Team Lead, AI Engineering

The Citco Group Limited; Halifax; On-site; CAD 90,000 - 120,000; Full time

Job summary

The Citco Group Limited is seeking an AI Engineer to join the CDI Quality Model team. You will work on cloud-native, AI-enabled applications for the financial services industry, collaborating with Platform and QA engineers to ensure secure, reliable solutions.

As part of a cross-functional team, you will contribute to AI-assisted development, maintain production readiness, and uphold human ownership of quality within guardrails. Prior experience with AI tooling is beneficial.

Job description

About Citco

Citco is a global leader in fund services, corporate governance and related asset services with staff across 80 offices worldwide. With more than $1 trillion in assets under administration, we deliver end-to-end solutions and exceptional service to meet our clients’ needs.

For more information about Citco, please visit www.citco.com

About the Team & Business Line

Proprietary software solutions and innovation are at the core of what differentiates Citco in the alternative investment space. Through our network of global development centres, Citco invests heavily in technology development, security, and infrastructure to ensure our clients continue to receive award-winning products that underpin our commitment to service excellence.

As a core member of our technology team, you will work with dedicated professionals to build and support secure, cloud-native and AI-enabled applications for the financial services industry. Our AI Engineering teams use modern software engineering practices, AI-assisted development, and cross-functional collaboration to deliver reliable solutions while maintaining clear human ownership of quality and to ensure our clients maintain access to their critical information assets while keeping Citco ahead of industry trends.

Our Quality Model & Ownership

This role aligns with the Developer profile within CDI Quality Model. Quality is built in, not tested in.

• The Platform Team defines requirements, acceptance criteria, service expectations and business risk.
• Quality Engineers define the verification strategy, quality gates, test harnesses and observability.
• AI agents accelerate implementation and testing within approved guardrails.
• The AI Engineer remains accountable for technical correctness, human review of AI-generated output, meaningful tests, secure implementation and production readiness. AI-generated work never self-approves.