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About the Role
Mastercard is seeking a Principal AI Engineer to design and deliver enterprise-scale AI platform capabilities that help teams build, deploy, evaluate, and operate AI-powered applications securely and reliably. This role combines deep software engineering expertise with platform engineering and cloud architecture experience, acting as a hands-on technical leader.
Responsibilities
- Design scalable architectures for AI applications, distributed services, APIs, event-driven workflows, and data-intensive workloads.
- Build production-grade backend services, orchestration frameworks, and reusable platform components.
- Define platform patterns, reference architectures, and implementation standards.
- Translate ambiguous business and product requirements into secure, scalable technical solutions.
- Drive architectural decisions across service boundaries, data flows, performance, extensibility, reliability, and security.
- Design and evolve cloud-native foundations, including Kubernetes, containers, networking, deployment automation, and infrastructure as code.
- Establish standards for observability, SLOs, deployment and rollback, capacity planning, resiliency, and disaster recovery.
- Produce architecture diagrams, flowcharts, and design documentation, and lead reviews.
- Contribute hands-on through development, code reviews, design reviews, and technical coaching.
- Evaluate emerging AI, cloud, and platform technologies and guide adoption decisions.
Requirements
- Strong engineering experience designing, delivering, and operating large-scale production systems.
- Proven ownership of complex platform, infrastructure, or enterprise software solutions from design through production.
- Experience leading technical initiatives across multiple teams and influencing architecture decisions at scale.
- Hands-on experience with Python and modern backend technologies.
- Experience designing APIs, distributed systems, event-driven architectures, and cloud-native applications.
- Strong understanding of software design principles, testing strategies, CI/CD, and continuous delivery practices.
- Deep experience operating systems on AWS, Azure, or GCP, with hands-on Kubernetes, containers, and cloud-native architecture experience.
- Experience with infrastructure as code tools such as Terraform, CloudFormation, Helm, or similar technologies.
- Understanding of modern GenAI application patterns, including RAG, evaluation frameworks, prompt engineering, AI observability, model lifecycle management, and agents or agent orchestration.
- Strong knowledge of networking, identity, security, reliability, monitoring, incident management, and operational readiness practices.
- Ability to present, promote, defend, and demonstrate technical solutions to various stakeholders.
- Track record of mentoring teams and driving technical excellence across an organization.
- Experience building enterprise AI platforms, GenAI solutions, or developer platforms.
- Experience with AI observability and evaluation platforms.
- Experience with fintech, regulated environments, or enterprise security and governance processes.
- Experience supporting highly regulated or high-security environments.
Skills
- Python
- Kubernetes
- Containers
- Cloud-native architecture
- Terraform
- CloudFormation
- Helm
- GenAI application patterns
- RAG
- Evaluation frameworks
- Prompt engineering
- AI observability
- Model lifecycle management
- Agents
- Agent orchestration
- Networking
- Identity management
- Security
- Reliability
- Monitoring
- Incident management
- Operational readiness
Location
- Toronto, Canada
Work Type
- Full-time
Experience Level
- Principal
- Senior
Salary/Compensations
- $138,000 - $221,000 CAD
About the Company
- Mastercard powers economies and empowers people in 200+ countries and territories worldwide.
- We are building a sustainable economy where everyone can prosper.
- We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible.
- Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
- All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security.
Equal Opportunity
- Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
- We hire the most qualified candidate for the role.
- In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.