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Added 1 hour ago
NB
Senior Analyst Enterprise Architecture Tools
National Bank of Canada
Montreal, QC
- Full-time
A career as a Senior Analyst, Enterprise Architecture Tools within the Enterprise Architecture team at National Bank means contributing to the operation and evolution of a strategic…
Added 8 hours ago
RB
Manager, Business Management & Optimization
Royal Bank of Canada
Toronto, ON
- Full-time
Hands-on experience with Python, SQL, APIs, workflow automation or low-code development platforms.
Added 8 hours ago
UC
Senior AI Developer
UniSysTech Consulting
Toronto, ON · Greater Toronto and Hamilton Area, ON
- Other
We are seeking an experienced Senior AI Developer to lead the design, development, and deployment of enterprise-grade Artificial Intelligence and Machine Learning solutions. In this role,…
Added 9 hours ago
LI
Systems Testing/QA Specialist
Lotus IT Solutions
Enterprise, ON
- Contract
The Ministry of Public and Business Service Delivery and Procurement is seeking a Senior Systems Testing/QA Specialist to join the Enterprise Financial Services Division on a full-time…
Added 11 hours ago
E
Systems Designer
Epiroc
Pitt Meadows, BC
- Full-time
…service and other aftermarket support as well as solutions for automation, digitalization and electrification. Our global headquarters is based in Stockholm, Sweden and we have around…
Added 11 hours ago
C
Staff Program Manager, Marketing Enablement
Clio
Calgary, AB · Vancouver, BC · Toronto, ON
- Full-time
Hands-on technical depth: You've built things. Comfort with APIs, prompt engineering, and automation tools (Zapier, Make, or similar) is table stakes. Reading and writing code (Python,…
Added 11 hours ago
M
Lead Full Stack Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
…decisions where no established precedent exists, and influence senior technology and business leaders. Success requires recognized technical depth, sound judgement in ambiguous situations,…
Added 11 hours ago
M
Lead Full Stack Engineer
Manulife
Waterloo, ON
- Full-time
…decisions where no established precedent exists, and influence senior technology and business leaders. Success requires recognized technical depth, sound judgement in ambiguous situations,…
Added 11 hours ago
AI
Quality Engineer (QE) / SDET – AI Chatbot Validation
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Design, develop, and maintain scalable test automation frameworks using Java, Python, or Groovy.
Added 12 hours ago
IG
Quality Engineer – AI Chatbot Validation
IMCS Group
ON · Ontario, Canada
- Contract
Design, develop, and maintain scalable test automation frameworks using Java, Python, or Groovy.
Added 12 hours ago
BC
Database Administrator (Senior Systems Analyst)
British Columbia Institute of Technology
Burnaby, BC
- $84,685 to $112,200 CAD / year
- Temporary
BCIT’s Information Technology Services department is seeking a temporary, full-time (1.0 FTE) Database Administrator (Senior Systems Analyst). As a member of our Solution Delivery team, the…
Added 12 hours ago
TI
Quality Engineer (QE) / SDET – AI Chatbot Validation
Tekgence Inc
Brampton, ON
- Contract
Design, develop, and maintain scalable test automation frameworks using Java, Python, or Groovy.
Added 13 hours ago
A
Senior Systems Engineer
Aviso
Vancouver, BC
- $100,000 to $120,000 CAD / year
- Full-time
Reporting to the Director, Infrastructure Operations, the Senior Systems Engineer is responsible for independently operating, engineering, and improving Aviso's hybrid infrastructure…
Added 13 hours ago
AW
Senior Systems Engineer
Aviso Wealth
Remote, Canada
- $100,000 to $120,000 CAD / year
- Full-time
- Remote
Reporting to the Director, Infrastructure Operations, the Senior Systems Engineer is responsible for independently operating, engineering, and improving Aviso’s hybrid infrastructure…
Added 13 hours ago
K
Senior Data Integration Developer, Fabric
KPMG
Toronto, ON · ON · Vaughan, Ontario
- Full-time
The Senior Data Integration Developer (Fabric) designs, builds, and supports secure, scalable data integration solutions for KPMG Canada’s internal clients through the Enterprise Analytics…
Added 15 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 15 hours ago
F
Senior Platform Engineer
Flinks
Remote, Canada
- Full-time
- Remote
Build and own our internal developer platform: a Backstage-based portal and service catalog with software templates that scaffold a production-ready service (repo, pipeline, infrastructure,…
Added 15 hours ago
TR
Staff Software Engineer - II (KeyCite)
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
Assess emerging technologies and architectural approaches based on measurable improvements to scalability, reliability, developer productivity and customer outcomes.
Added 15 hours ago
Senior Customer Engineer, Named Enterprise - Montreal, QC
Cloudflare
Montreal, QC
AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses,…
Added 15 hours 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 16 hours ago
R
Manager, Business Management & Optimization
RBC
Toronto, ON
- Full-time
Hands-on experience with Python, SQL, APIs, workflow automation or low-code development platforms.

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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