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Added 53 mins ago
FC
ENGINEERING LEAD POST BOOKING OPTIMIZATION - TORONTO, ON
Flight Centre Travel Group Canada
ON · Ontario, Canada
- Full-time
We're looking for an Engineering Lead to own and drive the technical solution behind Post Booking Optimization. This is a high-impact opportunity to design and build systems that…
Added 53 mins ago
IT Infrastructure Manager
Affinity Credit Union
Estevan, SK · Regina, SK · Saskatoon, SK
Lead the research, recommendation, configuration, and implementation of changes to enhance Affinity’s IT operations, including data center infrastructure, cloud, and incident management
Added 1 hour ago
Lead, Geospatial Platform Operations
City of Edmonton
AB
…driving digital innovation and leading high performing teams? The Lead, Geospatial Platform Operations is a senior technical leadership role within the Enterprise Geospatial Technology…
Added 2 hours ago
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Senior Technical Lead/Responsable technique senior
CGI
Toronto, ON
- Full-time
The Senior Technical Lead leads and contributes to hands-on engineering delivery, turning business requirements into secure, resilient cloud services and AI-enabled solutions. The role owns…
Added 3 hours ago
DIRECTOR, PRODUCT - INSURANCE
Green Shield Canada
Toronto, ON
Collaborate with Architecture, Engineering, and Cloud Services teams.
Added 3 hours ago
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Director, Product Line Management
Jobgether
Canada
- $170,500 to $272,300 CAD / year
- Full-time
The Director, Product Line Management will lead product strategy, roadmap execution, and lifecycle management for a portfolio of advanced optical networking solutions. This senior…
Added 3 hours ago
RC
Management Consulting Supervisor, Technology Performance
RSM Canada
Toronto, ON
- Full-time
RSM’s Management Consulting Technology Performance team provides strategy and advisory services designed to improve the effectiveness of our clients’ Technology & Digital functions. We help…
Added 3 hours ago
BT
Cloud Accounting Specialist
Baker Tilly Canada
Guelph, ON
- Full-time
We are looking for a Cloud Accounting Specialist to join our team - a role where your expertise will drive meaningful outcomes and your ambition will help shape what comes next. Here,…
Added 3 hours ago
SC
Senior Linux and Cloud Administrator | Global Cloud Ops LLD | Pacemaker Operations | Toronto
SAP Careers
Toronto, ON
- $97,800 to $202,400 CAD / year
- Full-time
SAP Private Cloud Operations (PCO) Delivery is a private cloud managed services provider who offers SAP applications in the HANA Enterprise Cloud. Our team "PCO Server Management" is tasked…
Added 3 hours ago
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Director, Product - Insurance
GreenShield
Toronto, ON
- Full-time
Collaborate with Architecture, Engineering, and Cloud Services teams.
Added 4 hours ago
E
Specialist I, IT Enterprise GIS Technical Specialist
Enbridge
Calgary, AB · Edmonton, AB · Toronto, ON · North York
- Full-time
…Specialist I, IT Enterprise GIS Technical Specialist to join our team and provide senior technical leadership for our enterprise GIS platforms and solutions. In this role, you will be…
Added 4 hours ago
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Founding Product & Solutions Lead
Rainharbor
Toronto, ON
- Full-time
Lead each deployment alongside the client's information technology staff, under access they grant for the session: setup inside their cloud account, sign-in, connections, and getting their…
Added 6 hours ago
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Senior Strategic Sales Manager (m/f/d)
Jobgether
Canada
- Contract
…(Germany, Austria, and Switzerland). In this role, you will lead complex B2B sales cycles, from identifying new business opportunities and engaging decision-makers to negotiating and…
Added 6 hours ago
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Cloud & AI Solution Engineer - Azure Platform
Microsoft
Toronto, ON
- Full-time
In this technical presales role, you will help customers design secure, scalable, and resilient cloud architectures that support their modernization goals. Using Azure’s IaaS and PaaS…
Added 6 hours ago
S
DCN Project Engineering Manager
SLB
Calgary, AB
- Full-time
Lead or oversee all mechanical and structural technical activities and discussions within Team, Project, or Product Line.
Added 6 hours ago
AI
SQL Database Administrator
Apptoza Inc.
Vancouver, BC
- Full-time
The person will lead Microsoft SQL Server database administration, production support, operational governance and database service delivery. The role requires hands-on SQL DBA expertise,…
Added 7 hours ago
S
Senior Windows Server Automation Engineer
Swoon
Toronto, ON
- Contract
VMware/Hyper-V, cloud, and regulated-enterprise (financial services) experience.
Added 7 hours ago
OH
Senior Specialist, Technical-1
Ontario Health | Santé Ontario
Toronto, ON
- Full-time
Le spécialiste principal, Services techniques, fournit une expertise technique pour assurer la stabilité, la sécurité, la disponibilité et la performance de l'infrastructure et des services…
Added 7 hours ago
RU
Management Consulting Supervisor, Technology Performance
RSM US LLP
Toronto, ON
- Full-time
RSM’s Management Consulting Technology Performance team provides strategy and advisory services designed to improve the effectiveness of our clients’ Technology & Digital functions. We help…
Added 7 hours ago
C
Staff Technical Program Manager, Data Center New Product Introduction
Cerebras
Canada
- Full-time
…inference speeds; over 10 times faster than GPU-based hyperscale cloud inference…
Added 7 hours ago
C
Staff Technical Program Manager, Data Center Data & Tooling
Cerebras
Canada
- Full-time
…inference speeds; over 10 times faster than GPU-based hyperscale cloud inference…
Added 7 hours ago
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Python Developer with Banking and payment
VySystems
Toronto, ON
- Full-time
…designing, building, deploying, scaling, and maintaining modern, cloud-based production services, with knowledge of service-oriented…
Added 7 hours ago
Network Technician
KSR
Chatham-Kent, ON · Ridgetown, ON
…infrastructure improvements, and knowledge sharing across the IT…
Added 8 hours ago
C
Fullstack Integration Developer Vice President
Citi
Mississauga, ON
- Full-time
Container Orchestration & Cloud Platforms: Hands-on experience with OpenShift and solid understanding of Kubernetes (pods, deployments, services, etc.).
Added 8 hours ago
QF
Manager, Data Science
Questrade Financial Group
Toronto, ON · North York, ON
- Full-time
Team Leadership & Statistical Authority: Lead, mentor, and develop a high-performing team of data scientists; act as the organization's subject matter expert on causal inference,…

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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