Director, Forward-Deployed AI Engineer - AI Mobilization & Transformation

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.

Create reusable playbooks, patterns, and training assets that accelerate adoption across the enterprise.

Partner with business leaders to demonstrate measurable outcomes and establish local AI champions.

Develop repeatable transformation approaches that can be scaled across multiple business 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 engineering, agent design, workflow automation, Copilot practices, and AI-assisted development.

Develop internal champions capable of independently driving AI adoption and solution delivery.

Promote knowledge sharing and adoption of best practices across teams and business units.

Advancing Agentic Transformation

Architect and implement solutions leveraging Copilot Studio, Azure AI, agent frameworks, orchestration systems, and enterprise platforms.

Develop multi-agent solutions that automate complex business processes and decision flows.

Introduce modern engineering practices including AI-assisted software development, evaluation frameworks, observability, and governance.

Establish proven reference architectures and patterns that can be replicated across business units.

Help business teams evolve from experimentation to operationalized AI solutions.

Partner with engineering and business leaders to drive scalable adoption of agentic solutions across the enterprise.

Evaluate emerging AI capabilities and identify opportunities to apply them to business challenges.

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 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 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.
• Experience developing scalable frameworks, playbooks, or best practices that enable broader organizational adoption.
• Strong executive communication skills with the ability to align technical solutions to business priorities and 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.
• Passion for developing others and creating sustainable capability within organizations.

Success in This Role

You Leave Behind New organizational capability.

New organizational capability.

Repeatable AI patterns.

Trained champions and practitioners.

Demonstrated business value.

Sustainable adoption of AI-first ways of working.

Scalable transformation practices that can be replicated across business units.

Stronger organizational readiness and confidence in applying AI to business challenges.

Corporate Security Responsibility

Abide by Mastercard’s security policies and practices.

Ensure the confidentiality and integrity of the information being accessed.

Report any suspected information security violation or breach.

Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.