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Added 5 days ago
Senior Customer Engineer, Named Enterprise - Montreal, QC
Cloudflare
Montreal, QC
Added 5 days ago
AI Engineer, Platform and Runtime
HS Financial Technologies
Halifax, NS
As a Senior AI Platform and Runtime Engineer, you will build and operate HS Financial Technologies' shared AWS platform for AI applications and agents. AWS is the primary platform, while…
Added 5 days ago
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Senior Manager, Forward deployed Decision Scientist
Hays
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Proficiency in Python and SQL, including relevant statistical and machine-learning libraries.
Added 5 days ago
PC
Financial Analyst, FP&A
Powerex Corp.
Vancouver, BC
- Full-time
Assist with the preparation of senior leadership and Board reporting
Added 5 days ago
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Senior Software Developer
Intelcom
Montreal, QC · Service Centre (Montreal) Lab
- Full-time
Extensive experience in either C#, Python, Java, or other modern programming languages.
Added 5 days ago
EI
Intern, Transportation
Egis in Canada
Kingston, ON
- $20 to $30 CAD / hour
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Assisting senior staff with engineering design on a variety of detailed design and preliminary design transportation projects.
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Senior Data Scientist
National Bank of Canada
Montreal, QC
- Full-time
A career as a Senior Data scientist or Senior Data scientist in the modelling and risk strategies team at National Bank means acting as a specialist in credit risk management…
Added 5 days ago
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Manager, Business Management & Optimization
RBC
Toronto, ON
- Full-time
Hands-on experience with Python, SQL, APIs, workflow automation or low-code development platforms.
Added 5 days ago
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Senior Systems Developer
Co-operators
Calgary, AB · Guelph, ON · Regina, SK
- Full-time
As the Senior Systems Developer you will be a driving member of an integral team responsible for developing system-based solutions by formulating programs, developing and maintaining…
Added 5 days ago
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Senior Full Stack Engineer
arcadia
Toronto, ON · Greater Toronto Area, Canada
- $200,000 to $250,000 CAD / year
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An AI company focused on medical imaging and clinical research is hiring a Senior Full Stack Engineer to build software that helps bring effective cancer treatments to patients sooner.
Added 5 days ago
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Functional Testing Quality Assurance Analyst
Swoon
Toronto, ON
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QE Lead / Senior QA Automation Engineer – Python Automation
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Sr. Software Developer, Eqlipse Trading
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Toronto, ON
- Full-time
We’re looking for a Senior Software Developer to join our Eqlipse Trading team. In this role, you'll work on production trading systems used by major financial institutions across North,…
Added 5 days ago
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Senior Manager, First Party Fraud Analytics - Lending
BMO
Toronto, ON · FCP
- Full-time
We are seeking a senior analytical leader to advance BMO’s First Party Fraud (FPF) analytics capabilities. This role is accountable for executing data-driven strategies that proactively…
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Senior Manager, First Party Fraud Analytics - Onboarding
BMO
Toronto, ON · FCP
- Full-time
We are seeking a senior analytical leader to advance BMO’s First Party Fraud (FPF) analytics capabilities. This role is accountable for executing data-driven strategies that proactively…
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Senior Manager, First Party Fraud Analytics - Cards
BMO
Toronto, ON · FCP
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We are seeking a senior analytical leader to advance BMO’s First Party Fraud (FPF) analytics capabilities. This role is accountable for executing data-driven strategies that proactively…
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Senior Manager, First Party Fraud Analytics - Business Banking
BMO
Toronto, ON · FCP
- Full-time
We are seeking a senior analytical leader to advance BMO’s First Party Fraud (FPF) analytics capabilities. This role is accountable for executing data-driven strategies that proactively…
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Senior Full Stack Developer (.Net Technology Stack)
BDO
Toronto, ON
- Full-time
We are seeking a skilled Full Stack Developer with strong expertise in the Microsoft .NET technology stack for a hybrid role in downtown Toronto. The ideal candidate will have hands-on…
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Senior Software Engineer
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Toronto, ON
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The Enterprise Data Experience team is seeking a Senior Software Engineer to design, build, and enhance
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Senior Actuarial Expert
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Toronto, ON
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Our Actuarial Reserving team is currently looking for a Senior Actuarial Expert based in any of the following location: Chicago, Toronto, OR London. This is a hybrid role.
Added 5 days ago
Azure Cloud Engineer - Senior Consultant
EY
Toronto, ON
Automating repetitive tasks using scripting languages (e.g., Python, Bash) and infrastructure as code (IaC) tools (e.g., Terraform, CloudFormation).
Added 5 days ago
Senior Software Engineer in Test, Android
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Toronto, ON
Experience with scripting languages like Python, Bash/Shell, etc.
Added 5 days ago
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Toronto Internal Audit & Financial Advisory (Financial Services) Associate Director
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Toronto, ON
- Full-time
Added 5 days ago
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Senior Software Engineer
Wellington Management
Toronto, ON
- Full-time
The Enterprise Data Experience team is seeking a Senior Software Engineer to design, build, and enhance
Added 5 days ago
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Sr. Consultant, Enterprise Scheduling Engineering
CIBC
Toronto, ON
- Full-time
Leadership and Communication - Collaborate with senior leaders and technology partners across the organization to provide informed recommendations that enhance enterprise scheduling…
Added 5 days ago
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Principal Software Developer
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We are seeking an experienced Principal Software Developer responsible for the design and implementation of services for ingestion, classification and extraction of content from business…

