Senior Technical Solution Architect – Industrial AI

🕒 3 dias atrás

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Cerence Inc.

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2019

💼 Consultoria

📦 Logística

🏭 Manufatura

💰 Grant em 2020-12

Consulting • Logistics • Manufacturing

A Cerence Inc. é uma empresa global focada em fornecer soluções impulsionadas por IA, especialmente na indústria automotiva. Eles se especializam em tecnologias de IA conversacional e generativa que criam interações inteligentes, naturais e personalizadas entre humanos e veículos. Com inovações como seus modelos de linguagem de grande escala automotivos proprietários, a Cerence aprimora as experiências dos usuários em várias formas de transporte, incluindo carros, duas rodas e caminhões. A empresa já possui mais de 500 milhões de veículos entregues com sua tecnologia de IA, atendendo a mais de 80 OEMs e clientes Tier 1 em todo o mundo. A Cerence é dedicada a avanços contínuos em IA, com o objetivo de revolucionar as experiências do usuário no carro por meio da entrega rápida e integração perfeita de suas soluções.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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