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Sr Principal AI Architect

Your work days are brighter here.

At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That’s why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don’t need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here.

At Workday, we value our candidates’ privacy and data security.  Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. 

  

Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.

  

In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

About the Team

The Enterprise Data and AI Technologies & Architecture (EDATA) organization is a dynamic and evolving team that is spearheading Workday’s growth through trusted data excellence, innovation, and architectural thought leadership. Equipped with an array of skills in data & AI platforms and architecture, data science, engineering, machine learning and AI strategy & product management, this team orchestrates the flow of data across our growing company while ensuring data accessibility, accuracy, and security. With a relentless focus on innovation and efficiency, Workmates in EDATA enable the transformation of complex data sets into actionable insights that fuel strategic decisions and position Workday at the forefront of the technology industry.


EDATA is a global team distributed across the U.S., Canada and India.

About the Role

About the Role

Join a pioneering organization at the forefront of technological advancement, dedicated to leveraging data-driven insights to transform industries and drive innovation. 

Workday is seeking a Senior Principal AI Architect within EDATA who will be a recognized thought leader and a driving force in shaping and executing our enterprise-wide Artificial Intelligence (AI) strategy. You will partner with executive leadership, Platform Engineering, Data Science, Data Engineering, AI Product Management, and key business stakeholders to define the long-term architectural vision for AI, spearheading the design and implementation of highly complex, scalable, secure, and impactful AI solutions leveraging our extensive data assets and advanced platforms.

This is a unique opportunity to exert significant influence on Workday's enterprise AI capabilities, ensuring deep alignment with our overarching data and analytics architecture, fostering a culture of technical excellence and innovation, and directly contributing to Workday's competitive advantage.

Responsibilities

The incumbent will be responsible for (but not limited to) the following:

  • Visionary Leadership: Define and evangelize the long-term AI architectural vision, strategy, and roadmap for Workday, proactively anticipating future needs and aligning with executive business priorities and the broader technology landscape.

  • Enterprise-Scale Solution Architecture: Architect highly complex, enterprise-grade AI solutions, including advanced machine learning models, sophisticated natural language processing (NLP) systems, agentic capabilities, and innovative AI technologies, ensuring unparalleled scalability, performance, resilience, and security.

  • Deep Platform Integration Strategy: Define the strategic direction for the seamless and optimized integration of AI solutions with our core data platforms (Snowflake and Databricks), establishing architectural patterns and guidelines for leveraging their advanced capabilities.

  • Emerging Technology Foresight: Proactively research, evaluate, and strategically recommend disruptive and emerging AI technologies, tools, and frameworks, positioning Workday as an industry leader in AI innovation.

  • Architectural Governance and Standards: Establish and govern enterprise-wide architectural principles, patterns, and best practices for the full lifecycle of AI solution development and deployment within EDATA, ensuring consistency, quality, and maintainability.

  • Executive Collaboration and Influence: Collaborate strategically and influence executive leadership, Data Science and Engineering leadership, and key business stakeholders to drive alignment on the AI architectural vision, advocate for strategic investments, and ensure successful adoption of AI initiatives.

  • Risk Management and Compliance Architecture: Define and implement robust architectural frameworks to proactively address data governance, security, ethical considerations, and regulatory compliance requirements for AI systems at an enterprise scale.

  • Performance Engineering and Optimization Strategy: Lead the development of strategic approaches for identifying and resolving critical architectural bottlenecks and performance limitations in complex AI systems, ensuring optimal resource utilization and exceptional user experiences for AI-powered products and services.

  • Technical Mentorship and Talent Development: Provide strategic technical leadership, mentorship, and guidance to Principal Architects, architects, and engineering leaders across the organization, fostering a culture of technical excellence and developing future AI architectural talent.

Strategic Innovation and Incubation: Drive strategic innovation by identifying and championing transformative AI use cases and technologies, leading high-impact proof-of-concept initiatives and incubating new AI capabilities with significant potential for business disruption and growth.

About You

Business Qualifications

  • 15+ years of progressive experience in data and analytics, with a significant and demonstrable track record of architecting and delivering highly complex AI/ML solutions at enterprise scale (with AI infrastructure, application deployment and operations taken into consideration).

  • 7+ years experience with advanced machine learning algorithms, statistical modeling techniques, deep learning architectures, natural language processing (NLP), and other cutting-edge AI methodologies.

