Director of Forward-Deployed AI Engineer (AI Mobilization & Transformation)

Join Mastercard as the Director of Forward-Deployed AI Engineer, where you will lead AI transformation initiatives across business units, develop production-grade AI solutions, and mobilize teams to adopt new ways of working. You will work closely with business leaders to identify high-value opportunities, design and deploy AI solutions, and create reusable playbooks and training assets. Your success will be measured by the number of teams equipped to leverage AI in their daily work and the measurable outcomes achieved through AI adoption.

• Mobilizing AI Adoption Through Bespoke Engagements: Embed within business units to identify strategic workflow, productivity, and decision-making opportunities where AI can create measurable value.
• Lead AI Transformation Engagements: Combine discovery, solution design, implementation, and capability building to drive AI transformation.
• Develop repeatable transformation approaches: Create reusable playbooks, patterns, and training assets that accelerate adoption across the enterprise.
• Strong executive communication skills with the ability to align technical solutions to business priorities and outcomes
• Deep experience with AI technologies including LLMs, agent frameworks, RAG architectures, orchestration patterns, and AI application development
• Ability to translate complex technical concepts into practical business value and adoption strategies
• Strong understanding of responsible AI, governance, risk management, and production monitoring practices
• Proven ability to influence organizational change through hands-on partnership and delivery
• Experience leading complex, cross-functional initiatives that combine technology adoption, organizational change, and business transformation
• Demonstrated ability to influence senior leaders and stakeholders across highly matrixed organizations
• Comfortable working directly with business stakeholders to identify opportunities and redesign workflows
• Strong facilitation and coaching abilities, with experience educating technical and non-technical audiences
• 5+ years of software engineering experience with a track record of building and deploying production-grade systems
• Experience building and deploying enterprise AI solutions that deliver measurable business outcomes
• Experience driving adoption of new technologies through hands-on engagement, education, and change leadership
• Experience with Copilot Studio, Azure AI, GitHub Copilot, Claude Code, or equivalent platforms preferred
• Financial services, payments, or enterprise transformation experience preferred
• Experience developing scalable frameworks, playbooks, or best practices that enable broader organizational adoption
• Experience mentoring and developing technical talent through real-world project engagements