Mastercard

1 week ago

Principal AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Design and deliver enterprise-scale AI platform capabilities that enable teams to build, deploy, evaluate, and operate AI-powered applications securely and reliably. Lead hands-on architecture across distributed services, APIs, event-driven workflows, and data-intensive workloads. Build reusable backend services and cloud-native foundations (e.g., Kubernetes, containers, IaC), establish observability/SLO standards, and guide governance, security reviews, and adoption of emerging AI and platform technologies.

Location: Toronto

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design scalable architectures for AI applications, including 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 to accelerate enterprise AI adoption.
•Design and evolve cloud-native foundations (Kubernetes, containers, networking, deployment automation, and infrastructure as code).
•Lead observability, SLOs, deployment/rollback, capacity planning, resiliency, disaster recovery, and architecture/security/governance reviews.

Pay and Benefits

Salary: CAD 138,000 - 221,000 annually

Key Requirements

•Strong experience designing, delivering, and operating large-scale production systems.
•Proven ownership of complex platform, infrastructure, or enterprise software solutions from design through production.
•Hands-on experience with Python and modern backend technologies.
•Experience designing APIs, distributed systems, event-driven architectures, and cloud-native applications.
•Deep experience with AWS, Azure, or GCP, including hands-on Kubernetes and containers, plus infrastructure-as-code tools (e.g., Terraform, CloudFormation, Helm).

Experience:AI platformsGenAICloud-nativeEnterprise softwareFintechRegulated environments

Skills:Hands-on leadershipTechnical coachingMentoringStakeholder communication

Tech Stack:PythonAPIsDistributed systemsEvent-driven architecturesKubernetesContainersAWSAzureGCPCloud-nativeInfrastructure as codeTerraformCloudFormationHelmCI/CDContinuous deliveryRAGPrompt engineeringAI observabilityModel lifecycle management

Company Brief

Mastercard

Mastercard is a global payments and technology company that processes transactions, provides fraud prevention and data services, and builds payment infrastructure for consumers, businesses, merchants and governments across 200+ countries.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Purchase, New York, United States

Founded: 1966

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Mastercard

1 week ago

Principal AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: Toronto

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design scalable architectures for AI applications, including 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 to accelerate enterprise AI adoption.
•Design and evolve cloud-native foundations (Kubernetes, containers, networking, deployment automation, and infrastructure as code).
•Lead observability, SLOs, deployment/rollback, capacity planning, resiliency, disaster recovery, and architecture/security/governance reviews.

Pay and Benefits

Salary: CAD 138,000 - 221,000 annually

Key Requirements

•Strong experience designing, delivering, and operating large-scale production systems.
•Proven ownership of complex platform, infrastructure, or enterprise software solutions from design through production.
•Hands-on experience with Python and modern backend technologies.
•Experience designing APIs, distributed systems, event-driven architectures, and cloud-native applications.
•Deep experience with AWS, Azure, or GCP, including hands-on Kubernetes and containers, plus infrastructure-as-code tools (e.g., Terraform, CloudFormation, Helm).

Experience:AI platformsGenAICloud-nativeEnterprise softwareFintechRegulated environments

Skills:Hands-on leadershipTechnical coachingMentoringStakeholder communication

Company Brief

Mastercard

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Purchase, New York, United States

Founded: 1966

Glassdoor: 4.1

Website LinkedIn Glassdoor