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Added 12 mins ago
Hardware Electronics Engineering
Daanaa
Vancouver, BC
Full-time
We are growing here at Daanaa and are looking for an Hardware Electronics Engineer to support the design, development, testing, and validation of our next-generation power electronics and…
Added 42 mins ago
Project Manager, Tailings, Water and Environment
AtkinsRéalis
Vancouver, BC
Full-time
…and stakeholders, you will be responsible for driving project performance, managing scope, schedule, cost, quality, and risk, and fostering strong client relationships. This is an excellent…
Added 42 mins ago
Salesforce Platform Engineer
RBC
Toronto, ON
Full-time
We are seeking an experienced Salesforce Platform Engineer to support the design, development, and enhancement of our commercial lending platform built on nCino. You will work closely with…
Added 42 mins ago
Principal AI Engineer
RBC
Calgary, AB
Full-time
We are looking for a Principle AI Engineer to drive the development of Data engineering solutions on RBC’s Enterprise Data and AI Hybrid Multi-cloud Platforms, that meet the strategic data…
Added 42 mins ago
Software Developer, Metadata
RBC
Calgary, AB
Full-time
…management and the financial services industry. As a Software Engineer, you’ll be responsible for architecting, building, and maintaining secure, scalable backend services for the critical…
Added 42 mins ago
Associate Director - Lead Software Developer
RBC
Toronto, ON
Full-time
We are looking for a highly motivated, top-notch software engineer who is a great team player constantly thinking about quality, maintainability, robustness, and simplicity in all generated…
Added 42 mins ago
Senior ML/AI Engineer
Canadian Tire Corporation
Toronto, ON
Full-time
Performance incentives, Continuing Education Programs
Added 57 mins ago
Early Careers Engineer I (Mechanical Engineering)
Framatome North America
Pickering, ON
Full-time
Salary: $89,000-95,000 (CAD), and may also include annual incentives and performance bonuses. The base salary range is a guideline. Individual total compensation will vary based on factors…
Added 1 hour ago
Senior Full-Stack Developer
St. Joseph Communications
Toronto, ON
$100,000 to $120,000 CAD / year
Ramp up on and eventually contribute to the technical implementation of our ad stack, including Header Bidding and Google Ad Manager, working closely with our AdOps engineer.
Added 1 hour ago
Project Manager, Tailings, Water and Environment
AtkinsRéalis
Vancouver, BC
Full-time
…and stakeholders, you will be responsible for driving project performance, managing scope, schedule, cost, quality, and risk, and fostering strong client relationships. This is an excellent…
Added 1 hour ago
Project Manager, Tailings, Water and Environment
AtkinsRéalis
Vancouver, BC
Full-time
…and stakeholders, you will be responsible for driving project performance, managing scope, schedule, cost, quality, and risk, and fostering strong client relationships. This is an excellent…
Added 1 hour ago
Senior Embedded Software Designer
Kepler Communications Inc.
Toronto, ON
Full-time
We're on the hunt for a top-tier Embedded Software Engineer. Your focus will be on software development and maintenance required for both space and ground-based assets for a growing fleet…
Added 1 hour ago
Power Market Sector Lead, Canada
HDR
Calgary, AB
Full-time
Act as Senior Project Manager or Senior Engineer for power related projects (seller-doer).
Added 1 hour ago
IN26-06 Senior Mine Engineer
CANADIAN ROYALTIES INC.
Salluit, QC
Reporting to the Chief Engineer, the Senior Mine Engineer is responsible for :
Added 1 hour ago
Manager, Software Engineering
AltaML
Toronto, ON
Full-time
We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't.
Added 1 hour ago
Signal Processing Engineer (Acoustic)
Open People Network (OPN)
Toronto, ON · Greater Toronto Area, Canada
Full-time
Develop robust performance in hostile acoustic environments, including very cold air.
Added 1 hour ago
RF Systems Engineer
Open People Network (OPN)
Toronto, ON · Greater Toronto Area, Canada
Full-time
Build robust performance in dense RF environments: urban clutter, industrial sites, and event settings where thousands of benign emitters compete with the signal you care about
Added 1 hour ago
Project Engineer
Deep Sky
AB · Alberta, Canada
Full-time
As a Project Engineer at Deep Sky, you will contribute to the planning, design, and execution of our Direct Air Capture (DAC) projects, supporting efforts from early design through…
Added 1 hour ago
Senior Data Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON · CA ON Toronto
$103,000 to $153,000 CAD / year
Full-time
…financial future for the healthcare community. As a Senior Data Engineer, you will design and build the data foundations (spanning structured and unstructured data on AWS) that turn raw…
Added 1 hour ago
Senior Data Solutions Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON · CA ON Toronto
$103,000 to $153,000 CAD / year
Full-time
…transactions, valuations, and market data. As a Senior Data Solution Engineer, reporting to the Senior Manager, Investment Data Operations, you will own outcomes from first detection…
Added 1 hour ago
Développeur(-euse) principal(e) de logiciels (contenu) /Principal Software Development Engineer
Expedia Group
Montreal, QC · Canada - Quebec - Montreal
Full-time
Added 1 hour ago
Staff Software Engineer - Capital One Travel Tech - Full-stack
Capital One
Toronto, ON
Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Staff Software Engineer - Capital One Travel Tech - Full-stack
Added 1 hour ago
Senior Associate, Recruiting (12-Month Contract)
Capital One
Toronto, ON
Full-time
We balance high-performance with investment in your long-term success, ensuring you have the support you need to do your best work. Here, you’ll take full accountability for your path,…
Added 2 hours ago
Senior AI Forward Deployment Engineer
Norton Rose Fulbright
Toronto, ON
Full-time
We are seeking a Senior AI Forward Deployment Engineer to join the Artificial Intelligence team within Norton Rose Fulbright Canada. This role will design, build, deploy, and optimize…
Added 2 hours ago
Senior Data Platform Engineer
Norton Rose Fulbright
Toronto, ON · Calgary, AB
Full-time
The Senior Data Platform Engineer will act as a technical lead for our technologies in any project or initiative, and is responsible for designing, developing, implementing, and supporting…

