Director, AI Enablement Engineer, Technology

We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

To learn more about CIBC, please visit CIBC.com

JOB PURPOSE 

CIBC Capital Markets Technology develops a diverse range of software and platforms to support CIBC’s trading activities, including systems for managing derivatives risk, data science and machine learning, and front-end systems used by the business.

 

We have made a substantial investment in building an agentic AI platform, and are seeking a highly capable AI Enablement Engineer to help drive adoption of this platform across the business.

 

In this role, you will work closely with users to identify opportunities to automate processes, improve productivity, and embed AI effectively into day-to-day workflows. You will act as a trusted partner to business teams, helping them translate real operational needs into practical AI-enabled solutions while promoting responsible, effective, and scalable use of AI across the organization.

 

This is a highly collaborative role for someone who combines strong AI literacy and engineering skills, business acumen, communication skills, and a passion for helping others succeed with technology. You will play a central role in evangelizing best practices, mentoring colleagues, and helping build a culture of confident and effective AI usage across Capital Markets.

 

KEY ACCOUNTABILITIES

• 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.

 

CROSS-FUNCTIONAL RELATIONSHIPS

• Partner with product, engineering, and platform teams to communicate user feedback, identify adoption barriers, and improve the overall user experience; act as a trusted advisor to business teams across Capital Markets.

 

COMPLIANCE REQUIREMENTS/RESPONSIBILITIES

• As an employee of CIBC, the incumbent must comply with all applicable CIBC and Line of Business policies, standards, guidelines and controls.  

 

AUTHORITIES/DECISION RIGHTS 

• This role has the authority to define and promote standards for effective AI workflow design, agent usage, automation patterns, and value measurement.

• This role has the authority to shape enablement priorities, training content, and adoption playbooks across Capital Markets.

 

KNOWLEDGE AND SKILLS

Above all we are looking for a top class AI Enablement Engineer with excellent interpersonal skills. We want to hear from a wide range of applicants. Although individual candidates will come with diverse backgrounds, the following specific attributes are a useful guide to the level of performance expected:

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

• Strong ability to understand business processes and identify opportunities to improve speed, quality, consistency, or scale through AI.

• Good understanding of GenAI concepts and practical enterprise usage, including prompt and context engineering, agentic workflows and tool-using agents, retrieval-augmented generation (RAG) and enterprise knowledge retrieval, and evaluation, monitoring, and responsible AI practices.

• Excellent communication and stakeholder management skills, with the ability to engage effectively with both technical and non-technical audiences.

• Demonstrated ability to coach, mentor, and enable others in adopting new technologies and ways of working.

• Strong analytical and problem-solving skills, with a focus on practical outcomes and measurable business value.

• Collaborative mindset and ability to work across multiple teams and functions.

• Experience in Capital Markets, Financial Services, or another highly regulated environment.

• Experience creating training materials, playbooks, user guides, or enablement programs.

• Familiarity with workflow automation, knowledge management, process improvement, or digital transformation initiatives.

• Exposure to enterprise AI platforms, agent frameworks, or business process automation tools.

• Understanding of governance, compliance, and risk considerations related to AI adoption in enterprise settings.

WORKING CONDITIONS

·       This role operates within a normal office environment with some scope for flexible working.

What you need to know

• CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com
• You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit

Job Location

150 Cheapside, 1st Flr,London

Employment Type

Regular

Weekly Hours

35

Skills

AI Adoption, AI Enablement, AI Platforms, Analytical Thinking, Analytics, Application Development, Business Decisions, Business Process Automation, C++ Programming Language, C Sharp (Programming Language), Data Science, Digital Transformation, Emerging Technologies, Information Technology Project Management, Infrastructure Management (IM), Process Automation, Responsible AI, Technical Leadership, Work Collaboratively, Workflow Automation