  • 7+ year experience with architecting solutions on cloud-based data platforms, with mastery of Snowflake and Databricks and a strong understanding of their advanced features and capabilities for AI/ML workloads.

Other Qualifications

  • Bachelor's or Master's degree (PhD preferred) in Computer Science, Data Science, Artificial Intelligence, or a related field.

  • Proven ability to architect and oversee the implementation of highly scalable, resilient, and secure data pipelines and end-to-end MLOps workflows for deploying and managing AI models in production environments at scale.

  • Comprehensive understanding of enterprise data governance frameworks, security architectures, ethical considerations in AI, and regulatory compliance requirements relevant to AI systems.

  • Exceptional communication, presentation, and influencing skills, with the proven ability to articulate complex technical visions and strategies to executive leadership and diverse audiences.

  • Demonstrated ability to lead, inspire, and influence senior technical leaders and cross-functional teams across a large organization.

  • Extensive experience with advanced MLOps platforms and practices for automating, monitoring, and governing the AI lifecycle at scale.

  • Significant experience in a SaaS environment, with a strong understanding of the unique architectural challenges and considerations.

What Sets You Apart

  • Recognized as a thought leader in the AI/ML domain with a deep understanding of emerging trends, disruptive technologies, and their potential impact on enterprise businesses.

  • Proven experience in defining and driving transformative enterprise-wide AI strategies that have resulted in significant business outcomes and competitive advantage.

  • Exceptional track record of successfully architecting and delivering highly complex and innovative AI solutions that have had a measurable and significant impact on the business.

  • Strategic thinker with exceptional problem-solving and analytical skills, capable of navigating ambiguity and driving clarity in complex technical landscapes.

  • A passion for pushing the boundaries of AI innovation and a demonstrated ability to translate emerging technologies into tangible business value.

  • Strong network and presence within the AI/ML research and industry communities.

If you are a visionary and highly accomplished AI Architect with a passion for shaping the future of enterprise AI and driving transformative impact at scale, we invite you to join our leadership team at Workday. This is an unparalleled opportunity to lead and influence the direction of AI within a world-class technology organization.


Workday Pay Transparency Statement 

The annualized base salary ranges for the primary location and any additional locations are listed below.  Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please click here.

Primary Location: CAN.ON.Toronto

Primary CAN Base Pay Range: $204,700 - $307,100 CAD

Additional CAN Location(s) Base Pay Range: $204,700 - $307,100 CAD



Our Approach to Flexible Work
 

With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!

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What You Should Know About Sr Principal AI Architect, Workday

At Workday, we're excited to invite a Senior Principal AI Architect to join our dynamic team based in Toronto, Canada. With a culture rooted in innovation and excellence, you'll be at the forefront of shaping our enterprise-wide AI strategy. Imagine a work environment where your ideas are not just heard but celebrated; that's what we strive for every day. As a key player in our Enterprise Data and AI Technologies & Architecture (EDATA) organization, you will use your extensive background in AI and machine learning to architect robust solutions that foster strategic decision-making across the company. Your role will encompass defining long-term AI vision, ensuring seamless architecture integration with platforms like Snowflake and Databricks, and guiding our talented teams in delivering scalable AI systems. We believe in a collaborative, people-first culture where your professional development matters. Here, you can express yourself fully and contribute your best every day. If you're passionate about pioneering transformative AI solutions and have a track record of driving innovation in the technology sector, this is the perfect opportunity for you to make a real difference at Workday. Come and shine with us! We're committed to our candidates' privacy and security, and we ensure a respectful and transparent hiring process.

Frequently Asked Questions (FAQs) for Sr Principal AI Architect Role at Workday
What are the responsibilities of a Senior Principal AI Architect at Workday?

The Senior Principal AI Architect at Workday is responsible for defining and executing the enterprise-wide AI architectural vision. This includes architecting complex AI solutions, defining integration strategies with platforms like Snowflake and Databricks, and establishing architectural governance for AI solution development. Additionally, this role involves leading technical mentorship, evaluating emerging technologies, and collaborating with executive leadership to drive AI initiatives.

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What qualifications are needed for the Senior Principal AI Architect position at Workday?

