Sr Enterprise Architect
Workday6 LocationsPosted 10 April 2026
Tech Stack
Job Description
Your work days are brighter here.
We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.
About the Team
As a member of our diverse and skilled North America Presales team, you will have the opportunity to communicate and demonstrate the power of Workday's applications to prospects and customers alike. It is this team's job to bring the value of Workday solutions to life and showcase how the world of work can be transformed! Along with working closely with our sales counterparts, this team also sits at the exciting intersection of our Product Management, Consulting Services, Marketing, and Value Management teams, providing exposure to various areas of the business.
About the Role
Do you enjoy talking about AI applications, and engaging in conversation to better understand others?
We are looking for someone with a specialization in Artificial Intelligence and proven success with leading technical discussions with C-level executives, IT leaders, and business stakeholders to communicate AI vision and strategy including Responsible AI.
Do you enjoy talking about AI applications, and engaging in conversation to better understand others and solving technical business challenges?
We are looking for someone with a specialization in Artificial Intelligence and proven success in leading value-centric technical discussions with C-level executives, IT leaders, and business partners to communicate AI vision, strategy and importance of Responsible AI.
About You
Basic Qualifications - Senior Enterprise Architect :
2 years of experience applying AI as a business solution with concepts such as Agents, LLMs, machine learning and natural language processing.
5 years of experience applying knowledge of cloud architecture, security, reporting, and integration standards
5 years of Enterprise Software Solution Consulting experience or hands-on experience supporting enterprise software applications.
5 years delivering compelling presentations both in person and virtual meetings, effectively communicating technical concepts and strategic initiatives
5 years applied working knowledge of cloud architecture, security, reporting, and integration standards
Basic Qualifications - Enterprise Architect :
2 years of experience applying AI as a business solution with concepts such as Agents, LLMs, machine learning and natural language processing.
3 years of experience applying knowledge of cloud architecture, security, reporting, and integration standards
3 years of Enterprise Software Solution Consulting experience or hands-on experience supporting enterprise software applications.
3 years delivering compelling presentations both in person and virtual meetings, effectively communicating technical concepts and strategic initiatives
3 years applied working knowledge of cloud architecture, security, reporting, and integration standards
Other Qualifications :
Solid understanding of cl ... (truncated, view full listing at source)
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