1 customers worldwide. Cerence is dedicated to continuous advancements in AI, aiming to revolutionize in-car user experiences through fast delivery and seamless integration of their solutions.

📋 Description

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

🎯 Requirements

• 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: 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

• 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