Candidates for the Senior Principal AI Architect role at Workday should ideally have over 15 years of experience in data analytics, demonstrating a solid background in AI/ML solutions at an enterprise level. A bachelor's degree in computer science or a related field is required, with a master’s or Ph.D. preferred. Experience with machine learning algorithms, cloud-based platforms such as Snowflake and Databricks, and familiarity with data governance and compliance issues are also crucial for this role.

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How does Workday promote a collaborative culture for a Senior Principal AI Architect?

Workday emphasizes a people-first collaborative culture that values open communication and teamwork. As a Senior Principal AI Architect, you'll work closely with cross-functional teams, including executive leadership and engineering departments, to ensure alignment on AI strategies. The company supports flexible working arrangements and encourages diverse perspectives, making it an environment where your innovative ideas can truly shine.

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What impact will the Senior Principal AI Architect have on Workday's AI initiatives?

The Senior Principal AI Architect plays a pivotal role in shaping Workday's AI initiatives, directly influencing the effectiveness of AI solutions across the organization. By defining the long-term AI strategy and ensuring seamless architectural integration, this position empowers the company to drive data-driven decisions, improve operational efficiencies, and maintain a competitive edge in the technology landscape.

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What does the hiring process look like for a Senior Principal AI Architect at Workday?

The hiring process for a Senior Principal AI Architect at Workday includes multiple stages to ensure a good fit for both parties. After initial screening of resumes, qualified candidates may undergo interviews with team leaders and executives to discuss their experience and vision for AI at Workday. The process is transparent, and the company is committed to respecting candidates' privacy throughout.

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Common Interview Questions for Sr Principal AI Architect
Can you describe your experience with architecting AI solutions?

When addressing your experience with architecting AI solutions, focus on specific projects that highlight your strategic vision. Outline the technologies you used, the challenges you faced, and the tangible business outcomes achieved. Be prepared to discuss how you ensured scalability, security, and resilience in the solutions you architected.

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How do you stay updated with emerging technologies in AI?

Discuss your methods for staying current with AI trends. Mention attending industry conferences, following research papers, participating in professional networks, or taking online courses. Illustrate how this knowledge has translated into practical applications in your work, ensuring you remain a leader in AI innovation at Workday.

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What role does collaboration play in your architectural process?

Explain the importance of collaboration in your work by providing examples of successful projects achieved through teamwork. Highlight how you've engaged with cross-functional teams, influenced executive decisions, and aligned diverse perspectives to create effective AI architectures.

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Can you discuss your experience with data governance frameworks?

When discussing data governance frameworks, mention your familiarity with regulations and ethical considerations pertinent to AI systems. Provide specific examples of how you've integrated governance practices into your architectural design to ensure compliance and security.

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What strategies do you use for mentoring junior architects?

Share your approach to mentoring by describing specific techniques you utilize to foster talent development. Discuss how you promote a culture of learning through structured mentorship programs, peer reviews, or hands-on workshops, ensuring knowledge transfer and technical excellence within your teams.

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Describe a time when you had to address architectural bottlenecks in a project.

Provide a clear example of an architectural bottleneck you encountered and the steps you took to address it. Discuss the analysis you conducted, the solutions you implemented, and the overall impact on project timelines and deliverables, emphasizing your problem-solving skills.

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How do you balance innovation with risk management?

Discuss your framework for balancing innovation and risk management, including how you assess the risks associated with new technologies while maintaining a forward-thinking approach. Illustrate with examples where you've successfully introduced innovative solutions while ensuring compliance and governance.

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What tools and platforms are essential for AI architecture?

Mention key tools and platforms, such as Snowflake and Databricks, and explain why they are critical for AI architecture. Discuss your hands-on experience with these platforms and their advanced features that support complex AI systems, ensuring you illustrate their value in project delivery.

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How do you define success for an AI project?

Define success for an AI project in terms of measurable business outcomes, user adoption rates, and meeting project deadlines. Discuss how you establish KPIs and metrics during the planning phase, and describe how you assess whether the project objectives were met post-implementation.

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What trends do you see shaping the future of AI?

Share your insights on current and emerging AI trends that may influence the industry, such as advancements in natural language processing, the growth of ethical AI, or increased automation. Discuss how you intend to leverage these trends to promote Workday's competitive edge in AI initiatives.

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Workday brings finance, HR, and planning into one system, making it possible for enterprises of all sizes to shed their disparate systems and build better businesses. We serve over 7,900 of the world’s largest companies, educational institutions, ...

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