AI Systems Architect & Technical Strategy Lead

Mastercard

Bray (OK)

On-site

USD 180,000 - 240,000

Full time

3 days ago
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Job summary

Mastercard seeks a Level 5 Principal Engineer to lead technology and architecture within BET, embedded in sourcing and delivery. You will shape opportunity hypotheses, evaluate tech trends, and drive AI-enabled capabilities across initiatives.

You will mentor engineers, influence architectural decisions, and ensure alignment with security, scale, and enterprise standards while collaborating with product, data, and engineering teams worldwide.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
  • 8+ years of distributed, production-grade software development in an agile environment.
  • Strong backend experience with Java, Kotlin, Python, Scala, or equivalent.
  • Experience guiding architecture for large, multi-team platforms.
  • Experience with AI/LLM-enabled workflows and secure, scalable systems.

Responsibilities

  • Serve as senior technology and architecture advisor for new business opportunities.
  • Partner with product, business, sourcing, and engineering to shape hypotheses and business cases.
  • Evaluate ideas, market signals, and technology trends for opportunities.
  • Support design and evolution of agentic and AI-enabled capabilities and workflows.
  • Assess build/partner/invest/discard pathways with clear technical recommendations.
  • Mentor engineers and contribute to engineering standards and decisions.

Skills

Distributed systems
Backend engineering
Java
Kotlin
Python
Scala
API design
Cloud platforms
AI integration
Security and identity
Mentoring
Cross-functional collaboration
Communication

Education

Bachelor's degree in CS/Engineering

Tools

AWS
Spark
SQL
Databricks
Snowflake

Job description

Mastercard seeks a Level 5 Principal Engineer to lead technology and architecture within BET, embedded in sourcing and delivery. You will shape opportunity hypotheses, evaluate tech trends, and drive AI-enabled capabilities across initiatives.

You will mentor engineers, influence architectural decisions, and ensure alignment with security, scale, and enterprise standards while collaborating with product, data, and engineering teams worldwide.

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