AI Platform Engineering Manager

Mastercard Colombia, Inc.; Atlanta (GA); On-site; USD 140,000 - 231,000; Full time

Benefits offered by this job

Insurance (medical, dental, vision)

Paid time off

401k with company match

Job summary

Mastercard is seeking a Manager, Software Engineering to lead the design, development, and delivery of AI platform capabilities that enable intelligent products and agentic experiences across B2MI.

This role combines people leadership, technical ownership, and cross-functional delivery accountability. You will guide teams to build reusable AI platform services, establish execution frameworks, and ensure secure, reliable, and compliant AI solutions aligned with Mastercard standards.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
• Proven experience leading software engineering teams that deliver shared platforms, distributed systems, or AI-enabled capabilities.
• Strong background in distributed systems, object-oriented programming, and backend engineering (e.g., Java, Python, or similar).
• Hands-on depth in software design and architecture, data structures, code review, and performance engineering.

Responsibilities

• Lead, coach, and develop one or more teams of software engineers by setting clear goals, managing performance, and creating development plans aligned to individual and organizational objectives.
• Build a strong engineering culture focused on ownership, quality, accountability, and continuous improvement, and partner with leadership on hiring, team composition, and long-term planning.
• Guide teams through change and ambiguity, connecting team priorities to broader business and enterprise goals.
• Own end-to-end delivery of complex initiatives across multiple systems, services, or teams. This includes defining roadmaps and priorities with Product and stakeholders, managing dependencies and risks, and resolving cross-team blockers.
• Establish execution frameworks for planning, estimation, and tracking that enable predictable, high-quality delivery.
• Lead development of scalable AI platform services and reusable capabilities that support AI-powered products, intelligent workflows, and agentic systems, designed for secure integration, reliability, observability, and reuse across teams.
• Drive production integration of AI capabilities, including model inference, LLM-based services, orchestration, enterprise data and system connectivity, evaluation, and guardrails.
• Promote shared engineering patterns and standardization to speed up delivery and reduce duplication across teams.
• Define and evolve AI platform architecture in line with enterprise standards for scalability, security, interoperability, and maintainability, and translate complex product, AI, and integration requirements into robust system designs.
• Evaluate new technologies and lead adoption decisions based on business value, technical fit, and long-term sustainability, balancing near-term delivery with platform strategy and technical debt.
• Ensure systems meet Mastercard standards for reliability, security, compliance, performance, and observability, and establish best practices for AI evaluation, guardrails, lifecycle management, and production monitoring.
• Own production health, including troubleshooting, incident management, root cause analysis, and continuous improvement, and drive adoption of code review, CI/CD, automated testing, and secure coding practices.
• Collaborate with AI Engineers, Data Scientists, Product Managers, Architects, and platform teams to deliver integrated AI solutions, and communicate technical strategy, risks, and progress clearly to leadership and partners.

Skills

Distributed systems

Backend engineering

People management

Performance engineering

Architecture decisions

Education

Bachelor's degree in Computer Science or equivalent

Tools

Java

Python

Job description

Mastercard is seeking a Manager, Software Engineering to lead the design, development, and delivery of AI platform capabilities that enable intelligent products and agentic experiences across B2MI.

This role combines people leadership, technical ownership, and cross-functional delivery accountability. You will guide teams to build reusable AI platform services, establish execution frameworks, and ensure secure, reliable, and compliant AI solutions aligned with Mastercard standards.