AI Hire Signal
JobsCompaniesTrendsInsightsWeekly
JobsStrategy timeline
AI Hire Signal

Tracking AI hiring across 200+ US tech companies. Stage, salary, and stack signals on every role — refreshed weekly.

Contact

Browse

JobsCompaniesTrendsInsightsWeekly

Resources

AboutSitemapRobots

Legal

PrivacyTerms
© 2026 AI Hire Signal·Not affiliated with companies shown

Currently tracking 23 active AI roles, down 11% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $108k–$342k (avg $219k).

Hiring
23 / 46
Momentum (4w)
↓-19 -11%
147 opens last 4w · 166 prior 4w
Salary range · avg $219k
$108k–$342k
USD · disclosed roles only
Tracked since
Jan 23
last role 5w ago
Hiring velocityscroll left for older weeks
1 new role
Sep 22
1 new role
Oct 6
2 new roles
Nov 10
1 new role
Dec 1
1 new role
8
4 new roles
Jan 5
3 new roles
12
6 new roles
19
1 new role
26
7 new roles
Feb 2
5 new roles
9
7 new roles
16
4 new roles
23
9 new roles
Mar 2
17 new roles
9
16 new roles
16
16 new roles
23
19 new roles
30
20 new roles
Apr 6
41 new roles
13
39 new roles
20
43 new roles
27
86 new roles
May 4
35 new roles
11
31 new roles
18
14 new roles
25
38 new roles
Jun 1
46 new roles
8
37 new roles
15
26 new roles
22

Workday has 43 active AI-related job listings, with a significant focus on roles related to agents, which comprise 67% of their openings. Engineering is the primary function for these hires, with the United States and Canada being the top hiring countries. The company is actively seeking talent in areas such as agent orchestration, model serving, and RAG. In the last 30 days, Workday has seen a substantial increase in AI hiring, with 44 new roles posted, representing a 144% rise compared to the previous 30-day period.

Auto-generated from active job postings · last refreshed 2026-05-24

Frequently asked questions

  • What AI roles is Workday hiring for?

    Workday currently has 54 active AI-related roles in our index. The most common open titles are: Senior Software Development Engineer (2), Software Development Engineer (2), Software Development Engineer (Full Stack) (2), Enterprise Solutions Architect, Engineering Platform Services, LLM Engineer. Most positions are in Engineering and Product.

  • What stage of AI development does Workday focus on?

    Workday's active AI hiring is concentrated in: agents (78%), application (15%), serving infrastructure (6%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.

  • Where is Workday hiring AI talent?

    Workday is hiring AI talent in: United States (25 roles), Canada (18 roles), Israel (5 roles), Ireland (5 roles).

  • What technologies does Workday's AI team work with?

    Job postings at Workday most frequently reference: agent orchestration, llm observability, model serving, rag, tool use.

  • How many AI roles has Workday posted recently?

    In the past 30 days, Workday has posted 38 new AI-related roles.

Jobs (63)