The Citco Group Limited

Senior AI Engineer

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

Job type: Full-time
Experience: Typically, 6-8 years of software engineering experience, including 3+ years designing and deploying AI/ML or Generative AI solutions in production.
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 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.

Responsibilities

Your Role

You will work as part of a cross-functional agile team to design, build and support secure, cloud-native and AI-enabled applications. In this senior role, you will lead the technical design and delivery of complex AI and machine-learning capabilities across services, making architecture-level decisions within your area of responsibility.

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

Participate in and contribute to all agile team activities.
Own technical specifications, solution design and implementation for complex or high-risk AI and machine-learning capabilities.
Design scalable AI architectures, including foundation-model integration, retrieval, document processing, agent workflows, model-serving patterns, evaluation, data controls, fallback strategies and human review.
Key team member in the design and implementation of intelligent document processing solutions, including document classification, information extraction, semantic search, business workflow automation and document understanding capabilities.
Evaluate candidate algorithms, models, prompts, retrieval approaches and frameworks against business needs, accuracy, operational risk and production constraints.
Define and implement model adaptation strategies including prompt optimization, retrieval tuning, supervised fine-tuning and evaluation frameworks to improve solution performance.
Lead the design of data preparation, validation, evaluation and deployment processes supporting AI-enabled solutions.
Identify data-distribution changes, model degradation, retrieval failures and other conditions that could negatively affect production performance.
Analyze model and application errors, determine underlying causes and design improvement strategies.
Set coding, testing, review, MLOps and operational patterns across Python, ReactJS, AWS, AI frameworks and CI/CD workflows.
Lead reviews of complex AI-generated code and tests, challenge weak assumptions and ensure independent validation against acceptance criteria.
Define evaluation strategies for accuracy, grounding, safety, latency, reliability, security, cost, bias and model or data drift.
Design and evolve AI evaluation harnesses, regression datasets, automated scoring, model-monitoring capabilities and production observability.
Resolve difficult production issues, lead technical incident response and drive corrective actions.
Mentor junior and mid-level engineers through design reviews, pairing and actionable feedback.
Collaborate with data scientists, data engineers, architects, Quality Engineering, security and operations teams.
Partner directly with business stakeholders to understand operational challenges and translate business needs into scalable AI solutions.
Drive improvements to architecture, developer experience, reusable libraries, automation and engineering standards.

