3 days ago
Base Salary
$196k - $327k/yr
Responsibilities
- Define and communicate an enterprise AI architecture vision aligned with customer needs, business priorities, and emerging technology trends.
- Establish reusable architecture patterns that improve interoperability, scalability, maintainability, production readiness, and adoption.
- Shape long-term technology strategy, roadmaps, and architectural priorities with AI Labs leadership and senior stakeholders.
- Drive architectural consistency across AI Platform, Models & Data Science, Agentic Framework initiatives, and product teams.
- Identify common capabilities across programs and business units to reduce duplication and increase reuse of platforms, datasets, models, tools, and engineering patterns.
- Review major AI initiatives for scalability, maintainability, security, supportability, and measurable business value.
- Build alignment across business units and partner organizations around scalable implementation paths and architectural tradeoffs.
- Mentor architects, senior engineers, product leaders, and technical contributors through design reviews, architecture forums, and technical guidance.
- Guide technology selection, architectural decisions, and intellectual property development for durable technical advantage.
Requirements
- Advanced degree in Computer Science, Electrical Engineering, or a related field, or equivalent professional experience.
- Typically 10+ years of experience in senior technical architecture roles with increasing scope and measurable business impact.
- Expertise in one or more areas including applied AI, machine learning systems, data platforms, software architecture, or AI-enabled product development.
- 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 interfaces among software, data, automation, and 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 supporting 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.
- Demonstrated ability to translate business strategy into technical strategy, architectural priorities, execution plans, and measurable outcomes.
- Experience integrating AI capabilities into commercial software products, engineering workflows, test and measurement systems, or technically complex customer-facing solutions.
- Ability to operate as a senior individual contributor with broad influence across engineering, product, research, business, and executive stakeholders.
- Excellent communication skills and ability to explain complex technical concepts to executive, business, and engineering audiences.
- Ability to lead through influence, mentor senior technical talent, resolve architectural ambiguity, and drive alignment without direct management authority.
- Preferred experience building enterprise AI platforms, agentic systems, model development environments, data science platforms, or AI-enabled product ecosystems.
- Preferred experience with agentic orchestration, LLM-based systems, retrieval-augmented generation, foundation models, model evaluation, AI governance, or domain-specific automation.
- Preferred experience deploying models on hardware platforms such as FPGAs, GPUs, or NPUs.
- Familiarity with cloud infrastructure, compute governance, data governance, security review, software supply chain practices, and production operations.
- Experience with architecture review boards, technical governance forums, design reviews, or enterprise technology standards.
Benefits
- Colorado pay range is $196,190 to $326,980 annually, with regional variation for other locations.
- Eligible for the Keysight Results Bonus Program.
- US employees may be eligible for medical, dental, vision, health savings and flexible spending accounts, insurance programs, 401(k), flexible time off, paid holidays, paid family leave, discounts and perks, tuition reimbursement, adoption assistance, and ESPP.
- The role is based on applicable location-specific compensation ranges; the posting does not state a remote or hybrid arrangement.
Categories
About Keysight
Keysight Technologies builds electronic test and measurement instruments and software used for design, validation, and manufacturing by engineers in communications, semiconductor, aerospace and defense, automotive, and data center markets. Its portfolio includes oscilloscopes, signal and network analyzers, RF/microwave test systems, and EDA and network test software, sold with services and support. Founded in 2014 as a spin-off from Agilent Technologies, Keysight is a public company (NYSE: KEYS) headquartered in Santa Rosa, California.