Lead AI / DevOps Engineer

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re 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.

Lead AI / DevOps Engineer

Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.

With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

The LLM as a Service team is looking for a Lead AI / DevOps Engineer to drive our customer experience strategy forward by consistently innovating and problem-solving. The ideal candidate is passionate about the customer experience journey, highly motivated, intellectually curious, analytical, and possesses an entrepreneurial mindset.

Lead DevOps initiatives in on-prem environments.

• Design, deploy, and manage scalable AI infrastructure using Kubernetes for reliable orchestration of large language models and related services.
• Develop proof-of-concept solutions for advanced AI use cases, including model context protocols (MCPs), LLMs, retrieval-augmented generation (RAG), and agentic workflows.
• Partner with security and governance teams to ensure AI solutions comply with enterprise policies, regulatory standards, and privacy best practices.
• Collaborate with infrastructure and platform teams to optimize cloud resources for scalable, efficient, and cost-effective AI workloads.
• Work directly with customer teams to gather requirements, deliver innovative solutions, and provide ongoing technical support throughout the AI product lifecycle.

Proficient in DevOps tools such as Splunk, Dynatrace, Grafana, Prometheus, OpenShift Kubernetes, Docker, and Helm.

Report any suspected information security violation or breach, and

In line with Mastercard’s 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. 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; 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; S. observed holidays; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and on-site fitness facilities in some locations.

Remote - California : $140,000 - $231,000 USD

Remote - New York : $140,000 - $231,000 USD

Applications for this job posting will be accepted on an ongoing basis.