Senior AI Architect, Enterprise Platform & Strategy

Keysight Technologies

Barcelona

Sur place

EUR 120 000 - 180 000

Plein temps

Il y a 7 heures
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Résumé du poste

Keysight Technologies, a leader in electronics design and test, seeks a Senior Principal AI Architect to define enterprise AI architecture and accelerate adoption across AI Labs. You will shape reusable platforms, guide roadmaps, and drive scalable, measurable value across product teams.

The role requires translating AI strategy into technical priorities, leading architectural governance, and mentoring senior engineers to ensure long-term competitive advantage.

Qualifications

  • Advanced degree in Computer Science, Electrical Engineering, or related field.
  • Typically 10+ years of experience in senior technical architecture roles with increasing scope and measurable business impact.
  • Expertise in one or more areas such as applied AI, machine learning systems, data platforms, software architecture, or AI-enabled product development.
  • Strong systems thinking, with the ability to turn recurring use cases into reusable capabilities, standards, and platforms.
  • Experience in senior technical leadership roles such as Principal Architect, Chief Architect, Distinguished Engineer, Technical Fellow, or equivalent.
  • Experience with measurement instrumentation and test workflows in RF and digital domains, including how software, data, and automation capabilities interface with complex electronic test systems.
  • Ability to define and execute technical architecture across multiple engineering teams, product domains, platforms, or business units.
  • Experience designing scalable, reusable, production-grade platforms or frameworks that support multiple use cases, teams, or customer-facing solutions.
  • Strong understanding of modern AI system design, including data pipelines, MLOps, evaluation methods, deployment patterns, governance, and lifecycle management.

Responsabilités

  • Define and communicate an enterprise AI architecture vision that aligns AI Labs investments with customer needs, business unit priorities, and emerging technology trends.
  • Establish reusable architecture patterns that improve interoperability, scalability, maintainability, production readiness, and business unit adoption.
  • Partner with AI Labs leadership and senior Keysight stakeholders to shape long-term technology strategy, roadmaps, and architectural priorities.
  • Drive architectural consistency across AI Platform, Models & Data Science, Agentic Framework initiatives, and product teams through standards, reference architectures, and design patterns.
  • Identify common capabilities across programs and business unit engagements to reduce duplication and increase reuse of platforms, datasets, models, tools, and engineering patterns.
  • Review major AI initiatives to ensure solutions are scalable, maintainable, secure, supportable, and aligned to measurable business value.
  • Build alignment across business units and partner organizations by clarifying architectural tradeoffs and helping teams converge on scalable implementation paths.
  • Mentor architects, senior engineers, product leaders, and technical contributors through design reviews, technical guidance, architecture forums, and thought leadership.
  • Guide technology selection, architectural decisions, and intellectual property development to ensure that AI Labs investments create durable technical advantage and long-term strategic value.

Connaissances

Advanced degree
10+ years
AI systems
Data platforms
Architectural leadership
Communication skills

Formation

Advanced degree in CS/EE

Outils

CI/CD
Kubernetes
Cloud platforms

Description du poste

Keysight Technologies, a leader in electronics design and test, seeks a Senior Principal AI Architect to define enterprise AI architecture and accelerate adoption across AI Labs. You will shape reusable platforms, guide roadmaps, and drive scalable, measurable value across product teams.

The role requires translating AI strategy into technical priorities, leading architectural governance, and mentoring senior engineers to ensure long-term competitive advantage.

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