Enterprise AI Transformation Lead (Onsite)

Mastercard Inc.; Arlington (VA); On-site; USD 161,000 - 266,000; Full time

Benefits offered by this job

Insurance including medical, dental, 视

Flexible spending account and health-s

Paid leaves including 16 weeks of new

Job summary

Mastercard Inc. in Arlington, VA is seeking a hands‑on AI Transformation leader to drive embedding AI across business units, from discovery to production delivery.

You will develop high‑impact AI use cases, design multi‑agent orchestration, and build reusable playbooks and training assets to accelerate enterprise adoption. The role requires deep software engineering and experience with LLMs, agent frameworks, and governance.

Qualifications

• Extensive software engineering experience with a track record 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, including experience educating technical and non‑technical audiences.
• Comfort working directly with business stakeholders to identify opportunities and redesign workflows.
• Proven ability to influence organizational change through hands‑on partnership and delivery.
• Experience mentoring and developing technical talent through real‑world project engagements.
• Strong understanding of responsible AI, governance, risk management, and production monitoring practices.
• Ability to translate complex technical concepts into practical business value and adoption strategies.
• Experience supporting cross‑functional initiatives combining AI adoption, workflow transformation, and capability development.
• Demonstrated ability to build relationships and influence stakeholders across technical and business teams.
• Experience documenting and sharing repeatable patterns, practices, or implementation approaches.
• Strong communication skills explaining AI concepts to both technical and non‑technical audiences.
• Experience driving adoption of new technologies through hands‑on engagement and coaching.

Responsibilities

• Embed within business units to identify strategic workflow, productivity, and decision‑making opportunities where AI can deliver measurable value.
• Lead AI Transformation engagements from discovery through solution design, implementation, and capability building.
• Develop high‑impact showcase use cases that support broader organizational adoption.
• Translate business challenges into practical applications of AI, agents, and multi‑agent orchestration.
• Create reusable playbooks, patterns, and training assets to accelerate enterprise adoption.
• Partner with business leaders to demonstrate measurable outcomes and establish local AI champions.
• Support identification and delivery of high‑value AI opportunities across business functions.
• Contribute reusable assets and implementation patterns that speed up future engagements.
• Design and deploy production‑ready AI assistants, agents, and orchestration frameworks for real business problems.
• Use each engagement as a live learning environment where business and technical teams build modern AI practices through delivery.
• Coach engineers, analysts, product managers, knowledge workers, and operational teams on AI‑first ways of working.

Skills

Software engineering

AI technologies

Facilitation and coaching

Stakeholder influence

Mentoring technical talent

Responsible AI & governance

Communication skills

Tools

Copilot Studio

Azure AI

GitHub Copilot

Claude Code

Job description

Mastercard Inc. in Arlington, VA is seeking a hands‑on AI Transformation leader to drive embedding AI across business units, from discovery to production delivery.

You will develop high‑impact AI use cases, design multi‑agent orchestration, and build reusable playbooks and training assets to accelerate enterprise adoption. The role requires deep software engineering and experience with LLMs, agent frameworks, and governance.