About the Team

About the Role

As a Product Advisor on the GO Implementation Strategy team, you will help build the "AI Deployment Engine" for Workday — a new model where AI-powered automations and orchestrations replace manual, repetitive implementation work at scale. This is not a traditional consulting role. We are looking for AI-native talent who are energized by the opportunity to fundamentally reshape how enterprise software is deployed. You will help design and refine an AI agent that operates much like a virtual implementation consultant — able to plan work, call tools and APIs, and continuously learn from execution data to improve deployments over time.

You will work hands-on with technologies like Model Context Protocol (MCP) Servers, Retrieval-Augmented Generation (RAG) models, and LLMs, using tools such as Cursor and Sana to design, build, and iterate on intelligent workflows. Your work will directly reduce the hours required of engagement managers and consultants, making Workday HCM and Payroll deployments faster, more consistent, and scalable across our medium enterprise customer base.

If you are passionate about using AI to solve real-world problems at scale and want to be part of a team that is redefining how enterprise software gets deployed, this role is for you.

Responsibilities include:

• Contribute to the design and build of AI automations and orchestrations that reduce deployment effort for HCM and Payroll implementations

• Partner closely with some of Workday's best functional consultants to translate deployment best practices and customer nuances into robust, reusable AI-driven automations

• Identify opportunities to streamline and standardize implementation workflows, testing, and training content using AI tools and emerging deployment automation capabilities

• Collaborate with cross-functional partners across Product, Services, Customer, and Partner teams to support alignment of automation strategies with broader deployment goals

• Help break down ambiguous implementation challenges into scalable, tool- and workflow-based solutions that can be repeated across the ecosystem

• Stay current with advancements in AI/ML-driven tools and apply them to continuously improve deployment approaches

• Support progress across multiple parallel initiatives in a structured and organized way, balancing competing priorities effectively

About You

Basic Qualifications

• 2+ years of related work experience

• Hands-on experience building automations, orchestrations, or workflow-based solutions using AI tools, scripting, or low-code/no-code platforms

• Familiarity with AI/ML technologies such as LLMs, RAG models, MCP Servers, or similar, and a willingness to work directly with these tools to design and iterate on deployment solutions

Other Qualifications

• Hands-on experience building automations, orchestrations, or workflow-based solutions using AI tools, scripting, or low-code/no-code platforms

• Adaptable and open to change, with a willingness to adjust to evolving product and deployment strategies, learn from setbacks, and find a path forward when faced with new challenges

• Effective communicator and collaborator, with experience working alongside cross-functional groups such as Product, Services, Engineering, Partners, and Customer teams. You can explain technical concepts in simple, accessible terms to audiences with varying levels of technical knowledge

• Quick to learn new technologies and product areas, including AI/ML-driven tools and emerging deployment automation capabilities. You are eager to rapidly understand new problems, remain flexible, and apply new knowledge to unfamiliar situations

• Organized and able to manage competing priorities, with a structured approach to supporting progress across parallel initiatives while maintaining quality

• Strong analytical and problem-solving mindset, with an ability to help break down ambiguous implementation challenges into scalable, repeatable solutions

• Comfortable using AI tools such as generative AI assistants (e.g., Cursor, Sana) to design or enhance implementation workflows, documentation, and training content. Familiarity with technologies like MCP Servers, RAG models, and LLMs is a plus

• Previous consulting experience, either as an internal consultant or with a consulting or software company, is a plus

• Willing to travel up to 25% of the time, as required by business needs

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 .

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.