Location: New York City, NY; Arlington, VA; Boston, MA; O’Fallon, MO; Remote (CA, NY); San Francisco, CA
Schedule: Full-time
Job ID: R-262551
Application Deadline: Applications accepted on an ongoing basis.
About Mastercard
Mastercard is a global technology leader at the heart of the payments ecosystem. Our purpose is to power economies and empower people across more than 210 countries and territories. We are dedicated to building a sustainable, inclusive digital economy where everyone can prosper. Through our secure data, advanced networks, and strategic partnerships, we deliver innovative solutions that help individuals, financial institutions, governments, and businesses achieve their tremendous potential. Our culture is driven by our Decency Quotient (DQ), fostering an environment of respect and collaboration.
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Position Overview
Mastercard’s LLM as a Service team is seeking a visionary Lead AI/DevOps Engineer. This critical role is designed for a technical leader passionate about leveraging artificial intelligence to redefine customer experiences. You will architect and manage the robust infrastructure that powers our large language model (LLM) services, driving innovation from concept to production. This position offers the unique opportunity to shape the future of AI within a globally impactful technology company.
Core Responsibilities & Key Focus Areas
1. AI Infrastructure Leadership & DevOps Excellence
- Spearhead DevOps initiatives within on-premise and cloud environments, ensuring high availability and performance.
- Design, deploy, and manage scalable AI infrastructure using Kubernetes, OpenShift, Docker, and Helm for orchestrating LLMs and related services.
2. Advanced AI Solution Development
- Drive the creation of proof-of-concept solutions for cutting-edge AI use cases, including Model Context Protocols (MCPs), Retrieval-Augmented Generation (RAG), and autonomous agentic workflows.
- Collaborate with infrastructure teams to optimize cloud resources for scalable, efficient, and cost-effective AI workloads.
3. Strategic Collaboration & Customer Partnership
- Work directly with internal customer teams to gather requirements, deliver tailored AI solutions, and provide expert technical support throughout the product lifecycle.
- Partner with security and governance teams to ensure all AI solutions adhere to stringent enterprise policies, regulatory standards, and privacy best practices.
4. Operational Monitoring & Technical Communication
- Utilize and manage advanced monitoring tools like Splunk, Dynatrace, Grafana, and Prometheus to ensure system reliability.
- Articulate complex technical concepts and strategic visions clearly and persuasively to diverse stakeholder groups, from engineers to executives.
The Ideal Candidate Profile
Professional Qualifications:
- Proven expertise in DevOps tools and platforms: Kubernetes (OpenShift preferred), Docker, Helm, Splunk, Dynatrace, Grafana, and Prometheus.
- Strong hands-on programming experience with Python; knowledge of GoLang is a significant advantage.
- Demonstrated experience in designing and maintaining infrastructure for AI/ML workloads, including huge language models.
- A track record of developing innovative technical solutions with a customer-centric mindset.
Personal Attributes:
- Intellectually curious, analytical, and possesses an entrepreneurial spirit.
- Mission-driven with a relentless focus on understanding and solving customer challenges.
- A solution-oriented problem-solver who proactively identifies market trends and resource gaps.
- A confident and precise communicator capable of building consensus and driving projects forward.
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Education & Experience
While specific academic degrees are not listed, successful candidates will possess substantial relevant experience in software engineering, DevOps, and artificial intelligence, typically gained through a combination of advanced education and hands-on professional roles in a technology-driven environment.
Compensation & Benefits
Mastercard offers a competitive total compensation package based on qualifications, experience, and location.
Sample Annual Base Salary Ranges:
- New York City, NY / San Francisco, CA: $168,000 – $277,000
- Arlington, VA / Boston, MA: $161,000 – $266,000
- O’Fallon, MO / Remote (CA, NY): $140,000 – $231,000
Comprehensive benefits for full-time employees include:
- Insurance (medical, dental, vision, disability, life)
- Generous paid leave (parental, bereavement, vacation, sick time)
- Retirement plans with an excellent company match
- Fitness reimbursement, tuition assistance, and more.
Corporate Security & Integrity
Every Mastercard team member is entrusted with safeguarding the company’s assets and information. All employees are expected to adhere to Mastercard’s security policies, maintain the confidentiality and integrity of data, report any security concerns, and complete mandatory security training.
Our Commitment to Inclusion
Mastercard is an equal opportunity employer that values merit and diversity. We consider all qualified applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disability, or veteran status. Reasonable accommodations are available for applicants with disabilities during the application process; please contact reasonable_accommodation@mastercard.com for assistance.
Application Instructions:
To join our team and unlock priceless possibilities, apply for this position directly through the Mastercard careers portal using Job ID R-262551. We look forward to reviewing your application.
