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$150,000 – $254,000
Listed on Mastercard’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Mastercard is building enterprise AI systems that automate operational workflows using large language models and multi-agent architectures. This role suits experienced ML engineers and backend systems builders who want to move beyond proof-of-concept into production-scale autonomous systems for financial operations.
Our summary, not Mastercard’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Experience building AI/ML or backend systems with modern engineering practices
- Hands-on development of LLM-powered applications and RAG pipelines
- Production-scale service delivery in distributed environments
- Proficiency in Python, APIs, and distributed systems design
- Ability to independently own and drive complex technical problems to production
Nice to have
- Experience with agentic AI systems and autonomous workflows
- Background in fintech, payments, or regulated environments
- Experience with vector or graph databases
- Cloud deployment experience