AI Transformation Leader, Embedded Solutions & Adoption

Mastercard

Purchase (NY)

On-site

USD 195,000 - 323,000

Full time

14 days+

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Job summary

Mastercard is seeking a Director, Forward-Deployed AI Engineer to lead embedded AI transformation across business units in the United States. You will identify high-value opportunities, design production-grade AI solutions, and mobilize teams to adopt new AI-enabled workflows.

You will partner with leadership to scale adoption, develop internal capability, and measure impact through enabled agents and orchestration across domains.

Qualifications

  • 5+ years of software engineering experience with production-grade systems.
  • Deep experience with AI technologies including LLMs, agents, and orchestration.
  • Experience delivering enterprise AI solutions with measurable business impact.
  • Strong facilitation and coaching abilities for technical and non-technical audiences.
  • Ability to align technical solutions with business priorities and outcomes.

Responsibilities

  • Embed within business units to identify strategic AI opportunities with measurable value.
  • Lead AI transformation engagements from discovery to capability building.
  • Develop repeatable transformation approaches and playbooks for adoption.
  • Coach engineers, analysts, product managers, and ops teams on AI-first practices.
  • Architect multi-agent solutions and orchestration frameworks for production use.

Skills

Software engineering
AI technologies
Enterprise AI
Stakeholder engagement
Mentoring

Tools

Copilot Studio
Azure AI
GitHub Copilot
Claude Code

Job description

Mastercard is seeking a Director, Forward-Deployed AI Engineer to lead embedded AI transformation across business units in the United States. You will identify high-value opportunities, design production-grade AI solutions, and mobilize teams to adopt new AI-enabled workflows.

You will partner with leadership to scale adoption, develop internal capability, and measure impact through enabled agents and orchestration across domains.

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