AI Software Engineer @ Mastercard
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Job Details
Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re building a sustainable economy where everyone can prosper through digital payments that are secure, simple, smart and accessible.
Title And Summary
AI Software Engineer
Overview
Mastercard’s 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. This role is ideal for an engineer early in their career who wants to learn fast, ship significant features, and grow under the mentorship of senior engineers in a regulated environment.
The Role
- Contribute to prototype efforts and deliver production-ready features.
- Build core components for Agentic AI systems including RAG, embeddings, vector search, and tool/function calling.
- Enhance model evaluation frameworks and monitor key metrics such as quality and latency.
- Collaborate on data ingestion, compliance policies, and usage contracts across teams.
- Implement observability tools, guardrails, and cost controls following secure coding practices.
All About You
You hold a BS/MS in Computer Science/Data Science or equivalent experience, are proficient in Python, REST, SQL, Git, Docker, and CI/CD workflows, and have exposure to LLMs, embeddings, RAG, and ML frameworks like PyTorch or TensorFlow. Experience with major cloud platforms, data lakes, event-driven systems, and Responsible AI practices is beneficial.
Compensation & Benefits
Competitive base salary with annual bonus or commissions, along with comprehensive benefits including insurance, retirement plans, paid leaves, and more.
Key skills/competency
- Python
- AI
- ML
- Agentic AI
- CI/CD
- Cloud
- Data ingestion
- Security
- Compliance
- Observability
How to Get Hired at Mastercard
🎯 Tips for Getting Hired
- Customize your resume: Tailor it to emphasize AI and ML skills.
- Highlight project experience: Include Agentic AI and production systems.
- Prepare technical answers: Brush up on Python, cloud, and CI/CD.
- Research Mastercard: Understand its culture, technology, and global impact.