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Added 9 mins ago
TS
R56790 Business Analyst III - Artificial Intelligence
TD SYNNEX Canada ULC
ON · Mississauga, Ontario
- Full-time
Build out formal adoption metrics. Dedicated capacity will allow us to establish these metrics to measure platform impact, track developer adoption, and drive data-backed decisions.
Added 9 mins ago
Senior Product Manager, Serverless Compute
Amazon
Vancouver, BC
…serverless services by delivering new capabilities and intuitive developer experiences that make it easier to build applications without becoming an expert in distributed systems. If you're…
Added 9 mins ago
OI
Systems Sr Designer
Orthosoft Inc.
Montreal, QC
- Other
…transform existing ways of working through automation, advanced analytics, and artificial intelligence. The role combines strong systems thinking, organizational influence, and technical…
Added 9 mins ago
UH
Cogito Business Intelligence Developer, Cogito Reporting
University Health Network
Toronto, ON
- Full-time
Cogito is Epic’s suite of data analytics and reporting tools. The Cogito Business Intelligence Developer work closely with other Cogito Business Intelligence (BI) Analyst and Developer,…
Added 9 mins ago
NA
Administration/Waiting List Manager - General Surgery
NHS Ayrshire & Arran
Saskatoon, SK
- Full-time
Added 9 mins ago
NS
Administration/Waiting List Manager - General Surgery
NHS Scotland
Saskatoon, SK
- Full-time
Added 9 mins ago
CI
Director of Marketing, Defence
Calian in Space & Technology
Ottawa, ON
- Full-time
Added 9 mins ago
TE
FinTech Data Engineer: Claude AI Workflow for Form ADV & FINTRX Analytics
The Essence Group
Canada
- Contract
We are seeking an expert Senior FinTech Data Engineer / AI Developer based in Canada or the United States to architect and build a repeatable, highly resilient wealth-management research…
Added 9 mins ago
EB
Director, Internal Audit (Information Technology)
EQ Bank
Toronto, ON
- Full-time
Knowledge of Data Analytics, and Artificial Intelligence practices and controls is an asset.
Added 24 mins ago
IT Business Analyst, Data & Business Intelligence - ASL Distribution (Oakville)
Fastfrate Group
Oakville, ON
…Operations, Finance, and IT teams, this role leverages data analytics, business intelligence, and technology solutions to enhance operational efficiency, strengthen financial accuracy, and…
Added 24 mins ago
Strategic Sourcing - Director, FF&E
Mohawk Medbuy Corporation (MMC)
Burlington, ON · Toronto, ON
…redevelopment) and nutrition solutions. Other services include data analytics, in-hospital logistics, warehousing, technology, procure-to-pay and accounts…
Added 24 mins ago
MN
Junior Cloud QA Specialist (SDET) - 13-month term contract (maternity leave)
March Networks
Ottawa, ON
- Contract
…looking for a Junior Test Specialist (SDET) with cloud and analytics experience to help us deliver with impeccable quality. We are looking for a person who is passionate about quality, test…
Added 24 mins ago
MM
Director Strategic Sourcing
Mohawk Medbuy Corporation
Toronto, ON · Greater Toronto Area, Canada
- $127,956 to $149,967 CAD / year
- Full-time
…FF&E will drive sourcing initiatives from market and spend analytics, leading stakeholder teams, managing professional sourcing processes, contract negotiations as well as supplier…
Added 24 mins ago
CB
Onboarding Specialist
Cubeler Business Development Platform
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
…offers SMEs no-cost access to leading, AI-powered SME insights, analytics, marketing, networking, and financing solutions. The Cubeler® Business Hub is a first-of-its-kind ecosystem…
Added 24 mins ago
II
Business Development Manager
i3 International
Richmond Hill, ON
- Full-time
…users. The company has a long history of innovation in video analytics, data management software, video matrix solutions, and POS integrations that deliver timely, actionable information. A…
Added 39 mins ago
W
Growth and Demand Marketing Manager
Waabi
Toronto, ON
- $138,000 to $198,000 USD / year
- Full-time
Added 39 mins ago
M
Summer Intern 2027 - Brand Coordinator
Manulife
Toronto, ON
- Full-time
…you'll build practical skills in brand management, marketing analytics, storytelling, stakeholder management, and strategic…
Added 39 mins ago
M
Senior Full Stack Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Added 39 mins ago
Investment Database Analyst
Connor, Clark & Lunn Financial Group Ltd.
Toronto, ON
Added 39 mins ago
IF
Senior Business Analyst, Artificial Intelligence Strategy
Intact FC
Montreal, QC
- Full-time
Added 39 mins ago
BI
Financial Analyst
Bento Inc.
Richmond Hill, ON
- $55,000 to $65,000 CAD / year
- Full-time
…responsibility for P&L management, sales and profitability analytics, management reporting, forecasting, and financial performance…
Added 39 mins ago
C
AI/ML Engineer
Conviva
Toronto, ON
- Full-time
Conviva is the experience analytics platform for AI agents, apps, and streaming. Conviva pioneered quality of experience measurement for streaming video and has supported live digital…
Added 54 mins 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 54 mins ago
S
Technical Support Engineer
Sidetrade
Remote, Canada
- Full-time
- Remote
Added 54 mins ago
Staff Consultant - Risk, Process & Controls
EY
Montreal, QC

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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