AI Transformation Lead — Forward‑Deployed Solutions

Mastercard; Purchase (NY); On-site; USD 161,000 - 266,000; Full time

Job summary

Mastercard is seeking a Manager, Forward‑Deployed AI Engineer to partner with business units, identify high‑value AI opportunities, and mobilize teams to deliver production‑grade AI solutions that scale across the enterprise. Reporting to the Director, Forward‑Deployed AI Engineer, this role blends deep technical craft with change leadership.

You will work with business teams to translate challenges into AI applications, coach engineers and product managers, and create reusable patterns and

Qualifications

• Extensive software engineering experience with production-grade systems.

Responsibilities

• Embed within business units to identify strategic AI opportunities and measurable value.
• Lead AI transformation engagements spanning discovery, solution design, implementation, and capability building.
• Build reusable playbooks, patterns, and training assets to accelerate enterprise adoption.
• Translate business challenges into practical AI applications, agents, and multi-agent orchestration.
• Coach engineers, analysts, product managers, and knowledge workers on AI-first ways of working.
• Facilitate hands-on workshops on prompt engineering, agent design, and workflow automation.
• Contribute to governance, observability, and responsible AI practices across engagements.

Skills

Software engineering

AI technologies

Coaching & training

AI adoption & change

Prompt engineering

Copilot Studio

Azure AI

GitHub Copilot

Governance & responsible AI

Tools

Copilot Studio

Azure AI

GitHub Copilot

Claude Code

Job description

Mastercard is seeking a Manager, Forward‑Deployed AI Engineer to partner with business units, identify high‑value AI opportunities, and mobilize teams to deliver production‑grade AI solutions that scale across the enterprise. Reporting to the Director, Forward‑Deployed AI Engineer, this role blends deep technical craft with change leadership.

You will work with business teams to translate challenges into AI applications, coach engineers and product managers, and create reusable patterns and