Product Advisor, Deployment Innovation

Workday Workday · Enterprise · USA.VA.Reston, United States +1

The role focuses on building an 'AI Deployment Engine' for Workday, using AI-powered automations and orchestrations to replace manual implementation work. The core task involves designing and refining an AI agent that can plan work, utilize tools and APIs, and learn from execution data, leveraging technologies like RAG and LLMs.

What you'd actually do

  1. Contribute to the design and build of AI automations and orchestrations that reduce deployment effort for HCM and Payroll implementations
  2. Partner closely with some of Workday's best functional consultants to translate deployment best practices and customer nuances into robust, reusable AI-driven automations
  3. Identify opportunities to streamline and standardize implementation workflows, testing, and training content using AI tools and emerging deployment automation capabilities
  4. Collaborate with cross-functional partners across Product, Services, Customer, and Partner teams to support alignment of automation strategies with broader deployment goals
  5. Help break down ambiguous implementation challenges into scalable, tool- and workflow-based solutions that can be repeated across the ecosystem

Skills

Required

  • 5+ 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

Nice to have

  • Adaptable and open to change
  • Effective communicator and collaborator
  • Quick to learn new technologies and product areas
  • Organized and able to manage competing priorities
  • Strong analytical and problem-solving mindset
  • 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

What the JD emphasized

  • AI-native talent
  • fundamentally reshape how enterprise software is deployed
  • AI-powered automations and orchestrations replace manual, repetitive implementation work at scale
  • AI agent that operates much like a virtual implementation consultant
  • plan work, call tools and APIs
  • continuously learn from execution data to improve deployments over time
  • work hands-on with technologies like Model Context Protocol (MCP) Servers, Retrieval-Augmented Generation (RAG) models, and LLMs
  • design, build, and iterate on intelligent workflows
  • directly reduce the hours required of engagement managers and consultants
  • making Workday HCM and Payroll deployments faster, more consistent, and scalable
  • using AI to solve real-world problems at scale
  • redefining how enterprise software is deployed
  • Hands-on experience building automations, orchestrations, or workflow-based solutions using AI tools, scripting, or low-code/no-code platforms
  • Willingness to work directly with these tools to design and iterate on deployment solutions

Other signals

  • AI-powered automations and orchestrations
  • AI agent that operates much like a virtual implementation consultant
  • plan work, call tools and APIs
  • Retrieval-Augmented Generation (RAG) models
  • LLMs
  • intelligent workflows