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

Mastercard

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Purchase, NYArlington, VAAtlanta, GA
Salary
$195,000–$323,000 / yr
Posted
5 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $217k
This role $259k
$158k most similar roles pay here $341k

This role pays more than 76% of similar roles. Most pay $179,737–$255,125 — the shaded band above. At the midpoint, this role pays about $259k versus about $217k for comparable roles.

Based on 240 similar postings.

Employer

About Mastercard

Mastercard is a global technology company in the payments industry, processing transactions between financial institutions and merchants using its extensive network of credit, debit, and prepaid card products. Industry: Payments Technology & Financial Services

Mastercard currently has 116 open roles on FindRole.

Listed pay typically runs $122,000–$207,000 across 104 roles with salary data.

Most-posted roles

View all roles at Mastercard

At a glance

TL;DR · Director, Forward-Deployed AI Engineer, AI Mobilization & Transformation

Director, Forward-Deployed AI Engineer - AI Mobilization & Transformation serves as an embedded leader within business units to identify high-value opportunities and develop production-grade AI solutions. This role focuses on mobilizing teams to adopt new ways of working by building high-impact use cases, creating reusable playbooks, and establishing a "train-the-trainer" model for internal capability growth. The position involves designing and deploying AI assistants, agents, and multi-agent orchestration systems while coaching engineers and product managers on prompt engineering and workflow automation. Key technologies include LLMs, RAG architectures, Copilot Studio, Azure AI, GitHub Copilot, and Claude Code. The role addresses the challenge of transitioning business units from experimentation to operationalized AI solutions by implementing modern engineering practices like evaluation frameworks and observability within a complex corporate environment to drive measurable productivity gains and organizational readiness.

What you'll do

  • Identify and prioritize high-value business workflows to implement production-grade AI solutions.
  • Design and deploy multi-agent systems using Copilot Studio, Azure AI, and other orchestration frameworks.
  • Translate complex business challenges into practical applications of LLMs and agentic workflows.
  • Create reusable playbooks, reference architectures, and training assets to scale AI adoption across the enterprise.
  • Conduct hands-on workshops on prompt engineering, automation, and AI-assisted development for technical and non-technical teams.
  • Establish a "train-the-trainer" model to empower internal champions to lead local AI initiatives.
  • Document and share successful use cases, implementation patterns, and lessons learned across business units.
  • Measure and report on organizational readiness, productivity gains, and the impact of AI adoption.

What we're looking for

  • Must have at least 5 years of software engineering experience building and deploying production-grade systems.
  • Must possess deep experience with LLMs, agent frameworks, RAG architectures, orchestration patterns, and AI application development.
  • Must have experience building and deploying enterprise AI solutions that deliver measurable business outcomes.
  • Must possess strong facilitation and coaching abilities to educate both technical and non-technical audiences.
  • Must be able to translate complex technical concepts into practical business value and adoption strategies.
  • Must have a proven ability to influence organizational change and senior leaders in matrixed environments.
  • Must have experience with responsible AI, governance, risk management, and production monitoring practices.
  • Experience with Copilot Studio, Azure AI, GitHub Copilot, Claude Code, or financial services is preferred.

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