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Database developer Smartstream TLM SME Senior Engineer
Citi
Mississauga, ON
- Full-time
We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the…
Added 7 mins ago
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Senior Consultant, Fusion Services (12- month contract)
CIBC
Toronto, ON
- Full-time
As part of the Fusion Services team, the Senior Consultant, Fusion Services will assist in developing the processes, tools, technologies, and capabilities that enable and support the…
Added 7 mins ago
CT
Senior Applied AI Scientist, Advanced Analytics & Modelling - Customer Intelligence
Canadian Tire Corporation
Toronto, ON
- Full-time
…and improve the models behind one of CTC's strategic customer intelligence platforms. The platform combines machine learning, generative AI and large-scale transaction data to identify…
Added 7 mins ago
CT
Senior ML/AI Engineer, Advanced Analytics & Modelling - Customer Intelligence Platforms
Canadian Tire Corporation
Toronto, ON
- Full-time
…take end-to-end ownership of one of CTC's strategic customer intelligence platforms. The platform combines machine learning, generative AI and large-scale transaction data to identify…
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Senior Consultant, Executive Search & Recruitment
MNP
Edmonton, AB
- Full-time
Make an impact with our Consulting – Executive Search and Recruitment team as a Senior Consultant. This team of professionals supports clients in identifying and attracting high-caliber…
Added 7 mins ago
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Brand Director
Rates.ca
Toronto, ON
- Full-time
Collaborate with Growth Marketing, Business Intelligence, and Finance on brand lift, incrementality, and media mix modelling, so brand investment rests on evidence.
Added 22 mins ago
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Senior Risk Analyst
Financial Services Regulatory Authority (FSRA)
Toronto, ON · FSRA Head Office
- Full-time
Conducts comprehensive risk analysis of business intelligence, market data, financial and other regulatory information requested from / submitted by credit unions, to assess each…
Added 22 mins ago
Senior Manager, Economics Advisory (Ottawa)
EY
Ottawa, ON
You will expand and strengthen existing client relationships by participating in internal and external business development activities. The Senior Manager role requires a demonstrated…
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Forensic and Dispute Services Senior Manager (Bilingual FR/EN)
PwC
Montreal, QC · Quebec, QC
- Full-time
As a Forensic and Dispute Services Senior Manager (Bilingual FR/EN), you’ll work as part of a team of problem solvers, helping to solve business issues, deliver high quality client service…
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Senior Analytics Engineer
Level Access
Canada
- Full-time
Level Access is hiring a Senior Analytics Engineer to own the data products that power trusted reporting, business decisions and AI experiences at Level. With an initial focus on GTM and…
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Principal Product Manager
Absorb
Remote, Canada
- Full-time
- Remote
Build alignment and conviction: Create clear, data-backed business cases that bring senior leaders and teams along.
Added 37 mins ago
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Senior Data Scientist (Applied ML) - Canada
NerdWallet
Remote, Canada
- $161,000 to $243,000 CAD / year
- Full-time
- Remote
We’re growing, and we’re looking for a Senior Data Scientist (Applied ML) to join us as a foundational member of our new team. You’ll help shape and advance our machine learning…
Added 37 mins ago
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Senior IT Developer
TD
London, ON · Mississauga, ON · Toronto, ON
- Full-time
…job-related knowledge, geographic location, and other specific business and organizational…
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Senior Data Analyst
Michelin
Magog, QC
- Full-time
As a Senior Data Analyst (Steering Beyond Road), you will support business decision-making and performance improvement through data analysis, reporting, and the development of business…
Added 37 mins ago
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Senior Advisor, Business strategies
Desjardins
Levis, QC · Montreal, QC
- Full-time
As a senior business strategy advisor, you help develop plans and business intelligence; monitor business plans and performance; set targets; identify opportunities to improve service…
Added 52 mins ago
Bureau de la transformation numérique / Digital Transformation Office - Responsable de l’IA / AI Lead
Jam
QC · Baie D'urfe, QC
Stratégie : Concevoir la feuille de route de l’entreprise en matière d’intelligence artificielle et d’apprentissage automatique.
Added 52 mins ago
AG
Real Estate Valuation Analyst (Toronto)
Altus Group
Toronto, ON
- Full-time
We offer boundless opportunities in a rapidly growing global business: mentorship from the best and brightest in CRE, access to our Altus Intelligence Academy, and the chance to work with…
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AG
Account Manager, Client Engagement & Adoption
Altus Group
Toronto, ON
- Full-time
…management, and commercial strategy. You will gain exposure to senior stakeholders, collaborate across multiple business functions, and build the skills needed to pursue broader…
Added 52 mins ago
LC
Merchandising Manager, Nature's Treasure
Loblaw Companies Limited
Hamilton, ON
- Full-time
The Merchandising Manager is a pivotal role which provides required support to the Senior Merchandising Manager, Nature’s Treasure, Director of Merchandising and Franchisees to develop and…
Added 52 mins ago
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Senior Category Management Specialist
The TJX Companies, Inc.
Mississauga, ON · CAN Home Office Mississauga ON
- $76,620 to $107,268 CAD / year
- Full-time
…and contracting efforts for all non-merchandise areas of the business. In this role, you will play a key part in supplier selection, driving value for the organization while collaborating…
Added 52 mins ago
YI
Account Manager (Client Success & Growth)
YuJa Inc.
Toronto, ON · North York, Ontario
- Full-time
Hands-on experience working with senior-level business leaders
Added 52 mins ago
YI
Client Success Manager - Bilingual (French & English)
YuJa Inc.
Toronto, ON · North York, Ontario
- Full-time
Hands-on experience working with senior-level business leaders
Added 52 mins ago
SC
Programmer Analyst - Permanent (internal/external)
Sudbury Catholic District School Board
Sudbury, ON
- Full-time
…information from various sources, and providing insight into relevant business intelligence gleaned for those information…
Added 52 mins ago
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Manager, Customer Service & Operations
The Talent Company
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $110,000 CAD / year
- Full-time
Prepare reports, dashboards, and recommendations for senior leadership.
Added 52 mins ago
MB
Construction Project Manager
MBI Brands
Markham, ON
- Full-time
Reports To: Senior Director, Design & Construction

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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