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Added 6 mins ago
RV
Principal FPGA & Hardware Developer
Ross Video
Ottawa, ON · Nepean, ON
- Full-time
Own or contribute to FPGA/SoC and board architecture, requirements, component selection, schematic design, implementation, verification, and production release.
Added 6 mins ago
S
Product Owner - Digital Enablement
Sanofi
Toronto, ON
- Full-time
Track value metrics post-release, interpret real user behavior (not just delivery velocity), and use cloud data platform and GenAI insights to adapt direction.
Added 20 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 20 mins ago
MC
Principal Embedded Software Firmware Engineer (35837)
Myticas Consulting
Ottawa, ON
- Contract
Own end-to-end embedded architecture and solutions from requirements and trade studies through hardware selection, software layering, interfaces, and release readiness.
Added 20 mins ago
MC
Network Management System Developer (35520)
Myticas Consulting
Ottawa, ON
- Full-time
We are seeking an experienced Network Management System (NMS) Developer to lead the design, development, and evolution of next-generation network management solutions for a cutting-edge…
Added 20 mins ago
CG
Senior Manager, ERP
Calian Group
Ottawa, ON
- Full-time
We are looking for a Senior Manager, Enterprise Resource Planning (ERP) to lead the strategy, delivery, support, governance, and continuous improvement of Calian’s ERP and HRIS ecosystem,…
Added 20 mins ago
BP
Senior Java Developer
BNP Paribas
Montreal, QC
- Full-time
Diagnose complex production issues, lead root-cause analysis, and implement lasting fixes.
Added 20 mins ago
BC
Construction Manager
Bantrel Co.
AB · Edmonton, AB
- Full-time
Manage site logistics, including material deliveries, interfaces, and release of materials to contractors.
Added 35 mins ago
O
Lead HR Technology Business Analyst
OpenText
Waterloo, ON
- Full-time
Lead enhancement requests through intake, prioritization, design, testing, release, and post-launch validation.
Added 50 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 50 mins ago
H
Biobank Specialist
HealthCareersInSask.ca
Saskatoon, SK
- Full-time
This role will lead strategic and operational plans for biosample planning, development and quality assurance activities. It will create standards, develop and maintain technical procedure…
Added 50 mins ago
D
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 50 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 50 mins ago
DI
Senior Android Developer
Dawn InfoTek
Toronto, ON
- Contract
We are currently seeking a highly skilled Senior Android Developer / Android Development Lead to join our dynamic team and support one of our major banking clients.
Added 1 hour ago
GA
Director, Consolidation & Financial Operations
Gildan Activewear Inc
Montreal, QC
- Other
Lead the monthly financial close and consolidation process.
Added 1 hour ago
M
Technology Program Management, Vice President
MUFG
Toronto, ON
- Full-time
· Release & Risk Management: Demonstrated ability to manage software release risks, including holding releases when necessary.
Added 1 hour ago
S
Release Manager
SkyAlyne
Ottawa, ON
- $45.5 to $52.5 CAD / hour
- Contract
Lead and facilitate release meetings while providing timely and effective communication of release status, updates, decisions, and issues to stakeholders.
Added 1 hour ago
G
Director, Consolidation & Financial Operations
Gildan
Montreal, QC
- Full-time
Lead the monthly financial close and consolidation process.
Added 1 hour ago
ZS
Cloud Infrastructure Devops Architect
Zodiac Solutions, Inc
Calgary, AB
- Full-time
Expertise in Git, Jenkins, Azure DevOps, GitHub Actions and Ansible, including CI/CD pipelines, release automation and application onboarding.
Added 1 hour ago
Senior Developer
Scotiabank
Toronto, ON
Own complex work from investigation and design through release, validation, and closure.
Added 1 hour ago
XS
Product Owner
XChange Software Inc
Calgary, AB
- Contract
Ensure quality readiness by validating work meets acceptance criteria before release
Added 1 hour ago
G
Finance Lead
Generis
Toronto, ON
- Full-time
…strengthen the capacity of the finance department. The Finance Lead will be responsible for ensuring the management of many of the day-to-day tasks within the Finance Department and play a…
Added 2 hours ago
TB
Senior DevOps Engineer (SRE / Platform Engineering)
TLNT Bridge Recruiting
Vancouver, BC
- Full-time
Develop and maintain CI/CD pipelines and deployment automation to improve software delivery and release reliability.
Added 2 hours ago
CI
Senior Manager, ERP
Calian in Space & Technology
Ottawa, ON
- Full-time
We are looking for a Senior Manager, Enterprise Resource Planning (ERP) to lead the strategy, delivery, support, governance, and continuous improvement of Calian’s ERP and HRIS ecosystem,…
Added 2 hours ago
Quality Assurance Supervisor
Organigram
Lac-Supérieur, QC
Our operations span four provinces, purpose-built to lead across multiple product formats:

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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