At a Glance
- Tasks: Design and implement AI solutions that transform businesses and enhance workflows.
- Company: Join a Fortune 500 company leading the way in AI technology.
- Benefits: Enjoy competitive pay, flexible work options, and a supportive culture.
- Other info: Collaborative environment with opportunities for growth and development.
- Why this job: Make a real impact by shaping the future of work with innovative AI solutions.
- Qualifications: Experience in AI solutions and enterprise software consulting is essential.
The predicted salary is between 77800 - 116800 £ per year.
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. Our culture is rooted in integrity, empathy, and shared enthusiasm. 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.
About The Team: The AI Deployment Architect team sits within Workday’s Professional Services organization and focuses on helping customers realize tangible business value from Workday AI across HCM and Financials. Our functional consultants work directly with HR, Finance, and IT stakeholders to design AI enabled business processes, define use cases, and guide change management and adoption. We partner closely with Product, Engineering, and Engagement Management to ensure that every AI deployment is grounded in strong functional design, robust data foundations, and a clear story for end users. Our work is highly visible: we help some of Workday’s most complex global customers move from AI concepts to day to day workflows that feel intuitive, responsible, and impactful.
About The Role: As an AI Deployment Architect, you will be the primary functional architect responsible for designing end‑to‑end AI transformations for our most complex customers. You’ll connect the capabilities of Workday’s Sana Enterprise AI platform, Workday’s Native AI Agents, and Workday’s Agent Builder Platform to generate ROI and business outcomes for HR, Finance and IT leaders. You will act as a trusted advisor to executive sponsors, design AI‑enabled process and operating models, and lead functional workstreams through preparation, activation, and adoption. In this role, you help customers move well beyond AI “hype” by ensuring every solution is usable, ethical, scalable, and tied to measurable value.
Key Responsibilities:
- Solution Design / Strategic Advisory: Design comprehensive AI‑enabled solutions, serving as a trusted advisor to senior HR, Finance, and IT leaders, translating AI capabilities into clear business value, outcome‑driven roadmaps, and adoption plans for their organizations.
- Functional Leadership: Lead functional workstreams for AI initiatives, including requirements discovery, process design, configuration guidance, data readiness, and user experience considerations.
- Innovation & Feedback: Partner with Product and Engineering to share field insights from customer deployments, influencing the evolution of Workday’s AI agents, platform features, and Sana Enterprise platform.
- Ecosystem Alignment: Collaborate with technical and integration teams to ensure that AI use cases are supported by appropriate data models, security considerations, and integration patterns with third‑party systems.
About You:
Basic Qualifications (P4):
- 1+ years of experience designing or delivering AI‑enabled or analytics‑driven solutions in an enterprise context (e.g., AI agents, intelligent automation, advanced analytics, or ML‑powered features).
- 5+ years of experience in enterprise software consulting or functional implementation including significant experience leading complex, multi‑country or multi‑business‑unit projects.
- Ability to travel up to 50%.
Basic Qualifications (P5):
- 2+ years of experience designing or delivering AI‑enabled or analytics‑driven solutions in an enterprise context (e.g., AI agents, intelligent automation, advanced analytics, or ML‑powered features).
- 8+ years of experience in enterprise software consulting or functional implementation including significant experience leading complex, multi‑country or multi‑business‑unit projects.
- Ability to travel up to 50%.
Other Qualifications:
- Strong business acumen, with the ability to define AI‑enabled use cases, and connect AI capabilities to concrete business outcomes for customers.
- Experience in solutions design, including leading discovery and design workshops to translate business requirements into AI‑enabled workflows, agent behaviours, and governance models.
- Background in professional services or consulting, with experience managing high‑stakes client delivery and collaborating in multi‑disciplinary project teams (e.g., engagement management, technical, change management).
- Excellent communication skills, with the ability to explain complex AI concepts in accessible terms for non‑technical stakeholders while maintaining credibility with technical and product partners.
- Demonstrated decision‑making and process improvement skills, using data and feedback from deployments to refine methodologies, templates, and best practices over time.
- Comfort working in evolving spaces, with a growth mindset and a desire to continuously develop your expertise in AI, agentic workflows, and Workday’s Ethical AI principles.
- Commitment to Workday’s Ethical AI standards, ensuring all solutions are designed to be transparent, fair, and secure for all users.
Sr. AI Deployment Architect employer: Workday
At Workday, we pride ourselves on fostering a vibrant work culture that champions integrity, empathy, and collaboration. As a GTM Manager, you'll not only have the opportunity to drive transformative AI solutions but also benefit from a supportive environment that prioritises your growth and development. With a commitment to innovation and a focus on meaningful work, you'll be part of a team that values your contributions and encourages you to take bold risks in shaping the future of work.
StudySmarter Expert Advice🤫
We think this is how you could land Sr. AI Deployment Architect
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Workday or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Workday.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Workday.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Workday that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Sr. AI Deployment Architect
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Workday.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Workday and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Workday
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Workday uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.