MasterCard
Job Title:
Principal AI Engineer
Overview:
About Mastercard
Mastercard is a global technology leader in the payments industry, connecting billions of consumers, financial institutions, merchants, governments, and businesses worldwide. We are shaping the future of commerce by enabling secure, seamless, and intelligent transactions. Artificial Intelligence is central to our strategy-making Mastercard stronger and commerce safer, smarter, and more personal.
Role Overview:
As a Principal AI Software Engineer, you will play a pivotal role in architecting and delivering next-generation AI-powered platforms that drive innovation and scale across Mastercard. You will lead by example-designing and building intelligent systems using cutting-edge AI tools, large language models (LLMs), and emerging frameworks. While this is an individual contributor role, you will collaborate deeply with cross-functional teams, mentor engineers, and influence technical direction across the organization.
You will be responsible for developing Agentic AI systems, designing robust backend services, and driving experimentation with novel AI capabilities. Your work will directly impact Mastercard's ability to deliver secure, scalable, and ethical AI solutions.
Key Responsibilities
• Architect & Build Agentic AI Systems- Design and implement advanced AI agents and supporting infrastructure that power Mastercard's AI platform.
• Technical Leadership & Collaboration- Partner with senior engineers, data scientists, and product teams to define technical strategy, share best practices, and drive alignment across initiatives.
• AI Experimentation & Evaluation- Lead rigorous testing and evaluation of LLMs, emerging AI technologies, and frameworks to identify opportunities for innovation and improvement.
• Prompt Engineering & Optimization- Develop and refine prompt strategies to maximize performance, reliability, and contextual accuracy of LLM-based systems.
• Guardrail & Safety Design- Architect and implement safeguards to ensure AI outputs are secure, compliant, and aligned with Mastercard's ethical standards.
• Backend Engineering Excellence- Build scalable APIs, microservices, and data pipelines that integrate seamlessly with AI-powered features.
• Continuous Learning - Stay current with the latest developments in AI, LLMs, and software engineering best practices.
All About You:
• Proven experience designing and deploying AI/ML systems at scale, with deep expertise in LLMs and generative AI.
• Advanced proficiency in Python and backend frameworks (e.g., FastAPI, Flask, Node.js).
• Strong understanding of RESTful APIs, microservices architecture, and cloud platforms (Azure preferred; AWS or GCP also valued).
• Demonstrated ability to lead complex technical initiatives while remaining hands-on with code.
• Passion for AI safety, prompt engineering, and ethical AI development.
• Excellent communication and collaboration skills, with a track record of influencing across teams and disciplines.
• Commitment to staying current with the latest AI research, tools, and engineering practices.
Why Join Us?
At Mastercard, you'll help shape the future of AI in global commerce-solving complex challenges at scale, driving financial inclusion, and reinforcing the trust and security that define our brand. You'll work with world-class talent, cutting-edge technologies, and will make a lasting impact.
#AI1
To find US Salary Ranges, visit People Place. Under the Compensation tab, select "Salary Structures." Within the text of "Salary Structures," click on the link "salary structures 2025," through which you will be able to access the salary ranges for each Mastercard job family. For more information regarding US benefits, visit People Place and review the Benefits tab and the Time Off & Leave tab.
Principal AI Engineer
Overview:
About Mastercard
Mastercard is a global technology leader in the payments industry, connecting billions of consumers, financial institutions, merchants, governments, and businesses worldwide. We are shaping the future of commerce by enabling secure, seamless, and intelligent transactions. Artificial Intelligence is central to our strategy-making Mastercard stronger and commerce safer, smarter, and more personal.
Role Overview:
As a Principal AI Software Engineer, you will play a pivotal role in architecting and delivering next-generation AI-powered platforms that drive innovation and scale across Mastercard. You will lead by example-designing and building intelligent systems using cutting-edge AI tools, large language models (LLMs), and emerging frameworks. While this is an individual contributor role, you will collaborate deeply with cross-functional teams, mentor engineers, and influence technical direction across the organization.
You will be responsible for developing Agentic AI systems, designing robust backend services, and driving experimentation with novel AI capabilities. Your work will directly impact Mastercard's ability to deliver secure, scalable, and ethical AI solutions.
Key Responsibilities
• Architect & Build Agentic AI Systems- Design and implement advanced AI agents and supporting infrastructure that power Mastercard's AI platform.
• Technical Leadership & Collaboration- Partner with senior engineers, data scientists, and product teams to define technical strategy, share best practices, and drive alignment across initiatives.
• AI Experimentation & Evaluation- Lead rigorous testing and evaluation of LLMs, emerging AI technologies, and frameworks to identify opportunities for innovation and improvement.
• Prompt Engineering & Optimization- Develop and refine prompt strategies to maximize performance, reliability, and contextual accuracy of LLM-based systems.
• Guardrail & Safety Design- Architect and implement safeguards to ensure AI outputs are secure, compliant, and aligned with Mastercard's ethical standards.
• Backend Engineering Excellence- Build scalable APIs, microservices, and data pipelines that integrate seamlessly with AI-powered features.
• Continuous Learning - Stay current with the latest developments in AI, LLMs, and software engineering best practices.
All About You:
• Proven experience designing and deploying AI/ML systems at scale, with deep expertise in LLMs and generative AI.
• Advanced proficiency in Python and backend frameworks (e.g., FastAPI, Flask, Node.js).
• Strong understanding of RESTful APIs, microservices architecture, and cloud platforms (Azure preferred; AWS or GCP also valued).
• Demonstrated ability to lead complex technical initiatives while remaining hands-on with code.
• Passion for AI safety, prompt engineering, and ethical AI development.
• Excellent communication and collaboration skills, with a track record of influencing across teams and disciplines.
• Commitment to staying current with the latest AI research, tools, and engineering practices.
Why Join Us?
At Mastercard, you'll help shape the future of AI in global commerce-solving complex challenges at scale, driving financial inclusion, and reinforcing the trust and security that define our brand. You'll work with world-class talent, cutting-edge technologies, and will make a lasting impact.
#AI1
To find US Salary Ranges, visit People Place. Under the Compensation tab, select "Salary Structures." Within the text of "Salary Structures," click on the link "salary structures 2025," through which you will be able to access the salary ranges for each Mastercard job family. For more information regarding US benefits, visit People Place and review the Benefits tab and the Time Off & Leave tab.