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Added 1 min ago
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General Manager (Grand Prairie)
Indigo
AB · Alberta, Canada
- Full-time
Lead regular Visual Merchandising Assessments (VMA) and review product flow with a focus on customer experience; driving sales and profitability by allocating resources to support visual…
Added 1 min ago
RU
Specialist, Automation Systems
Ricoh USA, Inc.
ON · Ontario, Canada
- Part-time
…while managing priorities on all daily activities. Demonstrates technical expertise and provides a full range of servicing and repair the following Partner agreed on Standard Operating…
Added 1 min ago
EV
Senior Lead, Environment Water Treatment
Elk Valley Resources
Sparwood, BC
- $123,000 to $145,000 CAD / year
- Full-time
To be successful, we are looking for someone with a strong technical background, outstanding critical thinking, and complex problem-solving abilities, who can make quick decisions in…
Added 1 min ago
MG
Manager Project Management Office
Maxxit Group
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…with Sales, Engineering, Design, Production, Procurement, Site Operations, and Executive Leadership to ensure successful project execution from award through installation and…
Added 2 mins ago
TC
Operational Excellence Manager
The Coca-Cola Company
Peterborough, ON · Canada - ON - Peterborough
- Full-time
Lead the development and implementation of operating models using leading indicators and performance data to identify gaps, prioritize action, and drive measurable improvement.
Added 2 mins ago
BG
Operations Support Specialist (Canada West)
Boyd Group Services
Calgary, AB · AB · Vancouver, BC · Victoria, BC · Winnipeg, MB · MB · Saskatoon, SK
- Full-time
…in collision and glass services. As we continue to grow and lead the industry, we ensure you have the resources and the team behind you to move your career…
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Sr. Marketing Manager, Core Surgical Innovations
Medtronic
Brampton, ON · CAN-ON Brampton
- Full-time
Lead portfolio strategy, annual planning, positioning, and execution across assigned Core Surgical Innovations businesses.
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Documentation and Training Analyst
Manulife
Halifax, NS · Toronto, ON · Waterloo, ON · Montreal, QC
- Full-time
This opportunity is well suited to someone who combines strong instructional design and technical-writing skills with business analysis, facilitation and disciplined document control. The…
Added 2 mins ago
II
Quality Analyst
Ingredion Incorporated
Cardinal, ON
- Full-time
…safety, and compliance initiatives across our manufacturing operations. In this role, you will play a critical part in ensuring product integrity, supporting operational excellence, and…
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Maintenance Foreperson
Amrize
Langley (District), BC · Langley, Brit
- $45.96 to $57.45 CAD / hour
…is operating efficiently and safely to support daily asphalt operations and production targets. The ideal candidate will possess strong leadership skills and extensive mechanical knowledge…
Added 2 mins ago
Team Lead - Toronto Centre District, ON
Scotiabank
Toronto, ON
The Team Lead is responsible for leading, overseeing and providing strategic direction to the Canadian Business Banking (SB) sales force. This role ensures business strategies, plans and…
Added 2 mins ago
Manager, Global Banking and Markets Data Platform Governance
Scotiabank
Toronto, ON
Lead the day-to-day operations of the GBM Data Platform (GBM DP) Intake and Governance processes, including management of streaming architecture access requirements and coordination with…
Added 2 mins ago
Customer Experience Lead - Mont Royal, Quebec (37.5 hours/week)
Scotiabank
Mont-Royal, QC
We are looking for an enthusiastic, driven individual who will lead and support our Customer Experience Associates, while championing Scotiabank’s core values and culture.
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Manager, Information Security Risk
FCT
Oakville, ON
- Full-time
As the Manager, Information Security Risk, you will lead the assessment, governance, and oversight of information security risks across enterprise technology initiatives, with a primary…
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Director, Finance Operations
The Government of Nova Scotia
Halifax, NS
This is an opportunity to combine professional accounting expertise with broader leadership. You will guide financial operations, strengthen planning and risk management, support sound…
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Electronic Technician (I - III)
Halliburton
AB · Mount Pearl, AB
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop…
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Construction Manager (YNSE)
Aecon
Toronto, ON · North York, ON
Integrity. We lead by example, with humility and courage.
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Business Development Manager, Advanced Integrity Division
ROSEN-Group
Calgary, AB
The Regional Business Development Manager serves as the region’s strategic customer and market insight lead. The role ensures that strategic decisions, portfolio direction, and priorities…
Added 17 mins ago
CC
Culinary Administrator, Bell Center
Compass Canada
Montreal, QC
- Full-time
…actions, workplace incidents), and leading HSQA audits of kitchen operations during event evenings, followed by debrief meetings and action plan…
Added 17 mins ago
Software Development Manager, S3 Index
Amazon
Vancouver, BC
- Lead the design, delivery & operations of select services which form part of the S3 Index Control Plane system. These services monitor, scale & repair the data plane services on request…
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CCaaS Solution Architect - Amazon Connect
Accenture
Toronto, ON
- Full-time
…omnichannel customer experience solutions, and you bring the technical depth and strategic perspective needed to guide complex migration programs from legacy contact center platforms to the…
Added 17 mins ago
AC
Manager, Data and AI - AI Systems Integrations and Agentic technical owner
Air Canada
Toronto, ON · Dorval, QC
- Full-time
The Manager, Data & AI leads the technical integration, deployment and production-readiness capabilities required to operationalize AI products, models, agents and supporting data pipelines…
Added 17 mins ago
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Senior Cloud Platform Lead, Senior Manager
PwC
Ottawa, ON · Toronto, ON
- Full-time
…implementing robust, secure IT systems that support business operations. They enable the smooth functioning of networks, servers, and data centres to optimise performance and minimise…
Added 32 mins ago
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Rail Maintenance Facility Director – Engineering Services
SYSTRA
Toronto, ON
- Full-time
Lead multidisciplinary technical reviews and integration of facility civil, structural, mechanical and electrical infrastructure with specialized rail systems, including signalling,…
Added 32 mins ago
UL
Manager, Professional Resources & Legal Support
Urban Legal Recruitment Inc.
Calgary, AB · Greater Calgary Metropolitan Area
- Contract
Lead execution of the 1L and 2L student recruitment

Scotiabank

Senior AI Platform 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: 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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