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Added 27 mins ago
Senior Developer
Scotiabank
Toronto, ON
The Product Onboarding team is seeking a hands-on Senior Engineer to design and deliver modern, cloud-native onboarding applications using JavaScript, TypeScript, MongoDB, Express.js,…
Added 27 mins ago
Senior Renewable Power Engineer
Hatch
Mississauga, ON
Looking to take the next step in your career? Hatch is seeking a Senior Engineer, Renewable Power interested in the integration of Utility Scale Solar PV, wind, and BESS, to work as part of…
Added 42 mins ago
J
Senior Forward Deployed Engineer
Justworks
Toronto, ON
- $167,500 to $235,000 CAD / year
…focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in…
Added 42 mins ago
P
Senior Associate SIEM Implementation
PwC
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON · Montreal, QC
- Full-time
…systems, and provide proactive solutions to safeguard sensitive…
Added 42 mins ago
GT
Sr QA Engineer (POS)
GSPANN Technologies, Inc
Vancouver, BC
- Contract
Senior QA Engineer with experience across our in-store Point-of-Sale (POS) and mobility stack, including Oracle Xstore and Xmobile, to support application architecture, development and…
Added 1 hour ago
V
Sr. Software Engineer - DevEx
VGS
Canada
- Full-time
As a Senior Software Engineer, you’ll help build a new category of payment infrastructure at the intersection of AI, card networks, cryptography, and secure money movement, developing…
Added 1 hour 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 1 hour ago
R
Senior AI Engineer
RBC
Toronto, ON
- Full-time
Internal Audit is replacing manual, spreadsheet-based processes with secure, real-time digital tools. As a Senior AI Engineer, you'll build the applications auditors use to plan, run, and…
Added 1 hour 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 2 hours 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 2 hours ago
P
Senior L3 AI Engineer
PeoplePilot
Montreal, QC
- $120,000 to $140,000 CAD / year
- Full-time
# Senior L3 AI Engineer – Enterprise AI Platforms
Added 3 hours ago
AC
Senior Project Manager - Civil
Accenture Construct
Toronto, ON
- Full-time
At Accenture Construct, that's the job. You'll help deliver the data centers, power grids, rail networks, factories and public infrastructure that keep communities moving - smarter, safer…
Added 3 hours ago
PR
Corporate Planning Engineer
Parex Resources
Calgary, AB
- Full-time
Our Capital Markets & Corporate Planning team is seeking an Engineer with Operations and Development Planning background, to report to the Team Lead Corporate Planning, in the capacity of…
Added 3 hours ago
AC
Senior Presales Solutions Architect, AWS
Adastra Corporation
Markham, ON
- Full-time
Adastra Canada is looking for a senior technologist to be the firm's AWS champion inside the Presales team. This is a customer-facing role for someone who has spent years building on AWS,…
Added 3 hours ago
P
Senior Data Warehouse Developer
Pinnacle
Toronto, ON
- Full-time
As a senior data engineer, you will design, implement, and optimize the full-stack data infrastructure - from Snowflake clusters setup to data ingestion, transformation and report…
Added 3 hours ago
QA
Data Engineer II - QuantumBlack, AI by McKinsey
QuantumBlack, AI by McKinsey
Toronto, ON
- Full-time
Proven experience building end-to-end data pipelines and platforms for Agentic AI, Generative AI, Machine Learning, or Business Intelligence, covering data preparation, embeddings…
Added 3 hours ago
EN
Program Manager
Extreme Networks
Toronto, ON
- Full-time
Added 4 hours ago
ES
Senior AI Engineer
Epsilon Solutions Ltd.
Montreal, QC
- Full-time
Senior AI Engineer - Copilot / ChatGPT / Grok / Claude / Gemini
Added 4 hours ago
TI
Machine Learning Engineer - Senior
TekStaff IT Solutions
Toronto, ON
- Contract
The Senior Machine Learning Engineer will deploy, integrate, monitor, and operationalize AI and machine-learning solutions using modern MLOps practices. The role will establish reusable…
Added 5 hours ago
Renewable Power Senior Engineer
Hatch
Mississauga, ON
Looking to take the next step in your career? Hatch is seeking a Senior Engineer, Renewable Power interested in the integration of Utility Scale Solar PV, wind, and BESS, to work as part of…
Added 5 hours ago
Solar Lead, Senior EOI
Hatch
Mississauga, ON
Looking to take the next step in your career? Hatch is seeking a Solar PV Lead interested in the integration of Utility Scale Solar PV Systems, to work as part of the eGRID team. Reporting…
Added 5 hours ago
LM
Systems Engineer Stf - Electronic Warfare
Lockheed Martin
Ottawa, ON
- Full-time
The Electronic Warfare (EW) Programs team, located in Kanata Ontario, requires a Senior Systems Engineer to work alongside Department of National Defence (DND) in support of the Strongbow…
Added 5 hours ago
O
Senior Business Development Advisor
Ovintiv
Calgary, AB
- Full-time
The Senior Business Development Advisor will be a key part of the Corporate Development team with primary responsibility for financial modeling of potential mergers, acquisitions/investment…
Added 5 hours ago
AS
Senior Data Developer
AgileGrid Solutions
Canada
- Full-time
We are seeking a Senior Data Developer (Engineer) to help build the data foundation for Contact Distributor, Intact’s new platform for broker and distributor master data. This platform will…
Added 6 hours ago
P
Applied AI Engineer Intern
Plusgrade
Toronto, ON · CAN - Toronto
- Full-time
Working closely with a senior mentor, you will build and operate the production inference services that serve machine learning models across our partner ecosystem in real time. Your day to…

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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