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Added 8 mins ago
V
Sr. Software Engineer - DevEx
VGS
Canada
- Full-time
…patching, and platform maintenance as administrative overhead - we engineer them with first-class product discipline. In payments infrastructure, reliability is not background work, it’s…
Added 9 mins ago
CT
Senior ML/AI Engineer, Advanced Analytics & Modelling - Customer Intelligence Platforms
Canadian Tire Corporation
Toronto, ON
- Full-time
We are seeking a highly technical and hands-on ML/AI Engineer to take end-to-end ownership of one of CTC's strategic customer intelligence platforms. The platform combines machine learning,…
Added 9 mins ago
C
Product Engineer (Cabico Coaticook)
Cabico
Sherbrooke, QC
- Full-time
We are seeking a Product Engineer to join our team at our Coaticook, QC site. Your mission: you will bridge the gap between a product idea and its manufacture. Your role is to properly…
Added 9 mins ago
C
Product Engineer (Cabico Coaticook)
Cabico
Coaticook, QC
- Full-time
We are seeking a Product Engineer to join our team at our Coaticook, QC site. Your mission: you will bridge the gap between a product idea and its manufacture. Your role is to properly…
Added 23 mins ago
E
Scientist II
Evonik
Burnaby, BC
- Full-time
…release and stability testing, all the way through to sterile product manufacturing under GMP for Phase I-II clinical trials. Products include the LIPEX® line of Extruders, which are…
Added 23 mins ago
Principal Product Designer
Momentum Financial Services Group
Toronto, ON
Partner closely with the design system engineer and product engineering teams to maintain alignment between Figma, design tokens, coded components, Storybook, and production behaviour.
Added 38 mins ago
Senior Software Integration Engineer - Assistant Vice President
iCapital
Toronto, ON
iCapital is looking to hire a Senior Software Integration Engineer - AVP to deliver robust, scalable and high-quality integration solutions across complex client and product ecosystems.…
Added 53 mins ago
L
Electronics Engineer
Lumentum
Ottawa, ON · Canada - Ottawa (Bill Leathem)
- Full-time
Lumentum is seeking a talented senior Electronics Engineer to develop leading edge electro-optic optical cross connect switch PCBAs. The successful candidate will be capable of priming…
Added 1 hour ago
Senior AI Platform Engineer
Scotiabank
Toronto, ON
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…
Added 1 hour ago
SG
Electrical Engineer
Socomec Group
Brampton, ON
- Full-time
This Electrical Engineer position will contribute to the system-level electrical design and development of high-power electrical systems (up to 2.5 MVA) for Uninterruptible Power Supply…
Added 1 hour ago
P
Sales Engineer - Renewable Energy (Wind)
Progressive
Montreal, QC
- $113,000 to $127,000 USD / year
- Full-time
An industry-leading renewable energy organization is seeking a Sales Engineer to support the growth of utility-scale wind energy projects across North America. This role serves as the…
Added 1 hour ago
ET
Senior RFIC Product Engineer (NPI & Yield)
Emtar Technologies Inc.
Vancouver, BC
- Full-time
We are seeking a Senior RFIC Product Engineer to bridge the gap between RF Design and high-volume manufacturing for our Satcom user terminal portfolio. You will own the silicon lifecycle…
Added 1 hour ago
P
Senior L3 AI Engineer
PeoplePilot
Montreal, QC
- $120,000 to $140,000 CAD / year
- Full-time
The engineer will maintain ownership of one assigned AI product while supporting the broader AI portfolio and ensuring structured handovers between locations.
Added 1 hour ago
RE
Lead Structural Engineer
RedBranch Executive Search & Recruitment
Mississauga, ON
- $95,000 to $115,000 CAD / year
- Full-time
Our client is a well-established manufacturing and engineering company based in Mississauga, and they are looking for a Lead Structural Engineer
Added 1 hour ago
GL
Frontend Engineering Lead
Geomagical Labs
Remote, Canada
- Full-time
- Remote
…is a hands-on technical leadership role for an experienced engineer who enjoys solving complex engineering challenges, influencing architecture, mentoring teammates and delivering…
Added 1 hour ago
Software Integration Engineer - Associate
iCapital
Toronto, ON
iCapital is looking to hire a Software Integration Engineer - Associate to join the Annuities Platform Team. This role develops, tests and supports well-defined integration solutions that…
Added 1 hour ago
T
Performance Engineering Lead
TD
Mississauga, ON · Toronto, ON
- Full-time
Develop deep relationships with Product Owners, Tech Leads and Ops to build transparency and help foster end to end accountability of products and services
Added 1 hour ago
T
Software Engineer II (Systems Support)
TD
Toronto, ON
- Full-time
The Software Engineer II is responsible for providing leadership, technical expertise, and operational support within the Credit Platform team. They will ensures the reliability, stability,…
Added 1 hour ago
M(
Senior Platform Engineer, Quality Platform
MaintainX (An Autodesk Company)
Remote, Canada
- $107,000 to $195,000 CAD / year
- Full-time
- Remote
As a Senior Engineer on the Quality Platform team, you'll build the shared testing infrastructure, frameworks, and AI-assisted tooling that every engineering team at MaintainX relies on to…
Added 1 hour ago
RA
Staff Software Engineer, Platform
Rivian and Volkswagen Group Technologies
Remote, Canada
- $137,300 to $181,890 CAD / year
- Full-time
- Remote
…customer-facing digital experiences. As a Staff Backend Software Engineer, you will provide technical leadership across important platform initiatives: shaping architecture, delivering…
Added 1 hour ago
K
AWS Cloud Engineering Team Lead
Kyndryl
Toronto, ON
- Contract
Our financial sector client requires the services of an AWS Cloud Engineer Team Lead to support the Cloud Platform and Product Components
Added 1 hour ago
VT
AI Engineer - Agentic AI, Commercial Banking
Vision Talent Co.
Toronto, ON
- Contract
Role: AI Engineer – Agentic AI, Commercial Banking
Added 1 hour ago
Q
Forward Deployed Engineer
Quadric
Canada
- Full-time
…Code–based agentic workflows) - you won't just be supporting the product, you'll be inventing how edge-AI field engineering is…
Added 1 hour ago
SS
Senior Java Software Engineer
Soho Square Solutions
Toronto, ON
- Contract
participating in Agile ceremonies; collaborating with product, architecture, QA, DevOps, and distributed development teams; and coordinating with offshore developers.
Added 1 hour ago
A
Process Engineer Intermediate
Airswift
Calgary, AB
- Contract
…narratives, simulations, operating setpoint recommendations, and product composition…

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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