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Phd Architecture Jobs in Renton, WA (NOW HIRING)

Principle AI Architect

Seattle, WA · On-site

$136 - $203/hr

Master's degree or PhD preferred.10+ years of experience designing and delivering technology solutions on edge, cloud, and data platforms.Demonstrated success defining architecture for complex ...

New

Master's degree or PhD preferred. * 10+ years of experience designing and delivering technology solutions on edge, cloud, and data platforms. * Demonstrated success defining architecture for complex ...

... PhD in Computer Science, Computer Engineering, Electrical Engineering or equivalent experience * 6+ years of meaningful work experience * Strong background in GPU or Deep Learning ASIC architecture ...

Master's degree or PhD preferred. * 10 years of experience designing and delivering technology solutions on edge, cloud, and data platforms. * Demonstrated success defining architecture for complex ...

Principle AI Architect

Seattle, WA · On-site

$135K - $203K/yr

Master's degree or PhD preferred. * 10+ years of experience designing and delivering technology solutions on edge, cloud, and data platforms. * Demonstrated success defining architecture for complex ...

New

You have a MS or PhD degree in computer or electrical engineering or equivalent experience * 15+ years of software and/or architecture experience with CPUs and SoCs. * A deep knowledge of OS/driver ...

You have a MS or PhD degree in computer or electrical engineering or equivalent experience 15+ years of software and/or architecture experience with CPUs and SoCs. A deep knowledge of OS/driver ...

Senior AI Architect

Seattle, WA · On-site

$135K - $203K/yr

Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience : 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production ...

Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience : 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production ...

Or an MS degree with 6+ years or a PhD with 4+ years of experience are also eligible. * An understanding in CPU or GPU architecture, memory systems, or network on-chip design. * Experience in large ...

Or an MS degree with 6+ years or a PhD with 4+ years of experience are also eligible. An understanding in CPU or GPU architecture, memory systems, or network on-chip design. Experience in large-scale ...

As part of the NVIDIA Solutions Architecture team, you will be driving end-to-end technology ... What we need to see: * BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or ...

As part of the NVIDIA Solutions Architecture team, you will be driving end-to-end technology ... What we need to see: BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or ...

Showing results 21-40

Phd Architecture information

See Renton, WA salary details

$120.4K

$187.3K

$244.1K

How much do phd architecture jobs pay per year?

As of Sep 2, 2026, the average yearly pay for phd architecture in Renton, WA is $187,285.00, according to ZipRecruiter salary data. Most workers in this role earn between $159,200.00 and $216,000.00 per year, depending on experience, location, and employer.

What is a PhD in Architecture?

A PhD in Architecture is a doctoral degree focused on advanced research in the field of architecture. It typically involves original research that contributes new knowledge to the discipline, culminating in a dissertation. Students in these programs may explore topics such as architectural theory, history, technology, sustainability, or urban design. Graduates often pursue careers in academia, research, or specialized roles in architectural practice.

What are the key skills and qualifications needed to thrive as a PhD in Architecture?

To thrive as a PhD in Architecture, you need advanced knowledge in architectural theory, research methodologies, and design principles, typically supported by a professional architecture degree and a completed doctoral program. Experience with design software such as AutoCAD, Revit, and visualization tools, as well as familiarity with academic research databases, is often required. Exceptional analytical thinking, creativity, written communication, and project management skills help set candidates apart in academic or research roles. These skills are crucial for producing original research, contributing to the field, and effectively teaching or leading innovative projects.

What are some common challenges faced by professionals in PhD-level Architecture roles, and how can they be navigated?

PhD-level Architecture roles often involve balancing independent research with collaborative projects, which can be challenging due to differing timelines and objectives. Professionals may encounter difficulty in securing funding or institutional support for specialized research topics. Navigating these challenges requires strong project management skills, proactive communication with interdisciplinary teams, and actively seeking mentorship or partnerships within academia and industry. Building a robust professional network can also open doors to collaborative opportunities and career advancement.

What is the difference between Phd Architecture vs Architecture Engineer?

