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Added 8 mins ago
Senior Python Data Scraping Engineer (Freelance)
Mindrift
Remote, Canada
Part-time · Remote
This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing,…
Added 8 mins ago
Cloud DBA
BMO
Toronto, ON · SCC
Full-time
Design, engineer, deploy, and support cloud database platforms, with a strong focus on AWS RDS, Amazon Redshift, Azure SQL Database, Azure SQL Managed Instance, and Microsoft Fabric.
Added 8 mins ago
Senior AI Full‑Stack Engineer
Manulife
Waterloo, ON
Full-time
Strong proficiency in one or more modern programming languages (e.g., Python, JavaScript/TypeScript, Go, Rust) with backend or full‑stack experience.
Added 23 mins ago
Founding Sales Engineer
Featherless AI
Remote, Canada
$150,000 to $190,000 USD / year
Full-time · Remote
We're hiring our first Sales Engineer to pair directly with our founding Account Executive in North America. You are the technical half of a two-person deal team: the AE owns the commercial…
Added 53 mins ago
Senior Software Engineer
Microsoft
Vancouver, BC
Full-time
Within the Azure Monitor team, we are looking for a Senior Software Engineer to help build and evolve the Azure Monitor backend systems. This role is ideal for someone who can own…
Added 53 mins ago
Software Development Engineer - Agent Factory
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
3+ years experience with a web development framework (Python preferred: Flask, Django, or FastAPI)
Added 53 mins ago
Team Lead, AI Engineering
The Citco Group Limited
Halifax, NS
Full-time
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,…
Added 53 mins ago
Senior AI Engineer
The Citco Group Limited
Halifax, NS
Full-time
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,…
Added 1 hour ago
Performance Engineer - Open Source
Jobgether
Canada
Full-time
Experience with one or more programming languages such as C, C++, Rust, Go, Python, Java, JavaScript, Node.js, or Dart.
Added 2 hours ago
Senior Product Security Engineer
Jobgether
Canada
Full-time
Experience with Python, Java, and/or JavaScript for security automation and tooling is an advantage.
Added 2 hours ago
Senior Quality Process Development Engineer
Semtech
Burlington, ON
Full-time
The Senior Quality Process Development Engineer will collaborate on the design, development, and validation the statistical and machine-learning systems at the core of Semtech's quality…
Added 2 hours ago
Staff Verification Engineer, Compute Subsystems
Qualcomm
Markham, ON
Full-time
Are you a creative engineer looking for challenges?
Added 2 hours ago
Machine Learning Engineer, Frameworks & Performance (New Grad to Principal level)
Qualcomm
Markham, ON
Full-time
Creation of performance-driven simulation components (using C++, Python) for analysis and design of high-performance HW/SW algorithms on future SoCs
Added 3 hours ago
Senior Consultant - GCP Data & AI Architect
Deloitte
Toronto, ON
Full-time
Proficient in SQL and Python; comfortable with Terraform for infrastructure as code.
Added 3 hours ago
Senior Consultant - GCP Agent Platform Architect
Deloitte
Toronto, ON
Full-time
Proficient in Python; comfortable with at least one of TypeScript / Java / Go for agent tools and services.
Added 3 hours ago
AI Engineer
Insight
Remote, Canada
Full-time · Remote
Strong C#/.NET skills building production APIs and services, with the ability to work in Python where the AI tooling demands it.
Added 3 hours ago
Data Engineer Sr
Insight
Toronto, ON
Full-time
This role is hybrid, with the onsite locations in Montreal, QC, Canada or Toronto, ON, Canada.
Added 3 hours ago
Observability Engineer
Apptoza Inc.
Toronto, ON
Contract
Role: Observability Engineer (KUBERNETES & CONTAINERS, GITOPS & AUTOMATION, QUERY LANGUAGES, CLOUD & INFRASTRUCTURE)
Added 3 hours ago
Machine Learning Engineer - Early Career (Canada)
Jobright.ai
Canada
Full-time
…job search. They are seeking an Early Career Machine Learning Engineer to design, build, and maintain scalable infrastructure for AI agents, as well as optimize data processing and develop…
Added 3 hours ago
Machine Learning Engineer - Early Career (Canada)
Jobright.ai
Canada
Full-time
…job search. They are seeking an Early Career Machine Learning Engineer to design, build, and maintain scalable infrastructure for AI agents, as well as optimize data processing and develop…
Added 3 hours ago
AI Engineer, Agent Product (Full-time/Part-time) (Canada)
Jobright.ai
Canada
Full-time · Part-time
Jobright is a rapidly growing AI job search platform in the U.S. that aims to simplify the job search process. The AI Engineer will be responsible for designing, building, and deploying AI…
Added 3 hours ago
AI Engineer, Mid Level
Jobright.ai
Canada
Full-time
…and helps users find better job outcomes. The Mid-Level AI Engineer designs, builds, evaluates, deploys, and operates machine learning and generative AI capabilities, including…
Added 3 hours ago
AI Engineer, Entry Level (Canada)
Jobright.ai
Canada
Full-time
Strong proficiency in Python and experience working with LLM APIs (such as OpenAI, Anthropic, or open-source models via Hugging Face)
Added 3 hours ago
Software Development Engineer - Agent Factory
Workday
Vancouver, BC
Full-time
3+ years experience with a web development framework (Python preferred: Flask, Django, or FastAPI)
Added 4 hours ago
Forward Deployed Engineer
Pepper
Remote, Canada
$80,000 to $140,000 USD / year
Full-time · Remote
As a Forward Deployed Engineer, you will lead technical integration of Pepper's product with distributor's system of record to ensure successful project implementation, delivery, and…

