Senior Technical Solution Architect – Industrial AI

Cerence; United States; Hybrid; USD 132,000 - 211,000; Full time

Benefits offered by this job

Annual bonus

Medical, dental, vision insurance

Paid time off

Paid holidays

RRSP contribution

Equity awards

Remote/hybrid work available

Job summary

Cerence is seeking a Senior Technical Solution Architect to lead design and architecture for next-generation Industrial AI solutions connecting frontline workers, processes, and enterprise systems through voice, AI, and digital twins.

You will bridge factory-floor operations with OT/IT environments, driving Voice AI, Edge AI, and SLM deployments across manufacturing settings while influencing product direction through pilots and deployments.

Qualifications

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

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, and factory-floor workflows.
• Edge AI & SLM Strategy: Define approaches for deploying SLMs and AI workloads across cloud, edge gateways, 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.

Skills

Solution Architecture

Industrial AI

IIoT

Digital Twins

Smart Manufacturing

OT/IT convergence

Education

Bachelor’s or Master’s in CS/Engineering

Tools

NVIDIA Omniverse

Azure Digital Twins

Siemens Digital Twin

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