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Added 1 hour ago
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Snowflake Architect
Celebal Technologies
Calgary, AB
- Full-time
We are looking for a Senior ETL developer with Snowflake experience to serve as a technical leader and trusted advisor for business/stakeholders. This role is not just about building data…
Added 2 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
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- Full-time
Integration, Data Architecture & Platform Engineering
Added 2 hours ago
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- Full-time
Integration, Data Architecture & Platform Engineering
Added 2 hours ago
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Senior Salesforce Engineer
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Added 2 hours ago
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- Full-time
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Added 2 hours ago
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Senior Salesforce Engineer
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Added 2 hours ago
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Azure Data Consultant, Senior Associate
PwC Canada
Toronto, ON
- Full-time
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial…
Added 2 hours ago
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Senior Staff Software Developer
Intuit
Toronto, ON
- Full-time
Come join Intuit's community of 'Builder Catalysts' as a Senior Staff Software Developer and help us power prosperity around the world.
Added 3 hours ago
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Head of Tax & Asset Compliance
Geotab
Toronto, ON
- Full-time
…to help customers better manage their fleets. Geotab’s open platform and Geotab Marketplace ®, offering hundreds of third-party solution options, allows both small and large businesses to…
Added 3 hours ago
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Head of Tax & Asset Compliance
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- Full-time
…to help customers better manage their fleets. Geotab’s open platform and Geotab Marketplace ®, offering hundreds of third-party solution options, allows both small and large businesses to…
Added 3 hours ago
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Senior Site Reliability Specialist (SRE) – Equity Trading Platform
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Montreal, QC
- Full-time
We’re looking for a Senior Site Reliability Engineer to join our Montréal team. You’ll deploy, support, and improve the Equity platform across the Americas, helping provide the best…
Added 5 hours ago
RD
Platform Engineer
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Vancouver, BC
- $100,000 to $120,000 CAD / year
- Contract
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Added 5 hours ago
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Manager, Business Management & Optimization
Royal Bank of Canada
Toronto, ON
- Full-time
…technology and development teams on solutions requiring additional engineering, integration or production…
Added 5 hours ago
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Associate, Corporate Development
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- Full-time
…function and work closely with RBC’s CEO, Group Executives, and senior business executives on strategic priorities. The team has led a number of high-profile initiatives including, RBC’s…
Added 6 hours ago
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Senior Finance Manager
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Kitchener, ON
- Full-time
As our Senior Finance Manager, you'll play a key role in guiding strategic decisions across multiple businesses, including our architecture and engineering consulting practice and our…
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Senior Full Stack Engineer (Rails & React)
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Lead Automation Engineer
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…best practices, and elevating the technical maturity of our engineering…
Added 7 hours ago
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Senior iOS Software Engineer
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Toronto, ON
- Full-time
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Added 7 hours ago
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Added 7 hours ago
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Senior Databricks Engineer
KData AI
Toronto, ON
- Full-time
We are seeking an experienced Senior Databricks Engineer with a deep background in distributed data systems to architect, scale, and optimize enterprise-grade lakehouse solutions. In this…
Added 7 hours ago
PC
Azure Data Consultant, Senior Associate
PwC Canada
Toronto, ON
- Full-time
…Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data…
Added 7 hours ago
IG
Principal Platform Engineer
Insight Global
Vancouver, BC
- Full-time
This is a senior individual contributor role with no direct reports, though this person will provide technical leadership and mentorship to engineering teams. The ideal candidate has…
Added 7 hours ago
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Senior Director, Technology Infrastructure Operations & Resiliency
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Toronto, ON
- Full-time
Experience designing, building, and scaling an enterprise-grade business engineering platform

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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