The Citco Group Limited

Team Lead, AI Engineering

5151 George Street, Halifax, NS, B3J 1M5, Canada

Job type: Full-time
Experience: Typically 8+ years of software engineering experience, including strong Python, cloud and production-delivery experience.
Posting language: English
Posted: Sep 25, 2026

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Original 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.

Responsibilities

Your Role

You will lead a cross-functional AI engineering team responsible for designing, building and supporting secure, cloud-native and AI-enabled applications for financial services.

You will establish the technical direction, engineering standards and delivery practices for the Canadian AI Engineering team while partnering closely with business leaders to expand Citco's Document Intelligence platform and AI-enabled operational capabilities.

Team Leadership

Build and grow a high-performing AI Engineering team through hiring, coaching, mentoring and capability development.

Technical Leadership

You will guide the delivery of cloud-native, machine-learning and generative AI solutions, ensuring architecture decisions, implementation patterns and engineering standards are fit for production.

Business Leadership

Partner with business stakeholders and functional leaders to identify automation opportunities, define AI product roadmaps and prioritize initiatives with measurable business value.

Document Intelligence

Define the technical roadmap for document intelligence solutions supporting document classification, information extraction, workflow automation, retrieval-augmented generation and AI-assisted operational processes.

AI Governance

Establish governance processes for model evaluation, fine-tuning, responsible AI controls, model monitoring and production risk management.

Innovation

Evaluate emerging AI technologies and define standards for adoption across foundation models, agents, retrieval systems and intelligent document-processing platforms.

Delivery and Quality Ownership

You will be accountable for team execution and technical quality, balancing delivery speed with sustainable engineering practices, clear human review and responsible use of AI agents.

Mentoring and Collaboration

You will mentor engineers, strengthen implementation practices and ensure AI-assisted delivery remains secure, observable, testable and aligned with business intent.

Participate in and contribute to all agile team activities.
Lead sprint execution, capacity planning, work allocation, risk management and delivery commitments for the AI engineering team.
Set technical direction with architects and senior engineers across AI services, machine learning, RAG, document processing, agent workflows, data pipelines, application integration and MLOps.
Ensure appropriate selection of foundation models, machine-learning approaches, AI services, frameworks and data-processing patterns based on business and operational requirements.
Maintain developer ownership of technical correctness, including human review of AI-generated code, tests, designs and documentation.
Establish an engineering culture focused on clear specifications, meaningful tests, data quality, quality gates, observability and continuous improvement.
Coach engineers, provide regular feedback, support career development and address capability gaps.
Partner with Platform and Quality Engineering leaders on requirements readiness, risk-based quality investment, acceptance evidence and release planning.
Oversee AI testing and evaluation strategy, including harness architecture, representative datasets, model and prompt evaluation, retrieval validation, regression controls, drift detection and production monitoring.
Ensure machine-learning and AI solutions have appropriate data validation, fallback behavior, human-review controls and operational support models.
Manage dependencies, escalate blockers early and communicate delivery status and trade-offs to stakeholders.
Lead technical incident coordination, post-mortems, corrective actions and improvements to resilience and support readiness.
Evaluate emerging AI tools, models, frameworks and practices, introducing them only with appropriate security, governance, cost and quality controls.
Promote collaboration among AI engineers, data scientists, data engineers, architects, Quality Engineering, security and operations teams.

