Find work in Canada.

591,788 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 12 mins ago
MC
SysOps Software Architect (36136)
Myticas Consulting
Ottawa, ON
- Full-time
Lead the architecture and technical direction of System Operations (SysOps) software for a mission-critical satellite communications program. Translate operational, security, and system…
Added 12 mins ago
MC
Principal Embedded Software Firmware Engineer (35837)
Myticas Consulting
Ottawa, ON
- Contract
Lead technical decisions involving cost, performance, power, and time-to-market trade-offs; document rationale and present options to engineering leadership and stakeholders.
Added 12 mins ago
BP
Senior Java Developer
BNP Paribas
Montreal, QC
- Full-time
You will apply deep Java expertise, make sound technical decisions, mentor engineers, and help establish strong engineering standards for a growing team.
Added 12 mins ago
FC
Principal Process Engineer - Power Projects
Fluor Corporation
Calgary, AB
- Full-time
The Principal Process Engineer – Power Projects provides process and thermal-cycle engineering leadership for gas-turbine-based simple-cycle, combined-cycle, and cogeneration projects,…
Added 12 mins ago
HA
Intern Bachelors Embedded Eng
Honeywell Aerospace
Ottawa, ON · Kanata, ON
- Full-time
The successful candidate will join the Honeywell Aerospace SATCOM Software Development Team as an Embedded Engineer Intern. In this role, the primary responsibility will be to develop…
Added 12 mins ago
HA
Intern Bachelors Systems Eng
Honeywell Aerospace
Ottawa, ON · Kanata, ON
- Full-time
The successful candidate will join the Honeywell Aerospace SATCOM System Integration and Test Team as a Systems Engineer Intern. In this role, the primary responsibility will be to…
Added 12 mins ago
HA
Intern Bachelors AI
Honeywell Aerospace
Ottawa, ON · Kanata, ON
- Full-time
The successful candidate will join the Honeywell Aerospace SATCOM Software Development Team as an Artificial Intelligence (A.I.) Engineer Intern. In this role, the primary responsibility…
Added 12 mins ago
RS
Estimator and Project Manager
RWC Systems
Calgary, AB
- Full-time
Recommend value-engineering options and alternative products that meet project requirements while supporting competitiveness and margin.
Added 27 mins ago
A
Information Technology - Senior/Lead, Data Visualization Engineer, Product Business Technology
Aritzia
Vancouver, BC
- Full-time
Aritzia is growing, and our Product Business Technology team is growing with it. This is a unique opportunity to join the Product Business Technology department, where you will be part of…
Added 27 mins ago
V
AI Onboarding Specialist
Vendasta
Saskatoon, SK
- Full-time
Lead go-live and train client teams to run it themselves
Added 42 mins ago
Director of Firmware Engineering
Celero Communications, Inc.
Ottawa, ON
Celero is seeking an experienced, hands-on, and strategic Director of Firmware Engineering to lead the architecture, development, and validation of embedded firmware for our next-generation…
Added 42 mins ago
AW
Senior Quality Assurance Automation Engineer
Agilus Work Solutions
Toronto, ON
- $55 to $60 CAD / hour
- Contract
🚨 We're Hiring: Senior QA Automation Analyst / QE Lead
Added 42 mins ago
BC
Intermediate Electrical Engineer
BBA Consultants
Thunder Bay, ON
- Full-time
As a member of the BBA Central Canada Electrical and Power Systems Engineering team, you’ll be responsible for technical quality, project scope execution and regional collaboration with…
Added 42 mins ago
BC
Intermediate Electrical Designer
BBA Consultants
Thunder Bay, ON
- Full-time
As a member of the BBA Central Canada Electrical and Power Systems Engineering team, you’ll be responsible for technical quality, project scope execution and regional collaboration with…
Added 42 mins ago
D
Lead AI.Net Developer
Digitive
Canada
- Contract
We are looking for a highly hands-on, execution-focused Lead AI Developer to serve as the ground-level technical partner to our Lead AI Engineer. While the Lead AI Engineer establishes the…
Added 42 mins ago
RC
ServiceNow Architect
RSM Canada
Toronto, ON
- Full-time
Lead the architecture and technical design of complex ServiceNow implementations, enhancements, integrations, and transformation initiatives.
Added 42 mins ago
KB
Procurement Coordinator
KOLER BUILDERS
ON · Ontario, Canada
- Full-time
…and ICI space as well as retrofit to existing structures. Our team of experts provides comprehensive and cost-effective services for our clients, from the pre-development phase through to…
Added 42 mins ago
D
Technical Delivery Manager
Deloitte
Toronto, ON
- Full-time
Degree in Computer Science, Software Engineering, Mathematics, Science, Business, or related discipline.
Added 42 mins ago
TL
Senior Project Manager
Tek Leaders Inc
Toronto, ON
- Contract
Lead cross-functional engineering, QA, and product teams, removing technical blockers and fostering high performance.
Added 42 mins ago
FC
Principal Designer - Senior Bulk Material Handling
Fluor Corporation
Vancouver, BC
- Full-time
Fluor is one of Canada's top employers and is recognized globally as a leader in the Engineering, Procurement, Construction, Fabrication, and Maintenance industry. Our focus on innovation…
Added 42 mins ago
BC
Intermediate Electrical Engineer
BBA Consultants
Sudbury, ON
- Full-time
As a member of the BBA Central Canada Electrical and Power Systems Engineering team, you’ll be responsible for technical quality, project scope execution and regional collaboration with…
Added 42 mins ago
BC
Intermediate Electrical Designer
BBA Consultants
Sudbury, ON
- Full-time
As a member of the BBA Central Canada Electrical and Power Systems Engineering team, you’ll be responsible for technical quality, project scope execution and regional collaboration with…
Added 42 mins ago
FC
Cost Control Manager
FCC Construcción
Toronto, ON
- Full-time
At FCC Canada, you're more than an employee, you're a valued member of a team building infrastructure that connects communities and creates a lasting impact. We foster a collaborative…
Added 42 mins ago
BH
Specialist Engineer (Grid Telecom Operations)
BC Hydro
BC · Fraser Valley, BC
- Full-time
Mentor team with laboratory testing, collaborate with engineering teams and vendors, assess operational risks, and develop restoration strategies to return systems to stable operation.
Added 42 mins ago
A
Analyste/ingénieur principal ou principale en cybersécurité OT
Alithya
Pickering, ON
- Full-time
Lead cyber security Governance Risk and Compliance (GRC) activities, including:

