Workday Consultant - AI Focused

Job Overview

Position Title: Workday Extend & Integration Engineer / AI Engineer

Location: 100% Fully Remote

Experience Level: 7–10 years of total hands-on experience (including 3–4 years of

Workday technical specialization)

Education: Minimum bachelor’s degree in computer science, Engineering

Key Responsibilities

• Application & Integration Development: Design, build, test, and support scalable

enterprise applications using Workday Extend and complex inbound/outbound

integrations.

• AI & LLM Architecture: Architect and implement advanced AI solutions, including

Custom MCPs (Model Context Protocol), autonomous AI agents, and secure Large

Language Model (LLM) workflows tied to enterprise data.

• Pipeline Management: Utilize Workday Studio, Workday Orchestrate, Core

Connectors, EIBs, and advanced web services to manage complex downstream data

flows.

• Framework Design: Define robust engineering standards, custom reusable

frameworks, and ironclad security models for secure automation platforms.

• Technical Leadership: Serve as the subject matter expert (SME) across integration

lifecycles, translating complex business demands into scalable code frameworks.

Required Skills & Qualifications

• Certifications: Active Workday Certification in Extend and/or Integrations.

• Workday Technical Stack: Proven mastery of Workday Studio, EIBs, RaaS, Core

Connectors, and standard tools.

• Web Services & Data: Deep understanding of REST/SOAP APIs, JSON, XML, XSLT, and

enterprise integration patterns.

• AI Expertise: Practical experience embedding orchestration frameworks, RAG

architectures, and AI-assisted development tools within enterprise layers.

• Security & Automation: Strong expertise in secure data transfer, custom endpoint

verification, and enterprise-grade automation tools.