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Added 3 mins ago
PC
Head of Trading
Penderfund Capital Management
Vancouver, BC
- Full-time
We are seeking a Head of Trading that will lead the evolution of Pender’s trading capabilities across equities, fixed income and derivatives, building the people, technology, processes and…
Added 3 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 3 mins ago
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AI Onboarding Specialist
Vendasta
Saskatoon, SK
- Full-time
You’ll work with AI Automation Specialists, Product, Customer Success and Sales.
Added 3 mins ago
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Team Lead, Operations (Overnights)
Sobeys
Whitby, ON
- Full-time
Reporting to the assigned Shift Lead Operations, the Team Leads control and direct all selection, loading, forklift, and support staff to ensure the accurate selection of product to all…
Added 3 mins ago
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Assistant Store Manager - Smart Centers Cambridge
RCL - Reitmans Canada Ltd/Ltée
Cambridge, ON
- Full-time
Talent Support & Development: Participate in hiring, onboarding, and training team members. Support succession planning and contribute to performance management processes.
Added 3 mins ago
CC
Bilingual Senior Service Manager - Hybrid
Canon Canada
Montreal, QC
- $117,100 to $131,800 CAD / year
- Full-time
…regional P&L, implement service-led growth initiatives, and lead regional teams through change to consistently exceed SLAs and market expectations. You will also define Key Performance…
Added 3 mins ago
FL
Inventory Coordinator
FMi Logistics Inc.
Calgary, AB
- Full-time
…audits the receipt, inspection, and storage of goods, maintains product and location records, and works with customer service and warehouse teams to improve inventory processes. The…
Added 3 mins ago
AG
Search Lead
Adelphi Group
Toronto, ON
- Full-time
At Critical Mass, the Search Lead advances account- and practice-level priorities by leading data-driven Search strategy and delivery for a leading financial-services client. The role…
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Vehicle Inspection Specialist
OPENLANE
Brampton, ON · Toronto, ON · CAN - ON - Brampton (Toronto)
- Full-time
Keep current on technology updates, new releases, and product development
Added 18 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 18 mins ago
HI
Client Care Representative - Personal Insurance Associate
HUB International
Nelson, BC
- Full-time
…positive, friendly manner while educating clients in your excellent product knowledge in habitational, travel, and automobile…
Added 18 mins ago
IF
Internal Wholesaler
iA Financial Group
Vancouver, BC
- Full-time
…within a caring and trusted organization. Here, people and their development are at the heart of our priorities, fostering an environment that encourages collaboration and…
Added 18 mins ago
Senior Geotechnical Applications Engineer
Mattr
AB · Edmonton, AB
Lead field investigations and root cause failure analyses, own the technical outcome, document findings, and develop practical corrective and preventive recommendations in partnership with…
Added 18 mins ago
RC
ServiceNow Architect
RSM Canada
Toronto, ON
- Full-time
…will establish technical direction, guide solution design and development, promote platform best practices, and help clients maximize the long-term value of their ServiceNow…
Added 18 mins ago
KB
Procurement Coordinator
KOLER BUILDERS
ON · Ontario, Canada
- Full-time
…comprehensive and cost-effective services for our clients, from the pre-development phase through to project completion. Koler Builders is wholly-owned by Byron Equities, a global real…
Added 18 mins ago
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Technical Delivery Manager
Deloitte
Toronto, ON
- Full-time
Set product direction and lead delivery from ideation through launch, including key milestones, demos and release planning.
Added 18 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 18 mins ago
BS
Digital Marketing & Ecommerce Manager (French Asset)
Bilingual Source
Oshawa, ON · Greater Oshawa Metropolitan Area
- $85,000 to $95,000 CAD / year
- Contract
You'll manage the day-to-day performance and ongoing development of our client's digital commerce and marketing activities. From improving the online shopping experience to overseeing…
Added 18 mins ago
S
BC - Central Kitchen - Meat Plant - Supervisor Production
Sobeys
Delta, BC
- Full-time
…output targets, quality, and food safety standards are met. They lead, coach, and develop a diverse team while managing scheduling, workflow, and production priorities. This role also…
Added 18 mins ago
S
Retail Development Specialist (12-Month Contract)
Shiseido
Markham, ON
- $65,000 to $75,000 CAD / year
- Contract
This role focuses on supporting the National Sales and Education Director in key Retail Development, Business Analysis, Reporting and Education strategies and plan execution. Primary…
Added 18 mins ago
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Product Solution Project Manage
Quectel
Richmond, BC
- Full-time
Collaborate with the business, supply chain and product cost departments to lead the establishment of cost models (BOM/ manufacturing/ R&D investment) and quotation strategies, ensuring…
Added 18 mins ago
FC
Principal Designer- Material Handling
Fluor Corporation
Calgary, AB
- Full-time
…work on projects of varying locations in both a supporting and lead role capacity. The position relies primarily on established policies, procedures, and applicable work practices to make…
Added 18 mins ago
LG
Systems Integration Manager
Lotus Group
AB · Edmonton, AB
- Full-time
…company and its customer engineering teams, overseeing the co-development and execution of large-array and custom equipment integration projects. This individual will coordinate internal…
Added 18 mins ago
P
Retail Operations Lead
PetSmart
Guelph, ON
- Full-time
PetSmart’s Process Lead (Retail Operations Lead) has shared responsibility to drive operational excellence in our stores while upholding the company’s vision, mission, values, and strategy.…
Added 18 mins ago
B
Scrum Master, Team Coach
BRP
Sherbrooke, QC
- Full-time
Support Product Owners in their growth and development as well as product management and product backlog best practices

Scotiabank

Senior AI Platform Engineer

Toronto, ON, M5H 1H1, Canada

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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.

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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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