Scotiabank

Senior AI Platform Engineer

Toronto, ON, M5H 1H1, Canada

Apply About employer

Applications open in a new tab.

Job details

Experience: 5+ years of professional software engineering experience, including significant experience designing and delivering production platforms, APIs, or distributed systems.
Posting language: English
Posted: Nov 4, 2026

Original job description

Requisition ID: 278457

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The Role

The Senior AI Platform Software Engineer will lead the design, development, and operation of scalable software platforms that enable enterprise teams to build, deploy, monitor, and govern artificial intelligence and machine learning solutions in production. Operating at the intersection of software engineering, cloud infrastructure, MLOps, generative AI, and platform engineering, this role provides technical leadership for reusable, secure, and reliable platform capabilities. The successful candidate will shape architecture, establish engineering standards, mentor engineers, and partner across product, data, security, risk, and architecture teams to accelerate responsible AI adoption at enterprise scale.

Is this role right for you? In this role you will:

Lead the architecture, design, development, and evolution of reusable platform services for AI and machine learning workloads, including training, evaluation, deployment, inference, monitoring, and lifecycle management.
Own the technical design of scalable APIs, orchestration layers, SDKs, developer portals, and self-service tooling that improve developer productivity and enable consistent enterprise adoption.
Define and implement production-grade MLOps and LLMOps patterns, including CI/CD, model and prompt versioning, automated evaluation, observability, drift detection, release controls, and rollback mechanisms.
Translate complex and ambiguous AI use cases into secure, extensible platform capabilities in partnership with data scientists, machine learning engineers, application teams, security, risk, and architecture stakeholders.
Design and operate resilient cloud-native and containerized services using Kubernetes, Docker, managed cloud services, and infrastructure-as-code practices.
Provide architectural leadership for generative AI capabilities, including model serving, retrieval-augmented generation, vector search, agentic workflows, feature pipelines, evaluation, guardrails, and enterprise integration patterns.
Embed reliability, scalability, security, privacy, governance, auditability, and cost optimization into platform architecture and engineering practices.
Establish and champion engineering standards for code quality, testing, observability, documentation, API design, operational readiness, and production support.
Lead technical reviews, evaluate emerging AI platform technologies, and influence build-versus-buy and adoption decisions aligned with enterprise strategy and architecture standards.
Mentor engineers, provide hands-on technical guidance, drive design consistency, and raise engineering maturity across platform teams.
Lead incident response, root-cause analysis, performance optimization, and continuous improvement for business-critical platform services.

Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Machine Learning, or a related technical discipline, or equivalent practical experience.

5+ years of professional software engineering experience, including significant experience designing and delivering production platforms, APIs, or distributed systems.

Advanced programming skills in Python, Java, Scala, Go, or a similar language, with a strong record of producing clean, testable, maintainable, and secure code.

Demonstrated experience leading system design for scalable, highly available services, including API design, asynchronous processing, distributed systems, data stores, caching, and performance optimization.

Deep hands-on experience with Azure, AWS, or Google Cloud across compute, storage, networking, identity, security, and managed AI or data services.

Strong experience with Docker, Kubernetes, infrastructure as code, CI/CD, release automation, and production operations.

Hands-on experience implementing MLOps or LLMOps capabilities such as model deployment, experiment tracking, registries, automated evaluation, observability, monitoring, and lifecycle controls.

Strong working knowledge of machine learning systems, data and feature pipelines, model serving, generative AI application patterns, and the operational risks associated with production AI.

Experience building modern front-end applications using React, Angular, or Vue, including component-based architecture, state management, accessibility, and responsive user interfaces.

Ability to design intuitive and performant experiences for developer portals, operational dashboards, workflow tools, and self-service platform interfaces.

Proven ability to apply secure software development practices, identity and access controls, secrets management, threat mitigation, and production operational controls.

Strong technical leadership, problem-solving, communication, collaboration, and ownership skills, with experience influencing cross-functional teams and mentoring engineers.

Nice‑to‑Have Qualifications:

Experience architecting internal developer platforms, AI platforms, ML platforms, or shared engineering services adopted by multiple teams at enterprise scale.

Hands-on experience with technologies such as MLflow, Kubeflow, Airflow, Argo Workflows, Databricks, Ray, Spark, feature stores, vector databases, model gateways, or model registries.

Experience designing LLM and agentic AI platforms, including retrieval-augmented generation, prompt orchestration, tool integration, evaluation frameworks, guardrails, identity, and observability.

Expertise with infrastructure-as-code and GitOps tools such as Terraform, Bicep, ARM templates, CloudFormation, Pulumi, Helm, or Argo CD.

Experience defining platform reference architectures, technical roadmaps, software development standards, and reusable patterns across engineering teams.

Experience operating services in regulated environments with governance, auditability, data privacy, responsible AI, and model risk management requirements.

Relevant certifications such as Azure AI Engineer Associate, AWS Certified Machine Learning Engineer, Google Professional Machine Learning Engineer, or Certified Kubernetes Administrator.

What's in it for you?

Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.

Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.

Upskilling through online courses, cross-functional development opportunities, and tuition assistance.

Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.

Dynamic Ecosystem - Free tea & coffee, universal washrooms, and lots of space for team collaboration.

Community Engagement - No matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs.

Location(s): Canada : Ontario : Toronto

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

Apply About employer

More about this job

Responsibilities

The Senior AI Platform Software Engineer will lead the design, development, and operation of scalable software platforms to enable enterprise AI and machine learning solutions. This role involves defining MLOps and LLMOps patterns, mentoring engineers, and partnering with cross-functional teams to ensure reliable and secure AI adoption.

Requirements

Candidates must have a bachelor's degree in a technical discipline and at least 5 years of professional software engineering experience. Proficiency in programming languages like Python, Java, or Go, along with deep experience in cloud platforms, Kubernetes, and AI/ML operational workflows, is required.

Skills

Python
Java
Scala
Go
Kubernetes
Docker
MLOps
LLMOps
Cloud infrastructure
System design
API design
Generative AI
CI/CD
Infrastructure as code
Distributed systems
Technical leadership

Benefits

Diversity, Equity, Inclusion & Allyship programs
Employee Resource Groups
Upskilling through online courses
Cross-functional development opportunities
Tuition assistance
Competitive rewards program
Bonus
Flexible vacation
Personal days
Sick days
Benefits starting on day one

Visa sponsorship

Not detected in the job text

Keywords

AI Platform
Machine Learning
MLOps
LLMOps
Generative AI
Kubernetes
Docker
Python
Java
Scala
Go
Cloud-native
Azure
AWS
Google Cloud
CI/CD
Infrastructure as Code
API Design
Distributed Systems
Retrieval-Augmented Generation
Vector Search
MLflow
Kubeflow
Terraform
GitOps
Software Engineering
Platform Engineering
Data Pipelines
Model Serving
Enterprise Architecture

Report this job