Qualifications

About You

You must have a Bachelor's degree in Computer Science, Engineering, Data Science or equivalent practical experience.
Typically 8+ years of software engineering experience, including strong Python, cloud and production-delivery experience.
Demonstrated leadership of engineering teams delivering AI, machine learning, natural language processing, intelligent document-processing and cloud-native solutions in production environments.
Strong cloud experience, preferably AWS, with practical experience building and deploying AI-enabled applications. Experience with Amazon Bedrock, Anthropic APIs, Azure OpenAI, or comparable foundation-model platforms is relevant.Strong understanding of AI solution architecture, machine-learning lifecycle management, data quality, software quality, security, DevOps, observability and operational risk.
Knowledge of AI and machine-learning frameworks such as LangChain, LlamaIndex, scikit-learn, PyTorch, TensorFlow or comparable technologies.
Understanding of relational, NoSQL and vector-database technologies.
Experience leading agile delivery, managing priorities and dependencies, mentoring engineers and communicating with senior stakeholders.
Strong knowledge of AI testing approaches and harnesses, including model and prompt evaluation, RAG validation, document-extraction validation, agent testing, safety controls, regression datasets, drift detection and monitoring.
Experience with Azure AI, Azure Machine Learning, Azure OpenAI, Google Cloud AI or another cloud provider is beneficial.
Sound judgment in balancing business outcomes, engineering quality, risk, cost and team sustainability.
Demonstrated experience hiring, coaching, mentoring and managing engineering teams while establishing strong delivery, quality and accountability standards.
Financial services or regulated-environment experience is highly desirable.
Experience defining AI strategies involving large language models, natural language processing, document intelligence, model fine-tuning, retrieval systems and AI governance.
Experience working directly with business stakeholders to identify opportunities for AI adoption, process automation and operational transformation.

AI-Native Engineering Expectations

Use AI coding assistants to accelerate learning, implementation, testing and documentation within team guardrails.
Review generated code, tests, designs and documentation for correctness, security, performance and intent.
Set expectations for responsible AI-assisted engineering and ensure human approval remains mandatory for production work.
Ensure teams have fit-for-purpose harnesses, evaluation criteria, datasets, observability and escalation paths.
Promote trust-but-verify practices for AI-generated implementation, tests and recommendations.
Use quality and delivery evidence to improve standards, capability and investment decisions.
Partner across the Four-Pillar model to preserve clear accountability while increasing delivery velocity.

Our Benefits

Your well being is of paramount importance to us, and central to our success. We provide a range of benefits, training and education support, and flexible working arrangements to help you achieve success in your career while balancing personal needs. Ask us about specific benefits in your location.

We embrace diversity, prioritizing the hiring of people from diverse backgrounds. Our inclusive culture is a source of pride and strength, fostering innovation and mutual respect.

Citco welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection.

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More about this job

Responsibilities

You will lead a cross-functional AI engineering team to design, build, and support secure, cloud-native, and AI-enabled applications for the financial services industry. This role involves establishing technical direction, engineering standards, and delivery practices while partnering with business leaders to expand AI-enabled operational capabilities.

Requirements

Candidates must have a Bachelor's degree in Computer Science, Engineering, or Data Science and typically 8+ years of software engineering experience. Strong proficiency in Python, cloud platforms like AWS, and experience leading teams in delivering AI and machine learning solutions in production environments are required.

Skills

Python
Cloud computing
Machine learning
Generative AI
Artificial intelligence
Software engineering
Team leadership
Document intelligence
RAG
MLOps
Cloud-native architecture
Agile methodology
Data engineering
System architecture
Stakeholder management
Mentoring

Benefits

Training and education support
Flexible working arrangements

Visa sponsorship

Not detected in the job text

Keywords

AI Engineering
Python
AWS
Cloud-native
Machine Learning
Generative AI
RAG
Document Intelligence
MLOps
LangChain
LlamaIndex
PyTorch
TensorFlow
Agile
Software Engineering
Data Science
Financial Services
Vector Databases
NoSQL
Automation
AI Governance
Model Fine-tuning
DevOps
Observability
System Architecture
Team Leadership
Mentoring
Stakeholder Management
Production Readiness
Data Quality

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