AspectPhd ArchitectureArchitecture Engineer
Required CredentialsDoctorate in Architecture or related researchBachelor's or Master's in Architecture or Civil Engineering
Work EnvironmentAcademic, research, or advanced design rolesDesign, project management, and technical implementation
Industry UsageResearch institutions, academia, specialized consultingConstruction firms, architectural firms, engineering companies

While a Phd in Architecture focuses on research, academia, and advanced theoretical work, an Architecture Engineer applies technical engineering principles to design and construction projects. Both roles require a background in architecture, but they serve different career paths within the industry.

How hard is it to get a PhD in architecture?

A PhD in architecture is a challenging academic program that typically requires several years of advanced study, research, and a dissertation. It demands strong analytical, research, and design skills, as well as dedication to independent work and often involves comprehensive exams and project development.

Is it worth getting a PhD in architecture?

A PhD in architecture prepares individuals for academic, research, or specialized roles within the field, often requiring strong analytical, design, and technical skills. It can lead to careers in teaching, research, or advanced consultancy but typically involves several years of study and may not directly increase opportunities in standard architectural practice. Consider your career goals and the time investment before pursuing a PhD in architecture.

What can I do with a PhD in architecture?

A PhD in architecture prepares individuals for advanced research, academic teaching, and leadership roles in design, planning, and policy development. Graduates often work as university professors, researchers, or consultants, utilizing skills in critical analysis, project management, and technical tools like CAD and BIM. It also opens opportunities in industry innovation, preservation, and sustainable development.

What are popular job titles related to Phd Architecture jobs in Renton, WA?

For Phd Architecture jobs in Renton, WA, the most frequently searched job titles are:

What cities near Renton, WA are hiring for Phd Architecture jobs?

Cities near Renton, WA with the most Phd Architecture job openings:

Infographic showing various Phd Architecture job openings in Renton, WA as of June 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $187,285 per year, or $90 per hour.

Fellow Software Engineer-Eng (Agentic AI Architecture & Engineering)

UKG, Inc.