HS Financial Technologies

AI Engineer, Platform and Runtime

Halifax, NS, Canada

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Job details

Experience: 5+ years of software engineering experience, including at least 1 year delivering LLM or agent-based applications in production.
Posting language: English
Posted: Nov 2, 2026

Original job description

HS Financial Technologies (HSFT) is a global technology and fund administration partner to alternative asset managers, supporting more than $1 trillion in assets under administration. We serve private equity, private credit, hedge funds, endowments, and others with integrated technology, specialized expertise, and scalable operations.

Our proprietary platform connects data, workflows, and operations across the investment lifecycle, delivering the automation, transparency, and insights clients need to operate efficiently and grow with confidence. Combined with deep expertise across fund accounting, middle office, investor services, regulatory reporting, tax, risk, and front-office solutions, we help clients navigate complexity at scale.

More than 2,400 professionals across 14 global offices deliver the expertise, responsiveness, and consistency that have made HSFT a trusted partner to alternative asset managers worldwide.

At HSFT, we are committed to helping employees build meaningful, long-term careers through structured development programs, leadership opportunities, and clear paths for growth. Guided by our core values of Relationships, Support, Innovation, and Expertise, we foster a collaborative environment where people are empowered to learn, contribute, and succeed.

We offer flexible working arrangements, comprehensive health and well-being benefits, and a culture that invests in our people because they are the foundation of our success.

Founded in 2008 as HedgeServ, HSFT is recognized as a leading provider of alternative asset services, earning industry recognition across technology, accounting, client service, investor services, and regulatory expertise.

Department Overview

The AI Engineering team builds secure, reliable, and reusable AI capabilities for HS Financial Technologies' business and technology platforms. We partner across engineering, security, data, and operations to move solutions into production.

We integrate AI into existing workflows with a focus on measurable outcomes, production discipline, responsible AI, security, human oversight, and evidence-based evaluation.

Role Overview

As a Senior AI Platform and Runtime Engineer, you will build and operate HS Financial Technologies' shared AWS platform for AI applications and agents. AWS is the primary platform, while experience applying comparable patterns on other enterprise clouds is valued. You will own runtime infrastructure, identity and security, model and tool access, deployment, and reliability, delivering scalable capabilities and reusable standards for engineering teams.

Key Responsibilities

Design, build, and operate secure, scalable AI and agent platforms on AWS, applying relevant patterns from other enterprise clouds.

