Workday

1 month ago

Senior Technical Delivery Consultant - AI Practice

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Lead the design and delivery of end-to-end AI solutions for Workday’s most complex global customers. Architect data flows, integrations, and security controls across Native AI Agents, the Workday Agent Platform, and Sana; advise C-suite and senior leaders; oversee AI workstreams, and collaborate with Product/Engineering to evolve the AI platform.

Location: Chicago

Workplace: Hybrid

Employment Type: Full time

Job Function: Consulting & Advisory

Key Responsibilities

•Architect end-to-end AI solutions across the Workday ecosystem, including data flows, integration patterns, and technical controls for Native Agents, custom agents on the Workday Agent Platform, and Sana’s capabilities
•Act as a trusted technical advisor to C-suite and senior leaders, translating AI architecture choices into business value, risk considerations, and transformation roadmaps
•Lead technical delivery for AI workstreams, overseeing configuration, integrations, data preparation, privacy and security controls, and model tuning within the Workday environment
•Partner with Product and Engineering to share real-world insights from deployments, informing evolution of the Agent Platform, AI tooling, and Sana integration capabilities
•Design and validate patterns for Workday AI interactions with third-party systems and external LLMs, ensuring data integrity and adherence to Ethical AI principles

Pay and Benefits

Salary: USD 147,400 - 221,000 annually

Equity and Bonus:Equity

Key Requirements

•5+ years of experience in enterprise software implementation, technical architecture, and technical consulting (e.g., Workday, HCM/FIN, or similar platforms), including leading complex, multi-system initiatives
•1+ years of hands-on experience with enterprise AI/ML or intelligent automation deployments (e.g., LLM-based solutions, RAG architectures, or AI-driven workflows)
•Strong background in technical architecture, with experience designing data flows, integration patterns, and security models across SaaS ecosystems and external services
•Deep familiarity with the Workday ecosystem (HCM and/or Financials), including core configuration concepts, integration frameworks, and security models, or equivalent experience with similar enterprise platforms
•Practical experience with AI concepts such as LLMs, retrieval-augmented generation (RAG), prompt design, and orchestration layers, and how these can be applied in an enterprise context
•Experience in professional services or consulting, leading technical delivery for high-stakes customer programs and collaborating with engagement managers, functional consultants, and customer IT teams
•Excellent communication skills, with the ability to explain complex AI and architectural topics to non-technical stakeholders while engaging deeply with developers, data engineers, and product teams
•Decision-making and work management skills: prioritizing technical tradeoffs, managing technical risk, and organizing complex work across multiple parallel workstreams
•Experience driving process improvements in technical delivery practices (e.g., establishing reference architectures, reusable patterns, or automation)
•Strong alignment with Workday’s Ethical AI principles, focusing on transparency, fairness, security, and data privacy

Experience:5+ yearsEnterprise softwareAISaaSProfessional services

Skills:CommunicationLeadershipCollaborationProblem-solving

Languages:English

Tech Stack:WorkdayLLMsRAGAPIsData integrationsSecurity

Company Brief

Workday

Provides cloud-based enterprise applications for human capital management, financial management, payroll, and analytics. Delivers unified HR and finance software suites to large organizations, enabling workforce planning, talent management, payroll, and financial reporting.

Industry: HR Tech

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Pleasanton, United States

Founded: 2005

Website LinkedIn

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Workday

1 month ago

Senior Technical Delivery Consultant - AI Practice

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Chicago

Workplace: Hybrid

Employment Type: Full time

Job Function: Consulting & Advisory

Key Responsibilities

•Architect end-to-end AI solutions across the Workday ecosystem, including data flows, integration patterns, and technical controls for Native Agents, custom agents on the Workday Agent Platform, and Sana’s capabilities
•Act as a trusted technical advisor to C-suite and senior leaders, translating AI architecture choices into business value, risk considerations, and transformation roadmaps
•Lead technical delivery for AI workstreams, overseeing configuration, integrations, data preparation, privacy and security controls, and model tuning within the Workday environment
•Partner with Product and Engineering to share real-world insights from deployments, informing evolution of the Agent Platform, AI tooling, and Sana integration capabilities
•Design and validate patterns for Workday AI interactions with third-party systems and external LLMs, ensuring data integrity and adherence to Ethical AI principles

Pay and Benefits

Salary: USD 147,400 - 221,000 annually

Equity and Bonus:Equity

Key Requirements

•5+ years of experience in enterprise software implementation, technical architecture, and technical consulting (e.g., Workday, HCM/FIN, or similar platforms), including leading complex, multi-system initiatives
•1+ years of hands-on experience with enterprise AI/ML or intelligent automation deployments (e.g., LLM-based solutions, RAG architectures, or AI-driven workflows)
•Strong background in technical architecture, with experience designing data flows, integration patterns, and security models across SaaS ecosystems and external services
•Deep familiarity with the Workday ecosystem (HCM and/or Financials), including core configuration concepts, integration frameworks, and security models, or equivalent experience with similar enterprise platforms
•Practical experience with AI concepts such as LLMs, retrieval-augmented generation (RAG), prompt design, and orchestration layers, and how these can be applied in an enterprise context
•Experience in professional services or consulting, leading technical delivery for high-stakes customer programs and collaborating with engagement managers, functional consultants, and customer IT teams
•Excellent communication skills, with the ability to explain complex AI and architectural topics to non-technical stakeholders while engaging deeply with developers, data engineers, and product teams
•Decision-making and work management skills: prioritizing technical tradeoffs, managing technical risk, and organizing complex work across multiple parallel workstreams
•Experience driving process improvements in technical delivery practices (e.g., establishing reference architectures, reusable patterns, or automation)
•Strong alignment with Workday’s Ethical AI principles, focusing on transparency, fairness, security, and data privacy

Experience:5+ yearsEnterprise softwareAISaaSProfessional services

Skills:CommunicationLeadershipCollaborationProblem-solving

Languages:English

Tech Stack:WorkdayLLMsRAGAPIsData integrationsSecurity

Company Brief

Workday

Industry: HR Tech

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Pleasanton, United States

Founded: 2005

Website LinkedIn