AI Implementation Lead for Enterprise Operations

Wise

England

On-site

GBP 90,000 - 150,000

Full time

3 days ago
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Job summary

Wise is seeking an AI Implementation Senior Manager to design, build, and deploy AI agents and automation for global Customer Support and KYC operations. You’ll join the Transformation, Governance and Strategy team and report to the Head of TGS.

This is an independent, hands-on builder role focused on delivering practical AI solutions that fit Wise’s architecture and deliver measurable value. You’ll lead opportunity discovery, prototype through deployment, and work with Product, Engineering,

Qualifications

  • Experience building AI agents or automations, including designing, testing and improving prompts and agent workflows.
  • Ability to navigate a complex enterprise data landscape and assess data quality, lineage and context for AI use cases.
  • Experience using SQL, APIs and connectors to integrate AI outputs into operational workflows and data flows.

Responsibilities

  • Identify opportunities with operational teams and TGS specialists to prioritize AI opportunities.
  • Design and develop AI agents using approved platforms and custom code where needed.
  • Map data flows, connect knowledge sources and integrate outputs into existing tools.
  • Assess and improve enterprise data readiness and establish reliable data flows for AI agents.

Skills

AI implementation
Data fluency
Systems integration
Software development
AI architecture
Independent delivery
Testing & iteration
Clear communication
SQL
APIs

Tools

SQL
APIs
Connectors

Job description

Wise is seeking an AI Implementation Senior Manager to design, build, and deploy AI agents and automation for global Customer Support and KYC operations. You’ll join the Transformation, Governance and Strategy team and report to the Head of TGS.

This is an independent, hands-on builder role focused on delivering practical AI solutions that fit Wise’s architecture and deliver measurable value. You’ll lead opportunity discovery, prototype through deployment, and work with Product, Engineering,

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