Own platform architecture across infrastructure, AI services, identity, networking, observability, and runtime operations.

Automate infrastructure and delivery using Terraform, AWS CDK, and CI/CD tooling.

Deploy and support production LLM and agent workloads using Amazon Bedrock and related AWS services.

Build resilient distributed systems using asynchronous processing, durable state, retries, idempotency, and recovery.

Own agent-runtime reliability, including scaling, performance, observability, service-level objectives, incident response, pause-and-resume recovery, and cost optimization.

Implement identity and authorization controls, least privilege, encryption, secrets management, and auditable data and tool access.

Govern model access, quotas, provider onboarding, evaluation, and lifecycle controls.

Partner with engineering, architecture, security, product, and business teams to establish reusable standards and patterns.

Required Qualifications

5+ years of software engineering experience, including at least 1 year delivering LLM or agent-based applications in production.

Demonstrated experience in cloud, platform, site reliability, or software engineering with responsibility for production systems.

Strong enterprise-cloud experience across identity, networking, compute, storage, and event-driven architectures. Hands-on AWS experience is preferred; deep experience with another enterprise cloud and the ability to transfer those skills to AWS are also valued.

Experience with infrastructure as code, containerized workloads, and automated delivery using Terraform, AWS CDK, Docker, ECS, EKS, or comparable cloud-native technologies.

Hands-on experience building or operating production LLM, generative AI, or agent applications using model APIs, structured outputs, tool integration, retrieval, or comparable patterns.

Experience designing or operating distributed systems with asynchronous processing, state management, retries, idempotency, resilience, and recovery.

Working knowledge of observability, incident response, cost management, and enterprise security practices.

Strong analytical, troubleshooting, communication, and collaboration skills, with the ability to work across technical and business teams.

Preferred Experience

7+ years of cloud, platform or software engineering, including substantial production AWS experience and responsibility for architecture. Strong knowledge of identity, networking, compute, storage and event-driven services.

Experience building shared platforms, internal developer products, APIs, SDKs, or reusable services for multiple engineering teams.

Experience leading architecture reviews, establishing technical standards, documenting platforms, or mentoring engineers.

Experience with agentic AI platforms, multi-agent systems, Model Context Protocol, or similar tool and context integration patterns.

Familiarity with OAuth 2.0, OpenID Connect, workload identity, Microsoft Entra ID, or comparable identity platforms.

Experience with AI governance, model evaluation, safety testing, policy enforcement, or lifecycle management.

Experience in financial services or another regulated environment with strong audit, privacy, security, and access-control requirements.

Relevant cloud, security, platform, or AI certifications, or equivalent practical experience.

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More about this job

Responsibilities

You will design, build, and operate a secure, scalable AWS platform for AI applications and agents. This includes managing platform architecture, infrastructure automation, and ensuring the reliability and performance of production LLM workloads.

Requirements

The role requires at least 5 years of software engineering experience, with specific expertise in delivering LLM or agent-based applications in production. Candidates must have strong experience with enterprise cloud platforms, infrastructure as code, and distributed systems.

Skills

AWS
Terraform
AWS CDK
LLM
Generative AI
Distributed systems
Site reliability engineering
Infrastructure as code
Containerization
Identity and access management
Observability
Python
Docker
EKS
ECS
Cloud architecture

Benefits

Flexible working arrangements
Comprehensive health and well-being benefits

Visa sponsorship

Not detected in the job text

Keywords

AI Engineer
Platform Engineering
AWS
LLM
Generative AI
Terraform
AWS CDK
Infrastructure as Code
Distributed Systems
Site Reliability Engineering
Containerization
Docker
EKS
ECS
Identity Management
OAuth 2.0
OpenID Connect
Observability
Financial Technology
Agentic AI
Multi-agent systems
Model Context Protocol
Cloud-native
CI/CD
Security
API
SDK
Performance Optimization
Incident Response
Governance

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