Senior AI Deployment Architect

Workday; Greater London; On-site; GBP 70,000 - 120,000; Full time

Job summary

Workday is expanding its AI Practice within Professional Services, delivering native AI agents, agent platform, and Sana deployments for global customers.

As a Senior AI Deployment Engineer, you will architect end-to-end AI solutions, lead technical workstreams, and advise C-suite stakeholders on architecture choices and transformation roadmaps. Remote-friendly and flexible work are supported.

Qualifications

• 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)
• 8+ 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
• 2+ years of hands‑on experience with enterprise AI/ML or intelligent automation deployments (e.g., LLM‑based solutions, RAG architectures, or AI‑driven workflows)

Responsibilities

• Solution Design: Architect end‑to‑end AI solutions across the Workday ecosystem, including data flows, integration patterns, and technical controls that connect Native Agents, custom agents on the Workday Agent Platform, and Sana’s knowledge and content capabilities.
• Strategic Advisory: Act as a trusted technical advisor to C‑suite and senior technical leaders, translating AI architecture choices into clear business value, risk considerations, and long‑term digital transformation roadmaps.
• Technical Leadership: Lead technical delivery for AI workstreams, providing oversight for configuration, integrations, data preparation, privacy and security controls, and model‑related tuning within the Workday environment.
• Innovation & Feedback: Partner closely with Workday Product and Engineering teams to share real‑world insights from customer deployments, informing the evolution of the Agent Platform, AI tooling, and Sana integration capabilities.
• Ecosystem Integration: Design and validate patterns for how Workday AI interacts with third‑party systems and external LLMs, ensuring data integrity, security, and adherence to Workday’s Ethical AI principles.

Skills

Enterprise software architecture

AI/ML deployments

Workday ecosystem

Communication skills

Technical leadership

Job description

Workday is expanding its AI Practice within Professional Services, delivering native AI agents, agent platform, and Sana deployments for global customers.

As a Senior AI Deployment Engineer, you will architect end-to-end AI solutions, lead technical workstreams, and advise C-suite stakeholders on architecture choices and transformation roadmaps. Remote-friendly and flexible work are supported.