Lead AI Sourcing Architect

Smith+Nephew

Watford

Hybrid

GBP 110,000 - 150,000

Full time

14 days+
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Benefits offered by this job

Hybrid working model
Generous annual bonus and pension Sche
Healthcare and life assurance

Job summary

Smith+Neo is seeking a senior Solution Architect to lead AI-enabled sourcing and procurement architecture in the Watford area. You will translate business needs into scalable designs and work with procurement, finance, legal, and security to ensure aligned delivery.

The role focuses on governance, trusted advisory, and technical leadership across product, engineering, and data teams in a hybrid work setup.

Qualifications

  • Bachelor's degree or higher in a relevant field.
  • Experience designing enterprise AI solutions and governance considerations.

Responsibilities

  • Lead end-to-end solution architecture for AI-enabled sourcing and procurement capabilities, including autonomous sourcing, category intelligence, negotiations, and payables.
  • Translate business challenges into scalable architecture designs, functional specs, and delivery roadmaps.
  • Define architecture patterns covering integrations, workflow orchestration, model selection, prompt design, grounding, and human oversight.
  • Partner with Procurement, Finance, Legal, Compliance, Security, and Technology teams to ensure alignment and delivery.
  • Drive AI governance, security, compliance, and responsible AI practices across procurement solutions.
  • Provide technical leadership, architecture governance, and mentorship to product, engineering, and data teams.
  • Act as a trusted advisor on procurement transformation and emerging AI opportunities.

Job description

Smith+Neo is seeking a senior Solution Architect to lead AI-enabled sourcing and procurement architecture in the Watford area. You will translate business needs into scalable designs and work with procurement, finance, legal, and security to ensure aligned delivery.

The role focuses on governance, trusted advisory, and technical leadership across product, engineering, and data teams in a hybrid work setup.

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