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

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Currently tracking 23 active AI roles, down 46% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $108k–$342k (avg $219k).

Hiring
23 / 46
Momentum (4w)
↓-96 -46%
113 opens last 4w · 209 prior 4w
Salary range · avg $219k
$108k–$342k
USD · disclosed roles only
Tracked since
Jan 23
last role 2w 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
13 new roles
25
34 new roles
Jun 1

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 33 active AI-related roles in our index. The most common open titles are: Director of Machine Learning Engineering - Agent Factory, LLM Engineer, Machine Learning Engineer - Evisort, Manager, Software Development Engineering, Manager, Software Development Engineering - AI Platform. 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 (67%), application (24%), 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 (13 roles), Canada (13 roles), Israel (5 roles), Ireland (2 roles).

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

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

  • How many AI roles has Workday posted recently?

    In the past 30 days, Workday has posted 24 new AI-related roles. That is a -41% change versus the prior 30 days (41 → 24).

Jobs (17)

21 AI · 181 total active
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TitleStageFunctionLocationFirst seenAI score
Director of Machine Learning Engineering - Agent Factory
Workday is seeking a Director of AI Agent Engineering to lead the development of AI agents for HR and Finance business functions. The role involves building and mentoring a team, driving technical excellence, and ensuring the delivery of scalable and secure AI agent solutions that integrate with the Workday platform. Key responsibilities include evaluating and integrating AI technologies like LLMs, RAG, and orchestration frameworks, and ensuring adherence to data privacy, security, and compliance standards.
AgentEngineeringSeattle, WA4d ago8
Senior Software Engineer (Gen AI)
Workday is seeking a Senior Software Engineer (Gen AI) to join their Adaptive Planning organization. The role focuses on designing and building agentic workflows that integrate AI into financial planning systems for large enterprises. Responsibilities include technical leadership in AI agent development, embedding agentic capabilities, collaborating cross-functionally, owning the AI development lifecycle, and leveraging enterprise data for model optimization. The position requires strong Python and Java skills, experience with LLMs, RAG, and cloud platforms.
Agent
Engineering
Boulder, CO +2
5d ago
8
Principal Machine Learning Engineer - Evisort AI
Workday is seeking a Principal Machine Learning Engineer to join the Evisort AI team, focusing on Document Intelligence and Contract Intelligence. The role involves developing tailored user experiences using LLMs and Knowledge Graphs, delivering ML solutions across Workday's product ecosystem, and deploying new AI products at scale. This position requires extensive experience in ML frameworks, production ML systems, LLMs, and cloud platforms, with a strong emphasis on product development and team leadership.
ShipAgentEngineeringSeattle, WA +18w ago8
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 · Remote7w ago7
Technical Consultant for Workday CLM Evisort
This role is for a Technical Consultant on the Workday CLM and Contract Intelligence team, which uses AI to make contracts searchable and simplify deal-making. The consultant will provide expertise, deliver solutions to customers, and help scale the organization by creating repeatable processes. The role requires experience in business process analysis, SaaS project delivery, CLM/Contract Intelligence, and API integrations.
AgentEngineeringPleasanton, CA +15w ago5
Sr. Grants Management Implementation Consultant, Higher Education
This role is for a Sr. Grants Management Implementation Consultant at Workday, a company that uses AI tools to enhance its enterprise AI platform for managing people, money, and agents. The consultant will partner with colleges and universities to design, configure, and deploy Workday Grants Management solutions, focusing on implementation, data conversion, integrations, and testing. While the company utilizes AI tools and has an AI platform, the core function of this role is consulting and implementation of a financial management system, not direct AI/ML model development or research.
—EngineeringUnited States · Remote5w ago5
Senior Manager, Finance Business Architect
This role focuses on architecting the finance function to be AI-ready by establishing data quality, governance, and system integration foundations. It involves translating finance processes into scalable system and data designs, ensuring data integrity, and defining master data management standards to support AI and advanced analytics use cases within the finance organization.
—EngineeringPleasanton, CA6w ago5
Sr. Software Engineer, Security (Pipedream)
