Principal Forward-Deployed AI Engineer

Mastercard

O’Fallon (MO)

On-site

USD 170,000 - 281,000

Full time

25 hours ago
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Benefits offered by this job

Health insurance
401(k) with company match
Paid time off
Tuition reimbursement
On-site fitness facilities

Job summary

Mastercard is seeking a hands-on Principal Forward Deployed Engineer to accelerate delivery within Mastercard Services. Youwill deploy into Services programs as an internal partner, writing production code, removing blockers, and applying AI-first practices.

You will move fluidly across engagements, delivering measurable outcomes while upskilling teams. The role emphasizes AI-enabled engineering, modern architectures, and knowledge transfer to ensure teams remain self-sufficient after

Qualifications

  • Hands-on software engineering experience shipping production-grade systems.
  • Advanced experience with containerization and orchestration across cloud environments.
  • Deep experience building with AI and agentic solutions, including LLMs, RAG, and agent frameworks.
  • Breadth across languages, frameworks, domains, and codebases.
  • Strong development practices: CI/CD, automation, testing and tooling.

Responsibilities

  • Embed directly into Services product and engineering teams, shipping features and code.
  • Provide surge engineering capacity during critical delivery spikes.
  • Diagnose bottlenecks across architecture, performance, and delivery processes.
  • Stand up new capabilities and transfer them to the product team.
  • Move across Services to align effort with priorities.

Skills

Software engineering
Docker/Kubernetes
AI/LLMs
CI/CD
Cloud-native
Communication

Tools

GitHub Copilot
Claude Code
Copilot Studio
Azure AI

Job description

Mastercard is seeking a hands-on Principal Forward Deployed Engineer to accelerate delivery within Mastercard Services. Youwill deploy into Services programs as an internal partner, writing production code, removing blockers, and applying AI-first practices.

You will move fluidly across engagements, delivering measurable outcomes while upskilling teams. The role emphasizes AI-enabled engineering, modern architectures, and knowledge transfer to ensure teams remain self-sufficient after

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