Senior Technical Solution Architect – Industrial AI at Cerence Inc

Job description

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 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. 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 Optimization, and Manufacturing Analytics solutions. Why Join the Team Help define how Voice AI and Industrial AI transform manufacturing operations worldwide. Work at the intersection of Industry 4.0, Digital Twins, Edge AI, and Conversational AI. Shape products, customer solutions, and platform strategy in a rapidly growing market. Influence real-world deployments that improve productivity, safety, and operational efficiency. 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. What we offer We offer a generous compensation and benefits package (in addition to the base salary), including: Salary range $132,200.00 USD - $211,400.00 USD  It is not typical for offers to be made at or near the top of the range. The actual salary will be determined based on experience and other job-related factors. 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 All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable, and may be amended, terminated, or replaced from time to time. About Cerence Cerence is a global leader in conversational AI and voice technologies. We are expanding innovation beyond automotive into Industrial AI, Edge AI, and connected worker solutions, creating intelligent systems that transform how people interact with technology and industrial environments. Cerence Inc. (Nasdaq: CRNC and www.cerence.com ) is the global industry leader in creating unique, moving experiences for the automotive world. Spun out from Nuance in October 2019, Cerence is a new, independent company that has quickly gained traction as a leader in the automotive voice assistant space, working with all of the world’s leading automakers – from Ford and Fiat Chrysler to Daimler, Audi and BMW to Geely and SAIC – to transform how a car feels, responds and learns. Its track record is built on more than 20 years of industry experience and leadership and more than 500 million cars on the road today across more than 70 languages. As Cerence looks to the future and continues an ambitious growth agenda, we need someone to join the team and help build the future of voice and AI in cars. This is an exciting opportunity to join Cerence’s passionate, dedicated, global team and be a part of meaningful innovation in a rapidly growing industry. EQUAL OPPORTUNITY EMPLOYER Cerence is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination on the basis of age, race, color, gender, gender identity, gender expression, sex, sex stereotyping, pregnancy, national origin, ancestry, religion, physical or mental disability, medical condition, marital status, citizenship status, sexual orientation, protected military or veteran status, genetic information and other protected classifications. Cerence Equal Employment Opportunity Policy Statement. All prospective and current Employees need to remain vigilant when it comes to executing security policies in the workplace. This includes: - Following workplace security protocols and training programs to familiarize with the ways to maintain a safe workplace. - Following security procedures to report any suspicious activity. - Having respect for corporate security procedures to allow those procedures to be effective. - Adhering to company s compliance and regulations. - Encouraging to follow a zero tolerance for workplace violence. - Basic knowledge of information security and data privacy requirements (e.g., how to protect data & how to be handling this data). - Demonstrative knowledge of information security through internal training programs.

Requirements

Must-haves

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.
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.
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.

Nice-to-haves

None flagged.

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Keywords to mirror

aiazure

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

Paid Time Off