Nokia — телекоммуникацияларға, корпоративтік желілерге және цифрлық инфрақұрылымға бағытталған жаһандық B2B технологиялық компания. Компания қызмет провайдерлеріне, бизнеске және мемлекеттік сектор ұйымдарына адамдарды, машиналарды және құрылғыларды ауқымды түрде байланыстыруға көмектесетін қауіпсіз әрі орнықты желілік шешімдер әзірлейді. Оның жұмысына 5G, жасанды интеллект және кванттық есептеулерден кейінгі қауіпсіз желілер, сондай-ақ Nokia Bell Labs арқылы жүргізілетін зерттеулер мен ұзақ мерзімді технологиялық әзірлемелер кіреді. Nokia компаниясындағы жұмыс мүмкіндіктерін қарастыратын үміткерлер желілік инженерия, телекоммуникациялар, корпоративтік технологиялар, инфрақұрылым және озық зерттеулермен байланысты бағыттардан орын таба алады.
Senior Principal AI Architect at Nokia in Dallas (Hybrid)
Lead Nokia’s AI/ML strategy for the Optical Modules Group across photonics and semiconductor engineering. Build governance, reusable solutions, and cloud platforms that advance product lifecycle transformation.
Сипаттама
- Set the Optical Modules Group’s AI/ML and automation strategy, architecture, priorities, and adoption across PIC, ASIC, TROSA, and pluggable technologies
- Expand AI/ML capability through technical leadership, mentoring, reusable examples, and coordinated learning
- Create shared methods, governance, knowledge systems, and architecture patterns that support scalable, traceable, responsible AI/ML use
- Convert engineering data, workflows, knowledge, and traceability into AI-ready systems covering development, qualification, manufacturing, reliability, and field performance
- Advise engineers on selecting, developing, validating, and applying AI/ML approaches and reusable solutions, including agents, skills, RAG, analytics, and automation
- Collaborate with Development, Product Engineering, Test, Reliability, Quality, Manufacturing, Operations, IT, and Nokia AI/ML teams
- Own the Optical Modules Group AI/ML technology roadmap and align it with Nokia’s AI strategy, architecture direction, and long-term objectives
- Represent the Optical Modules Group in Nokia-wide AI, data, automation, and architecture forums
- Define AI/ML governance, architecture standards, and engineering practices for adoption across Nokia engineering organizations
- Lead assessments of AI platforms, cloud technologies, external partners, delivery approaches, and strategic technology investments
- Create AI/ML competency frameworks, workforce plans, training strategies, and technical communities for the Optical Modules Group
- Act as a senior technical advisor to Optical Modules Group leadership
- Provide strategic direction for cloud platform initiatives, including staffing, contributor selection, priorities, deliverables, risks, and decisions
Талаптар
- Master’s degree or higher in Electrical Engineering, Computer Science, Data Science, Physics, Photonics, Applied Mathematics, or a related field, or equivalent relevant experience
- Organizational and technical leadership in AI/ML, analytics, software, or automation for engineering, product development, testing, or manufacturing
- Advanced programming, data analysis, and tool-development skills using Python or comparable technologies
- Experience with modern AI/ML methods and architectures, including agents, skills, RAG, knowledge systems, engineering data platforms, traceability, or decision-support tools
- Experience setting technology strategy, roadmaps, and architecture direction across multiple engineering organizations
- Experience establishing enterprise-scale technical standards, governance frameworks, or architecture practices
- Track record leading large, cross-functional transformation programs
- Experience shaping technology investments, platform strategies, build-versus-buy analyses, and partner selections
- Experience developing technical communities, competency programs, workforce plans, or AI/ML enablement initiatives
- Ability to present AI/ML strategy, opportunities, risks, and investment recommendations to senior and executive leaders
- Recognized technical authority in AI/ML, engineering automation, knowledge systems, or digital engineering transformation
- Experience assessing technical talent, building teams, and coordinating internal and external delivery partners
- Experience leading cloud-based AI/ML, data, or engineering platform programs
- Experience defining scope, priorities, deliverables, risks, and stakeholder alignment across organizational boundaries
Артықшылықтар
- Eligible roles may include incentive or variable compensation
- Laptop support is available through an ordering program
- Hybrid work arrangement