Manager, Forward-Deployed AI Engineer — AI Mobilization & Transformation
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
Job description
The full responsibilities and requirements are on the employer’s site.
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Internal deployment & tooling · Evidence for this classification:
Director, Forward-Deployed AI Engineer - AI Mobilization & Transformation, 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
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 Manager, Forward-Deployed AI Engineer — AI Mobilization & Transformation Overview The Manager, 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 Director, Forward-Deployed AI Engineer - AI Mobilization & Transformation, 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 A [... source excerpt omitted ...] opportunities across business functions. • Contribute reusable assets and implementation patterns that accelerate future engagements. 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, knowledge workers, 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 [... source excerpt omitted ...] arned to improve future AI transformation efforts across the organization. All About You • Extensive 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
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