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Added 9 days ago
QW
AI Developer with Python
Quantum World Technologies Inc.
Mississauga, ON
- Full-time
Minimum of 8 years of software development experience, with strong hands-on experience in Python and relevant experience in AI/ML or Generative AI.
Added 9 days ago
Senior Security Engineer - Cloud Security
PagerDuty
Toronto, ON
Strong software engineering background - years building and operating production systems at scale, with the ability to design and ship security-focused platforms, services, and tooling as a…
Added 9 days ago
QW
Senior AI Developer
Quantum World Technologies Inc.
Mississauga, ON
- Full-time
Minimum of 8 years of software development experience, with strong hands-on experience in Python and relevant experience in AI/ML or Generative AI.
Added 9 days ago
Senior Manager, Credit Modeling and Strategy
Questrade Financial Group
Toronto, ON
At QFG, we combine human-centric collaboration with AI-driven innovation to redefine financial services. The ideal candidate will be a catalyst for change, using AI to transform and deliver…
Added 9 days ago
C
Sr. Manager, Application Development
CIBC
Toronto, ON
- Full-time
…at Design Solutioning and have at least 8 years experience with Python, LLM, AI/ML, NLP, SQL DB, and Microservices. You come equipped with 3 years of experience with Generative AI/LLM. It’s…
Added 9 days ago
TC
GenAI Technical Lead
Tata Consultancy Services
Open Hall, NL
- Full-time
Should have strong technical expertise in Python, hands-on experience with at least one GenAI framework (LangGraph, LangChain, or Google AI Development Kit), and strong working knowledge of…
Added 9 days ago
T
AI Software Engineer
TrustFlight
Vancouver, BC
- Full-time
Strong proficiency in Python and JavaScript/TypeScript, with the ability to deliver full-stack changes across backend services, web applications, and Python-based systems.
Added 9 days ago
ES
Senior Software Architect
Euna Solutions
ON · Oakville, Ontario
- Full-time
Provide technical leadership on complex architectural challenges, balancing immediate delivery with long-term scalability and maintainability.
Added 9 days ago
R|
Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
…arm of the McGill University Health Centre (MUHC) affiliated with the Faculty of Medicine at McGill University. The RI-MUHC is supported in part by the Fonds de recherche du Québec - Santé…
Added 9 days ago
C
Director, Chapter Lead, Media Analytics
CIBC
Toronto, ON
- Full-time
You are digitally and technically fluent. You are comfortable working with modern analytics and data science tools such as Python, SQL, Pandas, scikit-learn, and cloud-based data…
Added 9 days ago
AI Platform Software Engineer
Scotiabank
Toronto, ON
Strong programming skills in Python, Java, Scala, or a similar language, with a focus on clean, testable, maintainable code.
Added 9 days ago
Senior AI Platform Software Engineer
Scotiabank
Toronto, ON
Advanced programming skills in Python, Java, Scala, Go, or a similar language, with a strong record of producing clean, testable, maintainable, and secure code.
Added 9 days ago
PX
Consultant, Data Scientist
Project X
Toronto, ON
- Full-time
Proficiency in Python and SQL, with experience in data wrangling, statistical analysis, and model development
Added 9 days ago
AS
Applied Scientist, Ring AI
Amazon Science
Toronto, ON
- Full-time
…that will work on scale. This position requires experience with developing Multi-modal LLMs and Vision Language Models. You will collaborate with different Amazon teams to make informed…
Added 9 days ago
A
Cloud Software Engineer
Actalent
Ottawa, ON · Kanata, ON
- $46 to $65 CAD / hour
- Contract
The Software Developer will support the design, development, testing, and deployment of the Telemetry & Observability Platform (TOP). This enterprise platform integrates vehicle telemetry,…
Added 9 days ago
RB
Associate Director - Lead Data Modeler/Analyst
Royal Bank of Canada
Toronto, ON
- Full-time
This role demands a self-driven leader who can operate independently, engage confidently with senior stakeholders, and deliver results at pace in a complex, multi-asset trading environment.
Added 9 days ago
EI
Junior Quality Control Software Developer
Ecolab Inc.
Calgary, AB
- Full-time
We have an exciting opportunity for a Quality Control Software Developer (Junior) to join our team in Calgary, Alberta. In this role, you will support the development, maintenance, and…
Added 9 days ago
BH
Member of Technical Staff
Beacon Holdings
Toronto, ON
- Full-time
We are building that platform. A cross-portfolio datalake on open table formats, with a feature store on top that makes the data usable by both people and software. An action layer that…
Added 9 days ago
AI & Data - Senior Consultant, AI/ML Engineer (Bilingual French & English)
EY
Montreal, QC · Quebec, QC
Proficiency in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Added 9 days ago
ML Software Engineer, Routing
Lyft
Toronto, ON
Our technology stack runs on AWS, Kubernetes, Go, Python/C++, Apache Airflow, Flink, and Kafka. We use AI to improve development productivity, optimize customer support workflows, and…
Added 9 days ago
R
Associate Director - Lead Data Modeler/Analyst
RBC
Toronto, ON
- Full-time
This role demands a self-driven leader who can operate independently, engage confidently with senior stakeholders, and deliver results at pace in a complex, multi-asset trading environment.
Added 9 days ago
SL
Senior Data Scientist
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
…the problem at hand and figure out how to execute and deliver with highest efficiency. Technical skills in both data and computer science. There are 3 core technical skills we look for:…
Added 9 days ago
KG
Forward Deployed Engineer (Python/PySpark, LLM)
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Strong hands-on data discovery skills, including profiling unfamiliar client data with Python, pandas, PySpark, and SQL; assessing coverage and quality; and quantifying volumes,…
Added 9 days ago
CL
Senior AI Engineer
Charger Logistics Inc.
Brampton, ON
- Full-time
Charger logistics Inc. is a world- class asset-based carrier with locations across North America. With over 20 years of experience providing the best logistics solutions, Charger logistics…
Added 9 days ago
CL
Data Scientist
Charger Logistics Inc.
Brampton, ON
- Full-time
Charger Logistics Inc. is a leading asset-based transportation company with over 20 years of experience delivering innovative logistics solutions. We have evolved into a world-class…

Scotiabank

Senior AI Platform Software 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: Oct 15, 2026

Original job description

Requisition ID: 276518

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 platforms to enable enterprise AI and machine learning solutions. This role involves establishing engineering standards, mentoring team members, and partnering with cross-functional stakeholders to accelerate responsible AI adoption.

Requirements

Candidates must have a bachelor's degree in a technical field and at least 5 years of professional software engineering experience. Proficiency in programming languages like Python or Java, along with deep experience in cloud platforms, Kubernetes, and MLOps practices, is required.

Skills

Python
Java
Scala
Go
Kubernetes
Docker
MLOps
LLMOps
Cloud infrastructure
System design
API design
Generative AI
Infrastructure as code
CI/CD
Distributed systems
Software engineering

Benefits

Upskilling opportunities
Tuition assistance
Competitive rewards program
Bonus
Flexible vacation
Personal days
Sick days
Health benefits
Employee resource groups

Visa sponsorship

Not detected in the job text

Keywords

AI Platform
Machine Learning
MLOps
LLMOps
Generative AI
Kubernetes
Docker
Python
Java
Scala
Go
Cloud Computing
Azure
AWS
Google Cloud
Infrastructure as Code
CI/CD
API Design
Distributed Systems
Data Pipelines
Model Serving
Retrieval-Augmented Generation
Vector Search
MLflow
Kubeflow
Terraform
GitOps
Software Engineering
Platform Engineering
Enterprise Architecture

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