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Added 7 mins ago
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Senior Advisor, Legal affairs
Desjardins
Levis, QC · Montreal, QC
- Full-time
…play a key role in making sure that its rights are protected and obligations are met. You represent the organization in situations involving its legal interests. You may be responsible for…
Added 7 mins ago
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Laboratory Technician - Conventional
Semex
Kemptville, ON
- Full-time
Learning and development catalog and opportunities
Added 7 mins ago
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Outbound Product Manager – 12 month contract
PointClickCare
Mississauga, ON
- Contract
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in…
Added 7 mins ago
CT
Senior ML/AI Engineer, Advanced Analytics & Modelling - Customer Intelligence Platforms
Canadian Tire Corporation
Toronto, ON
- Full-time
We are seeking a highly technical and hands-on ML/AI Engineer to take end-to-end ownership of one of CTC's strategic customer intelligence platforms. The platform combines machine learning,…
Added 7 mins ago
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Senior Marketing Manager - GI Cancers
AstraZeneca
Mississauga, ON · Canada - Mississauga
- Full-time
Are you ready to lead a high-impact GI oncology portfolio and turn insight into action that changes patient outcomes? This role places you at the center of a dynamic commercial engine -…
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Design Aérostructure / Airframe Design
Airbus
Mirabel, QC · Montreal, QC
- Full-time
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Recreation Aide- Permanent Casual- 8:00 to 16:00
Sienna Senior Living
Lake Country, BC
- Part-time
…others? Join our team at Sienna Senior Living Long Term Care and become a vital part of our resident-centered community. As a Recreation Aide, you'll have the opportunity to bring joy and…
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Category Manager (National Grocery) - Mars Food & Nutrition
Mars
Bolton, ON · BOL-Mars Canada Inc.
- Full-time
Best in class learning and development support from day one, including access to our in - house Mars University.
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Business Analyst (Distribution)
Equisoft
Montreal, QC · Quebec, QC · HYBRID - Montreal, Canada
- Full-time
Participate in pre-planning sessions with the Development Team Lead and Product Owner to define next sprint priorities.
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Brand Director
Rates.ca
Toronto, ON
- Full-time
This role demands equal parts strategic vision, creative leadership, and executional discipline. You’ll lead a team of one and work closely with Growth Marketing, Editorial & PR, Digital…
Added 7 mins ago
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[Disney Dreamlight Valley PC/Console] Analyste de données sénior - Senior Data Analyst
Gameloft Montreal
Montreal, QC
- Full-time
Reporting to the Live Ops Studio Lead, you will serve as the team's go-to analytics expert. You will directly influence game strategy through in-depth analysis while helping grow the…
Added 7 mins ago
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Clinical Research Project Coordinator
The Hospital for Sick Children
Toronto, ON
- Full-time
Dedicated exclusively to children and their families, The Hospital for Sick Children (SickKids) is one of the largest and most respected paediatric healthcare centres in the world. As…
Added 7 mins ago
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Associate Manager, Communications
Canadian Olympic Foundation
Toronto, ON
- Full-time
Lead the development of video and multimedia content by contributing story concepts, scripts, briefing materials, and creative direction that effectively communicate the impact of…
Added 22 mins ago
Assistant Manager
EssilorLuxottica Group
Langley (City), BC · Langley, BC
Everything we do is centered around sight. Because quality care helps us see the joy in life. Because learning from the best, makes us all better. Because continuing our legacy of the…
Added 22 mins ago
Senior Talent Programs Advisor
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Calgary, AB
Future initiatives may include the development of scalable resources, learning experiences, tools, campaigns, and frameworks that empower employees to take ownership of their career growth…
Added 22 mins ago
ScotiaMcLeod Business Development Associate
Scotiabank
Vancouver, BC
Learning and Development – via Scotia Academy, a virtual learning experience to upskill and develop your skills at work or from your personal device
Added 22 mins ago
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Senior Risk Analyst
Financial Services Regulatory Authority (FSRA)
Toronto, ON · FSRA Head Office
- Full-time
At FSRA, we invest in the personal and professional growth of our team. We offer a competitive compensation package that includes an employer-matched defined benefit pension plan, and a…
Added 22 mins ago
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Consumer Experience (CX) Strategy lead
Sanofi
Toronto, ON
- Full-time
The Consumer Experience (CX) Strategy lead provides the end-to-end consumer experience strategy and digital solutions for Sanofi patients, customers, and staffs to work seamlessly and…
Added 22 mins ago
AI
Technical Product Manager - Platforms & Integrations
Accurant International
Remote, Canada
- $120,000 to $140,000 CAD / year
- Full-time
- Remote
Independently lead assigned product initiatives from discovery through launch, driving decisions, stakeholder alignment, and product acceptance.
Added 22 mins ago
Program Manager
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON
Career Development: Opportunities for career advancement, access to industry-leading learning programs and up to $2,000 annually towards education reimbursement.
Added 22 mins ago
Director, Life Underwriting
The Canada Life Assurance Company
Canada
Lead, coach and develop a high-performing team of underwriting specialists, setting clear expectations for quality, service, collaboration, learning and accountability
Added 22 mins ago
Senior Manager, Economics Advisory (Ottawa)
EY
Ottawa, ON
EY has an established industry leading EY-Parthenon Practice. We help clients determine the right deal to do and then assist them in doing the deal right. We are a growing practice that has…
Added 22 mins ago
Tourism and Lands Policy Advisor
Government of Alberta
Calgary, AB
Tourism and Sport works with communities, businesses and Travel Alberta to showcase the beauty of Alberta and propel our tourism and sport industries to new heights. One of the Government…
Added 22 mins ago
VF
Maintenance Technician
Village Farms International Inc.
Delta, BC
- $30 to $42 CAD / hour
- Full-time
Here is where you come in as a Maintenance Technician. You have a "think outside the box" mentality and enjoy solving problems with creative solutions. You love to work with your hands and…
Added 22 mins ago
QU
Data Governance Specialist
Queen's University
Kingston, ON
- $80,569 to $99,974 CAD / year
- Temporary
Supports the development and maintenance of institutional data catalogues, metadata repositories, curated data assets, and data definitions.

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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