Mastercard

1 week ago

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

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: 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: 4.1

Website LinkedIn Glassdoor

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Mastercard

1 week ago

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

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

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

Company Brief

Mastercard

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: 4.1

Website LinkedIn Glassdoor