AI Software Engineer

Our Purpose _Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, weu2019re helping build_ _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._ Title and Summary AI Software Engineer Overview Mastercardu2019s AI Center of Excellence (AI COE) is seeking an AI Engineer to lead a team building production grade Agentic AI and traditional AI/ML solutions across the breadth of Mastercardu2019s business. Youu2019ll lead the development of prototypes and evolve them into secure, compliant, highly available systems at global scale. This role is ideal for an engineer early in their career whou2019s eager to learn fast, ship meaningful features, and grow under the mentorship of senior engineers in a regulated environment. The Role As a key contributor to our AI and ML initiatives, you will: u2022 Contribute to well-defined prototype efforts and deliver production-ready features with high-quality code, tests, and CI/CD practices. u2022 Build core components for Agentic AI systems including RAG, embeddings, vector search, and tool/function calling, with guidance from senior engineers. u2022 Enhance model evaluation frameworks (offline/online, golden sets, HIL), monitor key metrics (quality, latency, cost, safety), and drive data-informed improvements. u2022 Collaborate on data ingestion, contracts, and catalog usage, ensuring compliance with privacy and access policies. u2022 Implement observability tools, guardrails, and cost controls; follow secure coding and Responsible AI practices for safety and auditability. u2022 Work cross-functionally with product, design, and platform teams; contribute to agile processes, documentation, and peer reviews. All About You u2022 BS/MS in Computer Science, Data Science, or equivalent practical experience. u2022 Proficient in Python, REST, SQL, Git, Docker, and CI/CD workflows. u2022 Familiarity with LLMs, prompting, embeddings, RAG, and ML tools like PyTorch/TensorFlow. u2022 Exposure to major cloud platforms (Azure, AWS, GCP), data lakes/warehouses, and event-driven systems (e.g., Spark, Kafka). u2022 Strong coding practices, iterative development mindset, and clear written/verbal communication. u2022 Professional hands-on experience building services, ML features, or GenAI applications. u2022 Hands-on with Agentic AI frameworks, prompt management, and evaluation tooling. u2022 Understanding of Responsible AI and safety/guardrail systems. u2022 Knowledge of Cloudera AI, Databricks, Spark, Delta/Unity Catalog, or similar stacks. u2022 Portfolio of open-source contributions, hackathons, or published work. #AI1 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 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. Corporate Security Responsibility 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 and must: + Abide by Mastercardu2019s security policies and practices; + Ensure the confidentiality and integrity of the information being accessed; + Report any suspected information security violation or breach, and + Complete all periodic mandatory security trainings in accordance with Mastercardu2019s guidelines. In line with Mastercardu2019s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Pay Ranges San Francisco, California: $110,000 - $176,000 USD Boston, Massachusetts: $106,000 - $169,000 USD New York City, New York: $110,000 - $176,000 USD Purchase, New York: $106,000 - $169,000 USD Remote - California: $92,000 - $147,000 USD Job Posting Window Applications for this job posting will be accepted on an ongoing basis.

Created: 2025-10-13