26 AI · 227 total active
Show
Active onlyAI only (≥ 7)
Stage
AllData · 2Pretrain · 1Serve · 4Agent · 51Ship · 5
Function
AllEngineering · 50Product · 12Research · 1
Country
AllUnited States · 40Canada · 18Ireland · 5Denmark · 2Israel · 2Sweden · 1
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Software Development Engineer - AI Platform (US Federal)
Software Development Engineer to build and maintain the Agent Platform, focusing on infrastructure for developing, deploying, and operating AI agents in production. Responsibilities include designing backend services, systems, and tooling for the AI application SDLC, covering distributed systems, orchestration, developer experience, and enabling teams to reliably build, test, and scale AI-powered workflows.
AgentServeEngineeringBoulder, CO +18w ago7
Principal Software Engineer
This Principal Software Engineer role focuses on building and scaling MLOps and CloudOps infrastructure for Workday's AI platform. The engineer will design and implement microservices, APIs, and cloud infrastructure using Python, Go, Terraform, and Kubernetes, with a focus on enabling the development, training, deployment, and lifecycle management of ML capabilities. The role also involves supporting Agentic AI systems and LLM-based applications, requiring experience with distributed systems, cloud computing, and infrastructure-as-code.
51–63 of 63← Prev12Next →
ServeAgent
Engineering
Toronto, ON +1
8w ago
7
Principal Technical Delivery Consultant - AI Practice
This role is for a Principal Technical Delivery Consultant focused on AI solutions within Workday's Professional Services. The consultant will be responsible for designing and overseeing the technical realization of AI solutions for customers, including Native AI Agents, the Workday Agent Platform, and external LLMs. Key responsibilities include solution architecture, strategic advisory to C-suite, technical leadership in delivery, and providing feedback to Product and Engineering teams. The role requires strong experience in enterprise software implementation, technical architecture, and hands-on experience with AI/ML deployments like LLM-based solutions and RAG architectures.
AgentEngineeringChicago, IL +1 · RemoteApr 247
Principal/ Senior Software Development Engineer (Full Stack)
Workday is seeking a Principal/Senior Software Development Engineer to join their Agent Factory team. This role involves building production-grade AI agents deeply embedded into Workday's platform for HR and Finance workflows. The engineer will design and ship full-stack solutions, integrating LLMs with backend systems, and owning services from development to production. The position emphasizes working at the intersection of AI, platform architecture, and human workflows, with a focus on scaling intelligent agents responsibly.
AgentEngineeringPleasanton, CAApr 237
Principal Software Engineer, AI
Workday is seeking a Principal Software Engineer, AI to join the Deployment Adoption Platform team. This role will focus on building an AI platform to reduce the cost of implementing Workday globally, utilizing Large Language Models and agentic design patterns. The ideal candidate will have extensive experience in software engineering, Python, LangGraph, LangChain, and feature engineering, with a strong understanding of Data Science principles and experience with LLM-based applications and agentic systems.
AgentEngineeringDublin, IrelandApr 167
Principal Product Manager, Finance Applications
Principal Product Manager for Finance Applications at Workday, focusing on defining and driving an AI-first strategy for the finance application ecosystem. This role involves orchestrating Workday's product suite, custom innovations, and third-party technologies to build an intelligent financial platform by embedding intelligent automation, predictive analytics, and generative AI. The PM will define roadmaps, design digital and agentic finance experiences, lead product lifecycles, mentor a team, partner with leadership, and influence the finance product roadmap. Requires significant experience in product management, launching AI/ML-powered products, and ERP/finance domain expertise.
ShipAgentProductPleasanton, CA +1Apr 157
Manager, Software Development Engineering - AI Platform
Engineering Manager to lead a team building the Agent Platform, which is the core infrastructure for developing, deploying, orchestrating, and operating AI agents in production. The role involves leading engineers on backend services, distributed systems, and developer tooling, driving execution, shaping technical direction, and building a high-performing team.
AgentEngineeringVancouver, BC +1Apr 147
Legal AI Product Specialist / Sr Legal AI Product Specialist - Evisort AI
This role focuses on product specialization within Legal AI, specifically for contract management. It involves crafting and maintaining datasets for legal models, collaborating with Product Managers and Data Science teams, identifying automation use cases, and becoming a subject matter expert in contracts. The role requires experience with generative AI and LLMs, and analyzing large volumes of legal data.
DataProductVancouver, BC +2Apr 87
Senior / Principal Product Manager - Workday AI
Product Manager role focused on the delivery of AI-powered agents, either customer-facing or building the underlying infrastructure and frameworks for Workday's application teams. The role involves experimentation, innovation, development, iteration, and scaling of these agents, requiring close collaboration with domain-specific Product Managers to maximize technological impact and drive business value.
AgentProductVancouver, BC +2Apr 77
Senior Machine Learning Engineer
Senior Machine Learning Engineer at Workday, focused on building an AI platform to reduce the cost of implementing Workday globally. The role involves hands-on experience with LLMs, agentic design patterns, and deploying ML models in production.
AgentEngineeringDublin, IrelandApr 27
Senior Developer, Agentic AI Engineering
Senior Developer for the Customer Agentic Solutions team, focusing on building and operating AI-powered translation self-help services and solutions to globalize Workday AI Agents. The role involves end-to-end ownership of AI features, including problem framing, model selection, prompt engineering, evaluations, safety, cost/latency optimization, and lifecycle governance, with an emphasis on production reliability and business outcomes.
AgentEngineeringDublin, IrelandMar 207
Sr Product Manager Payroll AI
Senior Product Manager for Payroll AI, focusing on strategy and delivery of AI-powered features and skills for a Payroll Agent. The role involves owning projects across the agent lifecycle, defining customer problems, shaping platforms, and translating AI capabilities into scalable solutions and customer impact. This is a product-focused role within an enterprise AI platform, dealing with production-grade AI embedded into Workday's platform.
AgentProductDublin, IrelandFeb 127
Sr Product Manager - Workday AI
Senior Product Manager to lead strategy and delivery of AI-powered agents for Workday's enterprise platform. Focus on customer problem definition, shaping platforms, and translating AI capabilities into scalable solutions and measurable customer impact. Role requires strong product judgment, execution bias, and curiosity about AI's business applications.
AgentProductSeattle, WAJan 237