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Added 6 mins ago
M
Software Engineer
Mecka
Remote, Canada
- $165,000 to $200,000 CAD / year
- Full-time
- Remote
We're hiring Software Engineers who own problems end to end - not a single layer of the stack. You'll ship production software that powers Mecka's data platform and the tools our operators,…
Added 6 mins ago
Z
Software Developer 1
Zynga
Toronto, ON
- $73,900 to $109,360 CAD / year
…necessary. Our software engineers are comfortable moving between front-end, back-end, and architecture…
Added 1 hour ago
T
DevOps Engineer
TEEMA
Montreal, QC
- $65 to $77 CAD / hour
- Contract
Design, develop, and support CIAM platforms, including front-end, back-end, APIs, and identity services.
Added 1 hour ago
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Java Developer or Python Developer with Data Lineage and meta data
I8IS - Infiniti Software Solutions
Mississauga, ON
- Full-time
Experience designing APIs and backend services, plus the front-end fundamentals to build usable interfaces.
Added 1 hour ago
Senior Forward Deployed Engineer (Gemini Enterprise)
Welcome to the Jungle
Montreal, QC
…data pipelines that support them. You will own your components end to end: the front end, the service behind it, the data and retrieval pipelines feeding it, the deployment, and the…
Added 2 hours ago
Senior AI Platform Engineer
Scotiabank
Toronto, ON
Experience building modern front-end applications using React, Angular, or Vue, including component-based architecture, state management, accessibility, and responsive user interfaces.
Added 4 hours ago
ES
Senior AI Engineer
Epsilon Solutions Ltd.
Montreal, QC
- Full-time
We are seeking a Senior Level 3 AI Engineer to act as the first point of call for engineering issues across the firm’s end user AI products - Microsoft Copilot, OpenAI ChatGPT, Anthropic…
Added 5 hours ago
Manufacturing & Process Engineer - Senior PMO / Change & Transformation Lead
Capgemini
Montreal, QC
…la transformation pour soutenir le déploiement du programme Front Line Leadership (FLL) au sein d’un important environnement manufacturier du secteur…
Added 5 hours ago
CM
Mechanical Engineering SME (Subject Matter Expert), Capital Projects
Cyclic Materials
Toronto, ON
- Full-time
…proprietary technology platform, we recover rare earths from end-of-life products and transform them into high-purity materials used to produce new permanent magnets. These magnets are…
Added 5 hours ago
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Principal Product Manager, Agent Intelligence
Equinix
Toronto, ON
- Full-time
Define what “good” means for each agent and for the system end to end. That covers correctness, grounding in sources, completeness, tool-use accuracy, workflow adherence, latency, cost and…
Added 5 hours ago
MI
Junior Quality Engineer
Magna International
Brampton, ON
- Full-time
The Magna Exteriors portfolio of products includes access systems such as liftgates, exterior trim, modular systems, front-end modules including fascia, active aerodynamic systems and other…
Added 6 hours ago
BC
Intermediate Electrical Engineer
BBA Consultants
Thunder Bay, ON
- Full-time
BBA is seeking an Intermediate Electrical Engineer to be a part of our new Thunder Bay office to support our continued growth in Central Canada. You’ll play a key role in all phases of…
Added 6 hours ago
RI
Production Support Engineer
Rivago Infotech Inc
Toronto, ON
- Contract
Role : Production Support Engineer / Application Support Engineer
Added 7 hours ago
IO
Project Development Engineer
Irving Oil
Saint John, NB
- Full-time
As an Engineer on Irving Oil’s Front-End Engineering team, you will play a key role in supporting the safe and reliable operation of the refinery through the development of Heat & Material…
Added 12 hours ago
RI
Frontend Engineer
Rivago Infotech Inc
Toronto, ON
- Contract
· Developing new user-facing features using React.js. Building reusable components and front-end libraries for future use.
Added 14 hours ago
C-
Technical Sales and Field Service Engineer
Captiveaire - Region 114 Western PA
Ottawa, ON
- Full-time
…action is taken when a good idea is presented. We are focused on end users where the rest of the industry is very short-sighted. We are on the front lines, actively changing the landscape…
Added 18 hours ago
EA
Controls & Field Service Technician
EVS Automation Ltd
Burnaby, BC
- Full-time
…commissioning systems on site, working directly with our lead engineer. In your first year, you’ll take at least one project from factory testing through to handover. You’ll also become a…
Added 22 hours ago
P
Senior Software Engineer - Java/React
PointClickCare
Mississauga, ON
- Full-time
Front-End: React, Micro-Frontends, Material-UI
Added 22 hours ago
P
Principal Software Engineer
PointClickCare
Mississauga, ON
- Full-time
Front-End: React, Micro-Frontends, Material-UI
Added 22 hours ago
A
Senior Software Developer, Frontend
Autodesk
Toronto, ON
- Full-time
5+ years of experience as a hands-on front-end developer
Added 22 hours ago
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Principal Software Engineer
PointClickCare
Mississauga, ON
- $142,700 to $178,400 CAD / year
- Full-time
Front-End: React, Micro-Frontends, Material-UI
Added 22 hours ago
P
Senior Software Engineer - Java/React
PointClickCare
Mississauga, ON
- $130,100 to $162,600 CAD / year
- Full-time
Front-End: React, Micro-Frontends, Material-UI
Added 22 hours ago
Senior Commercial Engineer
Gibson Energy
AB · Calgary, AB
The Commercial Engineer recommends the technical scope development of supported external-customer business cases through pre-front end engineering design (Pre-FEED)/Class 4. Reporting to…
Added 23 hours ago
R
Senior Full Stack Engineer (Rails & React)
REW
Vancouver, BC
- Full-time
Support the development of front-end services using both Rails native (haml) and React technologies, integrating these with back-end services.
Added 23 hours ago
A
Senior Software Developer, Frontend
Autodesk
Toronto, ON
- Full-time
5+ years of experience as a hands-on front-end developer

Scotiabank

Senior AI Platform Engineer

Toronto, ON, M5H 1H1, Canada

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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.

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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

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