{"id":2256033,"url":"https://alion.io/job/keysight-senior-principal-ai-architect","title":"Senior Principal AI Architect","company":{"id":53596,"name":"Keysight","domain":"keysight.com","url":"https://alion.io/company/keysight","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Jibe","truth_index":{"grade":"B","score":76,"open_postings":109,"ghost_share":0,"stale_share":0.954,"repost_share":0,"time_to_fill_p50_days":38,"computed_at":"2026-10-27T05:46:45Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Loveland, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":196190,"max":326980,"currency":"USD","period":"year","gross":null,"usd_annual":326980},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Machine Learning","optional":false},{"name":"CI/CD","optional":true},{"name":"LLM","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-10-02T15:33:00Z","employer_posted_date":"2026-10-11","last_verified_at":"2026-10-27T12:56:17Z","board_verified":true,"closed_at":null,"days_open":25,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":25},"description":"OverviewKeysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.\nOur award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.\nSoftware & AI Labs is seeking a Senior Principal AI Architect to define enterprise AI architecture and accelerate adoption across Keysight. This role will shape reusable platforms, customer-facing solutions, and scalable adoption patterns that connect AI Labs investments to Keysight’s growth priorities and customer opportunities.\nThe Senior Principal AI Architect will set technical standards, design principles, and architecture direction for AI-enabled platforms and solutions. This senior individual contributor role requires leadership through influence, technical credibility, executive communication, and cross-functional collaboration.\nThe successful candidate will translate AI Labs’ strategy into architectural priorities, technology roadmaps, reusable capabilities, and execution guidance that accelerate adoption, reduce duplication, and create measurable enterprise value.\nResponsibilities\nDefine and communicate an enterprise AI architecture vision that aligns AI Labs investments with customer needs, business unit priorities, and emerging technology trends.\nEstablish reusable architecture patterns that improve interoperability, scalability, maintainability, production readiness, and business unit adoption.\nPartner with AI Labs leadership and senior Keysight stakeholders to shape long-term technology strategy, roadmaps, and architectural priorities.\nDrive architectural consistency across AI Platform, Models & Data Science, Agentic Framework initiatives, and product teams through standards, reference architectures, and design patterns.\nIdentify common capabilities across programs and business unit engagements to reduce duplication and increase reuse of platforms, datasets, models, tools, and engineering patterns.\nReview major AI initiatives to ensure solutions are scalable, maintainable, secure, supportable, and aligned to measurable business value.\nBuild alignment across business units and partner organizations by clarifying architectural tradeoffs and helping teams converge on scalable implementation paths.\nMentor architects, senior engineers, product leaders, and technical contributors through design reviews, technical guidance, architecture forums, and thought leadership.\nGuide technology selection, architectural decisions, and intellectual property development to ensure that AI Labs investments create durable technical advantage and long-term strategic value.\nQualifications\nRequired Qualifications\nAdvanced degree in Computer Science, Electrical Engineering, or a related field, or equivalent professional experience.\nTypically requires 10+ years of experience in senior technical architecture roles with increasing scope and measurable business impact.\nExpertise in one or more areas such as applied AI, machine learning systems, data platforms, software architecture, or AI-enabled product development.\nStrong systems thinking, with the ability to turn recurring use cases into reusable capabilities, standards, and platforms.\nExperience in senior technical leadership roles such as Principal Architect, Chief Architect, Distinguished Engineer, Technical Fellow, or equivalent.\nExperience with measurement instrumentation and test workflows in RF and digital domains, including how software, data, and automation capabilities interface with complex electronic test systems.\nAbility to define and execute technical architecture across multiple engineering teams, product domains, platforms, or business units.\nExperience designing scalable, reusable, production-grade platforms or frameworks that support multiple use cases, teams, or customer-facing solutions.\nStrong understanding of modern AI system design, including data pipelines, MLOps, evaluation methods, deployment patterns, governance, and lifecycle management.\nDemonstrated ability to translate business strategy into technical strategy, architectural priorities, execution plans, and measurable outcomes.\nExperience integrating AI capabilities into commercial software products, engineering workflows, test and measurement systems, or other technically complex customer-facing solutions.\nAbility to operate as a senior individual contributor with broad influence across engineering, product, research, business, and executive stakeholders.\nExcellent communication skills, including the ability to explain complex technical concepts to executive audiences, business stakeholders, and engineering teams.\nAbility to lead through influence, mentor senior technical talent, resolve architectural ambiguity, and drive alignment across teams without direct management authority.\nPreferred Qualifications\nExperience building enterprise AI platforms, agentic systems, model development environments, data science platforms, or AI-enabled product ecosystems.\nExperience with agentic orchestration, LLM-based systems, retrieval-augmented generation, foundation models, model evaluation, AI governance, or domain-specific automation.\nExperience deploying models on hardware platforms, including real-time environments such as FPGAs, GPUs, or NPUs.