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Added 10 mins ago
OT
Sr. Systems Analyst
Open Text Corporation
Mississauga, ON · Waterloo, ON
- Other
Experience with process automation, web development, and enterprise application administration; Salesforce implementation, integration, or administration experience is considered a strong…
Added 26 mins 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 56 mins ago
LI
Systems Testing/QA Specialist
Lotus IT Solutions
Enterprise, ON
- Contract
Ref: RQ11316 Contract – 8 Months (Extension Possible) Onsite – Ontario (Enterprise Financial Services Division)
Added 1 hour ago
G
Enterprise Account Executive
Gumloop
Vancouver, BC
- Full-time
Anyone at a company can build, share, and optimize agents with any AI model and any integration. Teams can orchestrate those agents across their business, while IT keeps full control over…
Added 1 hour ago
R
Lead Automation Engineer
RBC
Toronto, ON
- Full-time
…This role will drive innovation across CNB by architecting enterprise-scale automation and AI integration initiatives, establishing best practices, and elevating the technical maturity of…
Added 2 hours ago
H
AML Product Owner
Hays
Toronto, ON
- $55 CAD / hour
- Contract
Systems & Integration: Work across APIs, middleware, ETL pipelines, CRM platforms such as Salesforce, and data warehouse environments to support system enhancements and enterprise…
Added 2 hours ago
AU
Manager, Finance Data Governance, Reporting and Systems
Athabasca University
Athabasca, AB
- $99,567.77 to $142,326.49 USD / year
- Full-time
Experience with financial planning and reporting systems, enterprise reporting tools, and system integration is required.
Added 2 hours ago
AI
Fullstack Technical Lead – Commercial Lending & Asset Finance
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
We are seeking an experienced Fullstack Technical Lead to drive hands-on engineering, technical design, and day-to-day delivery of enterprise Commercial Lending and Asset Finance platforms.
Added 2 hours ago
KA
Senior Databricks Engineer
KData AI
Toronto, ON
- Full-time
Software Engineering Rigor: Strong background in enterprise-level version control workflows (Git), automated unit/integration testing (TDD), modular software design, and automated CI/CD…
Added 2 hours ago
IG
Principal Platform Engineer
Insight Global
Vancouver, BC
- Full-time
Insight Global is seeking a Principal Platform Engineer for a global retailer to take technical ownership of and scale an enterprise AI platform within GCP.
Added 2 hours ago
RB
Lead Automation Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
…This role will drive innovation across CNB by architecting enterprise-scale automation and AI integration initiatives, establishing best practices, and elevating the technical maturity of…
Added 2 hours ago
OA
Product Software Developer
OpenRoad Auto
Richmond, BC
- Full-time
Develop secure APIs and integration with DMS, CRM, inventory, parts & service, accounting, OEM, and other automotive systems.
Added 2 hours ago
S
Software Engineering LMTS
Salesforce
Vancouver, BC · Canada - Vancouver
- Full-time
Develop robust backend services, APIs, and event-driven workflows that perform reliably at enterprise scale in a multi-tenant environment.
Added 2 hours ago
TR
Software Engineer
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
Added 2 hours ago
AA
Spécialiste en Architecture PDP / PDP Architecture Specialist
Airbus Aircraft
Montreal, QC
- Full-time
Compréhension holistique des phases de développement produit (conception, intégration, essais, industrialisation);
Added 2 hours ago
M
Lead Full Stack Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Front-end development: React, micro-frontends, enterprise component or design libraries, CSS, Tailwind, SCSS, and React state management and data fetching.
Added 3 hours ago
PE
Software Developer
PRI Engineering
Mississauga, ON
- Full-time
We are hiring a Software Developer to join that effort, working under our Lead Full-Stack Developer. You will take applications from scope to production: designing data models, building…
Added 3 hours ago
M
Lead Full Stack Engineer
Manulife
Waterloo, ON
- Full-time
Front-end development: React, micro-frontends, enterprise component or design libraries, CSS, Tailwind, SCSS, and React state management and data fetching.
Added 3 hours ago
B
Operational Readiness Manager
BGIS
Markham, ON
- Full-time
Added 3 hours ago
I
Lead Consultant - JD Edwards
Infosys
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
Exposure to AIS, BSSV, and integration frameworks
Added 3 hours ago
I
Technology Analyst - GenAI
Infosys
Mississauga, ON
- Full-time
Familiarity with front-end integration (React, Angular, TypeScript) and GraphQL APIs.
Added 3 hours ago
I
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
- Full-time
Familiarity with front-end integration (React, Angular, TypeScript) and GraphQL APIs.
Added 3 hours ago
PE
Software Developer
PRI Engineering
Calgary, AB
- Full-time
We are hiring a Software Developer to join that effort, working under our Lead Full-Stack Developer. You will take applications from scope to production: designing data models, building…
Added 3 hours ago
PE
Junior Software Developer
PRI Engineering
Mississauga, ON
- Full-time
…They run on our own Azure platform and integrate with our core enterprise…
Added 3 hours ago
PE
Junior Software Developer
PRI Engineering
Calgary, AB
- Full-time
…They run on our own Azure platform and integrate with our core enterprise…

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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