AI Adoption Lead - Capital Markets

CIBC

Greater London

Hybrid

GBP 80,000 - 120,000

Full time

3 days ago
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Job summary

CIBC London seeks an AI Enablement Engineer to drive adoption of an enterprise AI platform across Capital Markets. You will partner with users to translate operational needs into AI-enabled solutions, evangelize best practices, and mentor teams to scale AI usage responsibly.

The role requires strong AI literacy, engineering skills, business acumen, and excellent communication. Flexible working is available within a collaborative office environment in London.

Qualifications

  • Proven experience supporting adoption of AI, automation, analytics, or digital platforms within a business environment.

Responsibilities

  • Partner with business users across Capital Markets to identify, prioritize, and implement high-value AI and automation use cases.
  • Help users apply CIBC’s agentic AI platform to improve workflows, reduce manual effort, and enhance business decision-making.
  • Guide teams in designing effective AI-enabled processes, including workflow automation, knowledge retrieval, research support, reporting, and operational tasks.
  • Evangelize best practices in AI usage, including prompt and context engineering, responsible AI, evaluation, governance, and human oversight.
  • Mentor and coach users across teams to improve AI fluency, confidence, and effectiveness in day-to-day work.
  • Develop playbooks, guidance materials, training content, examples, and enablement resources to support adoption at scale.
  • Facilitate workshops, office hours, and working sessions to help teams discover and implement practical AI use cases.

Skills

AI Adoption
AI Enablement
AI Platforms
Analytical Thinking
Data Science
Workflow Automation
Responsible AI
Governance
Stakeholder Management
Technical Leadership
Programming
C++
C#
Digital Transformation

Job description

CIBC London seeks an AI Enablement Engineer to drive adoption of an enterprise AI platform across Capital Markets. You will partner with users to translate operational needs into AI-enabled solutions, evangelize best practices, and mentor teams to scale AI usage responsibly.

The role requires strong AI literacy, engineering skills, business acumen, and excellent communication. Flexible working is available within a collaborative office environment in London.

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