\nFamiliarity with cloud infrastructure, CI/CD, compute governance, data governance, security review, software supply chain practices, and production operations.\nStrong background in architecture review boards, technical governance forums, design review processes, or enterprise technology standards.\nExperience working across centralized innovation teams and distributed business unit teams where success depends on shared ownership, influence, and adoption.\nAbility to balance innovation speed with architectural discipline, production reliability, security, maintainability, and long-term platform leverage.\nCareers Privacy Statement\nKeysight Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.\nThe level of role will be based on applicable experience, education and skills; Most offers will be between the minimum and the midpoint of the Salary Range listed below.\nColorado pay range: MIN $196,190- MAX $326,980\nNote: For other locations, pay ranges will vary by region\nThis role is eligible for Keysight Results Bonus Program and US Employees may be eligible for the following benefits:\nMedical, dental and vision\nHealth Savings Account\nHealth Care and Dependent Care Flexible Spending Accounts\nLife, Accident, Disability insurance\nBusiness Travel Accident and Business Travel Health\n401(k) Plan\nFlexible Time Off, Paid Holidays\nPaid Family Leave\nDiscounts, Perks\nTuition Reimbursement\nAdoption Assistance\nESPP (Employee Stock Purchase Plan)\nDefine and communicate an enterprise AI architecture vision that aligns AI Labs investments with customer needs, business unit priorities, and emerging technology trends.\nEstablish reusable architecture patterns that improve interoperability, scalability, maintainability, production readiness, and business unit adoption.\nPartner with AI Labs leadership and senior Keysight stakeholders to shape long-term technology strategy, roadmaps, and architectural priorities.\nDrive architectural consistency across AI Platform, Models & Data Science, Agentic Framework initiatives, and product teams through standards, reference architectures, and design patterns.\nIdentify common capabilities across programs and business unit engagements to reduce duplication and increase reuse of platforms, datasets, models, tools, and engineering patterns.\nReview major AI initiatives to ensure solutions are scalable, maintainable, secure, supportable, and aligned to measurable business value.\nBuild alignment across business units and partner organizations by clarifying architectural tradeoffs and helping teams converge on scalable implementation paths.\nMentor architects, senior engineers, product leaders, and technical contributors through design reviews, technical guidance, architecture forums, and thought leadership.\nGuide technology selection, architectural decisions, and intellectual property development to ensure that AI Labs investments create durable technical advantage and long-term strategic value.\nRequired Qualifications\nAdvanced degree in Computer Science, Electrical Engineering, or a related field, or equivalent professional experience.\nTypically requires 10+ years of experience in senior technical architecture roles with increasing scope and measurable business impact.\nExpertise in one or more areas such as applied AI, machine learning systems, data platforms, software architecture, or AI-enabled product development.\nStrong systems thinking, with the ability to turn recurring use cases into reusable capabilities, standards, and platforms.\nExperience in senior technical leadership roles such as Principal Architect, Chief Architect, Distinguished Engineer, Technical Fellow, or equivalent.\nExperience with measurement instrumentation and test workflows in RF and digital domains, including how software, data, and automation capabilities interface with complex electronic test systems.\nAbility to define and execute technical architecture across multiple engineering teams, product domains, platforms, or business units.\nExperience designing scalable, reusable, production-grade platforms or frameworks that support multiple use cases, teams, or customer-facing solutions.\nStrong understanding of modern AI system design, including data pipelines, MLOps, evaluation methods, deployment patterns, governance, and lifecycle management.\nDemonstrated ability to translate business strategy into technical strategy, architectural priorities, execution plans, and measurable outcomes.\nExperience integrating AI capabilities into commercial software products, engineering workflows, test and measurement systems, or other technically complex customer-facing solutions.\nAbility to operate as a senior individual contributor with broad influence across engineering, product, research, business, and executive stakeholders.\nExcellent communication skills, including the ability to explain complex technical concepts to executive audiences, business stakeholders, and engineering teams.\nAbility to lead through influence, mentor senior technical talent, resolve architectural ambiguity, and drive alignment across teams without direct management authority.\nPreferred Qualifications\nExperience building enterprise AI platforms, agentic systems, model development environments, data science platforms, or AI-enabled product ecosystems.\nExperience with agentic orchestration, LLM-based systems, retrieval-augmented generation, foundation models, model evaluation, AI governance, or domain-specific automation.\nExperience deploying models on hardware platforms, including real-time environments such as FPGAs, GPUs, or NPUs.\nFamiliarity with cloud infrastructure, CI/CD, compute governance, data governance, security review, software supply chain practices, and production operations.\nStrong background in architecture review boards, technical governance forums, design review processes, or enterprise technology standards.\nExperience working across centralized innovation teams and distributed business unit teams where success depends...","description_format":"text","description_chars":13293,"description_truncated":true,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Flexible time off","Parental 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