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Added 19 mins ago
AC
Sr. Product Development Engineer - Mechanical Design For Liquid Cooling
Amphenol Communications Solutions
Markham, ON
- Full-time
Position: Senior Product Development Engineer - Mechanical Design for Liquid Cooling
Added 19 mins ago
R
Senior Staff Software Engineer, Platform
Rippling
Toronto, ON
- Full-time
We're hiring a Senior Staff Engineer to help define the future of Rippling's core platform and AI infrastructure. This is a rare opportunity to work on foundational systems that sit at the…
Added 20 mins ago
M
Senior Cloud Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Are you passionate about building scalable, secure, and modern cloud solutions? We're looking for a Senior Cloud Engineer who can combine deep technical expertise with business insight to…
Added 20 mins ago
O
Senior Software Engineer - AI Oversight
OpenMined
Remote, Canada
- $126,000 to $160,000 USD / year
- Contract
- Remote
As a Senior Software Engineer, you'll work most closely with our Technical Lead Manager for AI Oversight, and you'll build core parts of this system and the products on top of it. You'll…
Added 35 mins ago
C
Software Developer
Cisco
Vancouver, BC
- Full-time
Senior Software Engineer (G10) – Job Description
Added 50 mins ago
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Lead Oracle Artificial Intelligence
Raas Infotek
ON · Ontario, Canada
- Contract
Infrastructure, identity management, and role-based security models.
Added 50 mins ago
BH
Lead Engineer - Ruby on Rails
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Canada
- Full-time
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Added 50 mins ago
Member IT Services - Senior Cloud and Infrastructure Engineer
Mohawk Medbuy Corporation (MMC)
Burlington, ON · Toronto, ON
We are currently recruiting for a Senior Cloud & Infrastructure Engineer to support our Information Technology – Cloud and Infrastructure team.
Added 1 hour ago
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Azure Data Consultant, Senior Associate
PwC
Toronto, ON
- Full-time
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing…
Added 1 hour ago
AC
IT Systems Engineer
Algo Communication Products Ltd.
Burnaby, BC
- $95,000 to $115,000 CAD / year
We are looking for an IT Systems Engineer to support our Business Technology team. Reporting to the Business Technology & AI Lead. The successful candidate will serve as our primary…
Added 1 hour ago
JT
Technical Program Manager
Jobility Talent Solutions
Toronto, ON
- Contract
Comfortable engaging in technical conversations with engineering teams on topics like infrastructure, migrations, platform services, and cloud cost/operations, without needing to be a…
Added 1 hour ago
MM
Senior Cloud and Infrastructure Engineer
Mohawk Medbuy Corporation
Toronto, ON · Greater Toronto Area, Canada
- $95,000 to $103,000 CAD / year
- Full-time
We are currently recruiting for a Senior Cloud & Infrastructure Engineer to support our Information Technology – Cloud and Infrastructure team.
Added 1 hour ago
TT
Senior Full Stack Software Engineer
True Talent Solutions Partners
Canada
- $200,000 to $275,000 USD / year
- Full-time
Work with a frontend engineer to improve the product UI and accelerate production releases.
Added 1 hour ago
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Software Engineer II
TD
Toronto, ON
- Full-time
· Provide hands-on senior technical consultancy across the SDLC for complex application, integration, API, data, infrastructure, and production issues.
Added 1 hour ago
KR
AI Delivery - Oracle Fusion AI
KTek Resourcing
Brampton, ON
- Contract
Infrastructure, identity management, and role-based security models.
Added 2 hours ago
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Project Engineer- Centre Of Excellence
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Cambridge, ON
Aecon delivers some of the most complex and impactful infrastructure projects - from transformative transportation networks to critical energy, industrial and nuclear programs. The projects…
Added 2 hours ago
AC
Intermediate Electrical Engineering Project Manager
Accenture Construct
Ottawa, ON · Greater Ottawa Metropolitan Area
- Full-time
…data centers, power grids, rail networks, factories and public infrastructure that keep communities moving - smarter, safer and more…
Added 2 hours ago
AC
Infrastructure & Capital Projects - Project Manager, COM
Accenture Construct
Ottawa, ON · Greater Ottawa Metropolitan Area
- Full-time
…data centers, power grids, rail networks, factories and public infrastructure that keep communities moving - smarter, safer and more…
Added 3 hours ago
M
Senior Full Stack Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
As a Senior Full Stack Engineer, you will help shape solutions, advance strategic initiatives, strengthen our technology footprint and champion strong engineering practices within your team.
Added 3 hours ago
Machine Builder Solution Manager
Siemens
Canada
…Drivetrain solutions, including S7-PLCSIM Advanced, DriveSim Engineer, and related engineering and simulation…
Added 3 hours ago
C
AI/ML Engineer
Conviva
Toronto, ON
- Full-time
We are looking for an AI/ML Engineer with strong machine learning fundamentals and hands-on experience in model development, training, and evaluation. In this role, you will work on…
Added 3 hours ago
F
Senior Platform Engineer
Flinks
Remote, Canada
- Full-time
- Remote
…connectivity, intelligence, and payments - giving businesses the infrastructure they need to build and deliver seamless financial experiences at…
Added 3 hours ago
TU
Software Engineer Graduate Scheme - Halifax
targetjobs UK
Halifax, NS
- Full-time
And as a Software Engineer graduate, your work will be anything but behind the scenes. You’ll help design, build and maintain the applications, platforms and digital services that millions…

HS Financial Technologies

AI Engineer, Platform and Runtime

Halifax, NS, Canada

Apply About employer

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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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