Director, Forward-Deployed AI Engineer - AI Mobilization & Transformation
AI summary of the role
This Director role is Mastercard's embedded AI transformation leader, partnering directly with business units to identify high-value opportunities, build production-grade AI solutions, and mobilize teams to adopt new ways of working.
What you’ll do
- Embed within business units to identify strategic workflow, productivity, and decision-making opportunities where AI can create measurable value.
- Lead AI Transformation Engagements combining discovery, solution design, implementation, and capability building.
- Design and deploy production-ready AI assistants, agents, and orchestration frameworks that solve real business problems.
- Architect and implement solutions leveraging Copilot Studio, Azure AI, agent frameworks, orchestration systems, and enterprise platforms.
What you’ll bring
- 5+ years of software engineering experience with a track record of building and deploying production-grade systems.
- Deep experience with AI technologies including LLMs, agent frameworks, RAG architectures, orchestration patterns, and AI application development.
- Experience building and deploying enterprise AI solutions that deliver measurable business outcomes.
- Strong facilitation and coaching abilities, with experience educating technical and non-technical audiences.
Technologies
LLMs · agent frameworks · RAG · orchestration patterns · Copilot Studio · Azure AI · GitHub Copilot · Claude Code · multi-agent systems · AI application development
About Mastercard
Global payments network connecting issuers, acquirers, merchants, fintechs, and governments, layered with fraud, data, consulting, money movement, and digital-authentication services.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
VP of Organizational Readiness, this role combines deep technical expertise with change leadership. Rather than building solutions in isolation, you will work alongside business teams to solve real problems, demonstrate the art of the possible, and develop internal capability through hands-on engagement. Success is measured not only by the solutions delivered, but by the number of leaders, engineers, analysts, and teams equipped to independently leverage AI, agents, and multi-agent systems in their daily work. The Role 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 that combine discovery, solution design, implementation, and capability building. • Build high-impact use cases that serve as showcase
More from the job description
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Director, Forward-Deployed AI Engineer - AI Mobilization & Transformation Overview The Director, Forward-Deployed AI Engineer serves as Mastercard's embedded AI transformation leader, partnering directly with business units to identify high-value opportunities, develop production-grade AI solutions, and mobilize teams to adopt new ways of working. Reporting to the VP of Organizational Readiness, this role combines deep technical expertise with change leadership. Rather than building solutions in isolation, you will work alongside business teams to solve real problems, demonstrate the art of the possible, and develop internal capability through hands-on engagement. Success is measured not only by the solutions delivered, but by the number of leaders, engineers, analysts, and teams equipped to independently leverage AI, agents, and multi-agent systems in the [... source excerpt omitted ...] units and functions. • Identify and prioritize high-value opportunities that accelerate enterprise AI adoption and capability growth. Building While Teaching • Design and deploy production-ready AI assistants, agents, and orchestration frameworks that solve real business problems. • Use each engagement as a live learning environment where business and technical teams learn modern AI practices through delivery. • Coach engineers, analysts, product managers, and operational teams on AI-first ways of working. • Establish a "train-the-trainer" model that enables local teams to continue scaling capabilities after engagements conclude. • Facilitate hands-on workshops focused on prompt [... source excerpt omitted ...] ion approaches based on engagement outcomes and organizational learning. All About You • 5+ years of software engineering experience with a track record of building and deploying production-grade systems. • Deep experience with AI technologies including LLMs, agent frameworks, RAG architectures, orchestration patterns, and AI application development. • Experience building and deploying enterprise AI solutions that deliver measurable business outcomes. • Strong facilitation and coaching abilities, with experience educating technical and non-technical audiences. • Comfortable working directly with business stakeholders to identify opportunities and redesign workflows. • Proven abili
Employer postings · Data from · Sources