Manager, Forward-Deployed AI Engineer — AI Mobilization & Transformation

Mastercard
New York, Virginia, Atlanta
Workplace: OnsiteFull timeUSD 161,000 - 266,000 annuallyFunction: Data Science & Machine LearningSkills: ["Facilitation","Coaching","Stakeholder management","Mentoring","Communication"]

Serve as an embedded AI transformation leader partnering with business units to identify high-value workflow opportunities and deliver production-grade AI solutions. Lead end-to-end AI transformation engagements—discovery, solution design, implementation, and capability building—while creating reusable playbooks and showcase use cases. Coach engineers, analysts, product managers, and operational teams on AI-first ways of working using assistants, agents, multi-agent orchestration, and Copilot practices to scale organizational adoption.

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FursaFursa
Mastercard
Mastercard
1 month ago

Manager, Forward-Deployed AI Engineer — AI Mobilization & Transformation

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Status: Live

Job Summary

Serve as an embedded AI transformation leader partnering with business units to identify high-value workflow opportunities and deliver production-grade AI solutions. Lead end-to-end AI transformation engagements—discovery, solution design, implementation, and capability building—while creating reusable playbooks and showcase use cases. Coach engineers, analysts, product managers, and operational teams on AI-first ways of working using assistants, agents, multi-agent orchestration, and Copilot practices to scale organizational adoption.
Location: New York, Virginia, Atlanta
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Embed within business units to identify strategic workflow, productivity, and decision-making opportunities for measurable AI value.
  • •Lead AI transformation engagements from discovery through solution design, implementation, and capability building.
  • •Design and deploy production-ready AI assistants, agents, and orchestration frameworks to solve real business problems.
  • •Coach engineers, analysts, product managers, knowledge workers, and operational teams on AI-first ways of working, including workshops and a train-the-trainer model.
  • •Document patterns and lessons learned, build an enterprise library of AI-enabled workflows, and measure adoption and business impact to scale organizational learning.

Pay and Benefits

Salary: USD 161,000 - 266,000 annually
Perks:Health InsuranceDentalVision401kPaid Leave

Key Requirements

  • •Extensive software engineering experience delivering 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 skills for educating both technical and non-technical audiences.
  • •Strong understanding of responsible AI, governance, risk management, and production monitoring practices.
Experience:Enterprise transformationFinancial servicesPayments
Skills:FacilitationCoachingStakeholder managementMentoringCommunication
Tech Stack:Copilot StudioAzure AILLMsAgent frameworksRAGOrchestration patternsMulti-agent systemsPrompt engineeringWorkflow automationObservabilityGovernanceGitHub CopilotClaude CodeAI-assisted software development

Company Brief

Mastercard
Mastercard is a global payments and technology company that processes transactions, provides fraud prevention and data services, and builds payment infrastructure for consumers, businesses, merchants and governments across 200+ countries.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Purchase, New York, United States
Founded: 1966
Glassdoor
Glassdoor: 4.1
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