Qualifications

About You

You must have a Bachelor's degree in Computer Science, Engineering, Data Science or equivalent practical experience.
Typically, 6-8 years of software engineering experience, including 3+ years designing and deploying AI/ML or Generative AI solutions in production.
Demonstrated delivery of complex AI, machine-learning, generative AI, natural language processing and document-intelligence systems, including solution architecture, production deployment and operational support.
Experience designing and implementing model fine-tuning, prompt optimization, retrieval tuning and model evaluation frameworks for production AI systems.
Experience building intelligent document-processing solutions involving OCR, document classification, entity extraction, semantic retrieval and workflow automation.
Strong experience with AWS and AI platforms such as Amazon Bedrock, Anthropic Claude, OpenAI, Azure OpenAI or comparable enterprise foundation-model services.
Deep understanding of distributed systems, APIs, data design, security, performance, testing, observability and CI/CD.
Strong knowledge of RAG, agents, structured outputs, model and prompt evaluation, guardrails and human-in-the-loop controls.
Experience with AI orchestration frameworks such as LangChain, LlamaIndex or comparable technologies.
Strong knowledge of machine-learning and data libraries such as scikit-learn, Pandas, NumPy, PyTorch, TensorFlow or Keras.
Experience with relational databases, NoSQL technologies, vector databases and large-scale data processing.
Practical experience with data validation, feature engineering, preprocessing, model training, deployment, monitoring and model-error analysis.
Practical experience designing AI testing approaches and harnesses for deterministic checks, qualitative evaluation, retrieval quality, hallucination risk, document extraction, agent behavior and regression detection.
Familiarity with Azure AI, Azure Machine Learning, Azure OpenAI, Google Cloud AI or another cloud provider is beneficial.
Proven ability to make sound technical trade-offs, influence direction and mentor engineers.
Clear written and verbal communication with technical and non-technical stakeholders.
Financial services or regulated-environment experience is desirable.

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.
Design repeatable evaluations for prompts, retrieval, document extraction, structured outputs and agent workflows.
Use test harnesses and observable measures to detect regressions in response quality, grounding, extraction accuracy, latency and reliability.
Maintain traceability from accepted requirements through implementation, tests and release evidence.
Define responsible patterns for AI-assisted design, implementation, testing and documentation.
Require independent human validation when the same AI workflow generates implementation and tests.
Establish measurable evaluation criteria and representative datasets before accepting AI behavior.
Ensure harnesses cover adversarial, boundary, security, tenant-isolation and degraded-dependency scenarios where relevant.
Use production feedback and observability to improve models, prompts, retrieval, controls and engineering standards.

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 the design and delivery of complex AI-powered solutions, including intelligent document processing and agentic workflows. Additionally, you will mentor engineering teams and establish robust implementation patterns for secure, cloud-native AI applications.

Requirements

Candidates must have a Bachelor's degree and 6-8 years of software engineering experience, with at least 3 years specifically in AI/ML or Generative AI. Strong proficiency in AWS, Python, and modern AI orchestration frameworks is required to succeed in this role.

Skills

Artificial Intelligence
Machine Learning
Generative AI
Python
AWS
Large Language Models
Natural Language Processing
Document Intelligence
Software Engineering
Cloud-native applications
MLOps
RAG
Agentic workflows
System architecture
Data engineering
CI/CD

Benefits

Training and education support
Flexible working arrangements

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Generative AI
Python
AWS
Amazon Bedrock
Anthropic Claude
OpenAI
LangChain
LlamaIndex
Document Intelligence
OCR
RAG
MLOps
Cloud-native
Software Engineering
Data Science
Vector Databases
CI/CD
Financial Services
Agile
System Architecture
Natural Language Processing
Semantic Search
Prompt Engineering
Model Evaluation
Distributed Systems
Python Libraries
Data Validation
Observability

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