Lead AI/DevOps Engineer

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.

The Role:
• 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.

All About You:
• Proficient in DevOps tools such as Splunk, Dynatrace, Grafana, Prometheus, OpenShift Kubernetes, Docker, and Helm.
• Strong hands-on experience with Python; GoLang is a plus.
• Customer-focused mindset with a commitment to delivering simple, valuable solutions.
• Driven by a clear mission to prioritize customer needs.
• Continuously monitor market trends and competitors to inform strategy.
• Proactively engage with customers to understand their challenges and identify impactful solutions.
• Seek complementary products or services to enhance customer outcomes.
• Identify resource gaps and propose sustainable, team-benefiting solutions.
• Communicate technical concepts clearly and concisely.
• Confident and precise communicator, capable of articulating vision and strategy to diverse stakeholders.
• Solution-oriented approach to problem-solving.

#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 reasonable_accommodation@mastercard.com 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 Mastercard’s 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 Mastercard’s guidelines.