Senior AI Engineer

Location: Halifax, NS, Canada; Hybrid

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 design, build and support secure, cloud-native, AI-enabled applications for the financial services industry. Using modern software engineering practices, AI-assisted development, and cross-functional collaboration, you will lead the design and delivery of complex AI powered solutions that ensure clients maintain seamless access to their critical information assets while keeping Citco ahead of industry innovation.

Within the AI Engineering team, you will lead the design and delivery of document intelligence solutions that classify financial and client documents, extract structured information, and automate complex business processes. You will work directly with business stakeholders, architects and engineering teams to design scalable AI-powered solutions leveraging large language models, natural language processing, machine learning, document understanding and agentic workflows.

In this senior role, you will be expected to influence solution architecture, establish implementation patterns, mentor engineers, and drive the successful delivery of AI initiatives from concept through production.

Quality Model and 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.