Workday is seeking a Sr. Software Engineer, Security for their Pipedream team. This role will own platform security end-to-end, including tooling, process, threat modeling, and audits, while also working hands-on in the codebase to find and fix vulnerabilities. The engineer will be responsible for securing cloud infrastructure, leading incident response, and owning compliance work like SOC 2 and HIPAA. The role requires extensive experience in product security, application security, or software engineering with a security focus, and experience securing cloud platforms.
—EngineeringPleasanton, CA4d ago0
Analytics Sr Software Engineer (US Federal)
This role is for an Analytics Sr Software Engineer on the Analytics Delivery Engineering team at Workday, focusing on building and maintaining a scalable, reliable, and automated services framework for Prism Analytics within Workday Federal deployments. The role involves CI/CD, monitoring, alerting, tracing, Kubernetes platform development, infrastructure automation, and ensuring security and compliance for U.S. federal government contracts.
—EngineeringMcLean, VA +14d ago0
Software Development Engineer--Pipedream Connect
Software Development Engineer to expand core capabilities of Pipedream Connect and its catalog of connectors, enabling AI Agents with integrations to third-party applications and APIs for enterprise-scale impact. Works with Go, Node.js, Rust, Rails, Kotlin, SQL, Redis, and Kubernetes.
—EngineeringSan Francisco, CA6d ago0
Business Systems Analyst (Business Finance, Tax, & Treasury)
This role is for a Business Systems Analyst on the WOW Finance team at Workday, focusing on technology services for financial, payroll, and HR functions. The analyst will drive process and system improvements within Workday's application, partner with business partners to understand needs, and collaborate with the Workday product team on new agents and features. Responsibilities include analyzing business problems, recommending solutions for automation and efficiency, maintaining and configuring Workday solutions, and supporting change management and testing.
—EngineeringAtlanta, GA2w ago0
Sr. SDET Engineer
Senior Software Development Engineer in Test (SDET) responsible for ensuring the reliability and quality of Workday's platform, focusing on CI/CD pipelines for authentication and security features. The role involves test automation, performance improvements, and mentoring.
—EngineeringPleasanton, CA3w ago0
Analytics Sr Software Engineer (US Federal)
This role is for an Analytics Sr Software Engineer on the Analytics Delivery Engineering team at Workday, focusing on building and maintaining a scalable, reliable, and automated services framework for Prism Analytics within Workday Federal deployments. The role involves CI/CD, monitoring, alerting, tracing, Kubernetes platform development, infrastructure automation, and ensuring security and compliance for U.S. federal government contracts.
—EngineeringMcLean, VA +16w ago0
Principal Software Development Engineer
Workday is seeking a Principal Software Development Engineer to lead the architecture, design, and evolution of their multi-cloud platform services. This role involves designing and delivering large-scale distributed systems, driving cross-organizational technical strategy, and establishing best practices for reliability, observability, and automation. The ideal candidate will have extensive experience in distributed systems, public cloud platforms, Kubernetes, and programming languages like Go and Python, with a focus on building internal platforms and infrastructure.
—EngineeringPleasanton, CA8w ago0
Senior Consultant - Payroll, FSI and PS Industries
Workday is seeking a Senior Consultant for their Financial Services and Insurance (FSI) and Professional Services (PS) Industry team. The role focuses on the successful implementation of Workday's Payroll solution, requiring expertise in Payroll software and consulting experience. Responsibilities include configuring the Workday solution, assisting clients with testing, and mentoring new consultants. The ideal candidate will have experience in Payroll software solutions and consulting, with a strong understanding of FSI or PS industry best practices.
—EngineeringChicago, IL +74 · Remote8w ago0
Software Development Engineer, DevOps - Lifecycle Platform (US Federal)
Software Development Engineer on the Lifecycle Platform team at Workday, focusing on building and deploying large-scale, fault-tolerant systems for public and private cloud environments (AWS, GCP). The role involves ensuring scalability, availability, automation, performance, and security of distributed web services, with a strong emphasis on SRE/DevOps practices and Kubernetes.
—EngineeringMcLean, VAJan 240
System Owner-Boundary Compliance Owner - US Federal
This role is a System Owner for Workday's US Federal Government contracts, focusing on compliance boundaries like FedRAMP and DoD ILs. The role involves cross-functional ownership of system health, security posture, risk mitigation, and compliance control assurance. It also requires future-proofing the system by assessing the impact of AI/ML capabilities and new product SKUs, ensuring safe and secure integration, and optimizing cloud costs. The position requires deep experience with US Government compliance frameworks and the ability to drive large-scale architectural and security roadmaps.
—EngineeringMcLean, VAJan 160