Seattle, WA • On-site, Remote

$153K - $206K/yr

Full-time

Re-posted 20 days ago


UKG rating

7.8

Company rating: 7.8 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

138th of 247 rated software companies


Job description

Why UKG:
At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That's what we do.
We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you'll get flexibility that's real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters-and so do you.
About the Role:
We are seeking a distinguished and customer-facing Fellow AI Engineer to define and lead UKG's enterprise-wide Agentic AI strategy across the full UKG Product Suite. This role extends beyond technical excellence-it requires a seasoned AI leader who partners closely with customers, sales leaders, product teams, and engineering experts to translate AI innovation into measurable business impact.
As a Technical Fellow, you will serve as the strategic and architectural authority for Agentic AI systems. You will shape how autonomous, goal-driven AI agents are designed, deployed, governed, and scaled across all the complete UKG product suite. This role demands a rare blend of deep technical mastery, enterprise architecture thinking, commercial awareness, and executive-level influence and communication.
You will operate at the intersection of customer outcomes, product innovation, and engineering excellence-ensuring UKG leads the market in responsible, scalable, and transformative Agentic AI solutions.
***UKG is unable to offer sponsorship for this position.***
Responsibilities:
Agentic AI Vision & Enterprise Strategy
Define and drive UKG's enterprise-wide Agentic AI strategy, establishing a cohesive architectural and execution framework for intelligent agents across the product portfolio and AI Platform. Translate emerging AI capabilities into a clear roadmap aligned with business priorities, customer value, and long-term platform evolution.
Customer & Field Partnership
Engage directly with strategic customers, sales teams, and solution consultants to:
• Shape AI-driven value propositions
• Identify high-impact agentic use cases
• Support executive conversations and AI strategy discussions
• Translate real-world customer challenges into scalable AI platform capabilities
Serve as a trusted AI advisor in customer engagements, industry forums, and strategic deal cycles.
Cross-Functional Leadership
Collaborate with Product, Engineering, Data Science, Security, and Legal teams to ensure alignment on architecture, governance, and responsible AI frameworks. Facilitate cross-functional consensus to operationalize AI agents in a manner that is secure, compliant, and ready for production deployment. Lead discussions on AI technology at the UKG Board level.
Technical Authority & Architecture
Provide hands-on architectural leadership in:
• Multi-agent systems and orchestration frameworks
• LLM-powered agents and tool-use architectures
• Retrieval-augmented generation (RAG) and knowledge systems
• Autonomous workflow execution and decision intelligence
• AI safety, evaluation, and guardrails
Establish standards for scalability, observability, cost optimization, and performance across cloud-native deployments.
Innovation & Applied Research
Stay at the forefront of Agentic AI advancements, continuously evaluating emerging models, frameworks, and research. Lead rapid experimentation and incubation of next-generation AI capabilities, bridging cutting-edge research with production-grade systems.
Commercial & Product Influence
Collaborate with GTM and Product leadership to ensure AI investments translate into differentiated product offerings. Influence pricing models, packaging strategies, and AI monetization approaches aligned with enterprise customer expectations.
Responsible AI & Governance
Define and champion governance frameworks for autonomous AI systems, including:
• Transparency and explainability
• Human-in-the-loop controls
• Privacy-preserving architectures
• Risk management and compliance
Ensure AI systems align with UKG's commitment to trust, fairness, and ethical innovation.
Mentorship & Organizational Impact
Elevate AI maturity across the organization by mentoring senior engineers and architects. Foster a culture of pragmatic innovation-balancing bold experimentation with disciplined execution.
Industry Representation
Represent UKG as a thought leader in Agentic AI through publications, keynote speaking, customer roundtables, and industry collaborations.
Qualifications:
• Educational Background: PhD in Computer Science, AI, Machine Learning, or a related field, or equivalent industry experience.
• Experience: 15+ years in software development and AI, with at least 5 years of hands-on experience in generative AI, NLP, or related fields. Proven expertise in architecting and deploying large-scale AI/ML systems in production environments.
• Track record of influencing cross-functional stakeholders, including customer-facing teams
• Technical Proficiency: Expert-level skills in programming languages (e.g., Python, Java) and AI frameworks (e.g., TensorFlow, PyTorch). Strong understanding of cloud platforms (AWS, Google Cloud, Azure) and MLOps practices for large-scale model training and deployment.
• AI Methodologies: In-depth knowledge of generative AI methodologies, including transformer models, diffusion models, GANs, large language models, and multi-modal architectures. Familiarity with NLP and machine learning algorithms, such as linear and logistic regression, decision trees, and clustering methods.
• Experience partnering with sales and customers to shape AI roadmaps
• Industry Influence: Recognized thought leader in AI, with a record of publications in top-tier AI conferences/journals (e.g., NeurIPS, ICML, CVPR) and a strong network within the AI research community.
• Executive presence with strong communication and storytelling skills
• Problem-Solving & Strategy: Exceptional problem-solving skills and a proven ability to influence and implement long-term AI-driven strategic initiatives.
Preferred Qualifications:
• Compliance & Responsible AI: Experience working in high-compliance environments or with privacy-preserving AI techniques. Strong familiarity with trends in responsible AI, model interpretability, and ethical AI practices.
• Optimization Expertise: Proven record of optimizing AI models for cost-efficiency at scale through model compression, distillation, and efficient deployment strategies.
• Cloud & DevOps Knowledge: Strong experience with cloud-native architectures, containerization (e.g., Kubernetes), and CI/CD pipeline automation (e.g., Terraform, GitHub Actions).
Company Overview:
UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry - because great organizations know their workforce is their competitive edge. Learn more at ukg.com.
Equal Opportunity Employer
UKG is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, disability, religion, sex, age, national origin, veteran status, genetic information, and other legally protected categories.
View The EEO Know Your Rights poster
UKG participates in E-Verify. View the E-Verify posters here.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Disability Accommodation in the Application and Interview Process
For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com.
The pay range for this position is $233,300.00 to $385,000.00 USD. The actual base pay offered may vary depending on skills, experience, job-related knowledge and work location. In addition to base pay, employees may be eligible to participate in a performance-based bonus plan and to receive restricted stock unit awards as part of total compensation. Learn more about UKG's benefits and rewards at https://www.ukg.com/about-us/careers/benefits

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