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

Mastercard

. Embed within business units to identify strategic workflow, productivity, and decision-making opportunities for AI .

Posted 11/9/2026full-timeUnited StatesMid-LevelSenior💰 $140,000 - $266,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI transformation, including the design and deployment of production-ready AI solutions, while effectively coaching and facilitating collaboration among technical and non-technical stakeholders. Proven ability to translate complex AI concepts into actionable business strategies that drive measurable outcomes.

Highest-signal resume keywords

AI Transformation EngagementsProduction-Ready AI SolutionsCoaching Technical TeamsLLMs and Agent FrameworksBusiness Stakeholder Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAI Application DevelopmentOrchestration PatternsGovernance PracticesMulti-Agent SolutionsRAG ArchitecturesProduction MonitoringWorkflow TransformationDocumentation of Implementation ApproachesMeasurable Business Outcomes

Soft Skills

Strong Facilitation AbilitiesInfluencing Organizational ChangeBuilding RelationshipsStrong Communication SkillsMentoring Technical Talent

Tools & Technologies

Copilot StudioAzure AIGitHub CopilotClaude CodeEnterprise Platforms

Certifications & Qualifications

Mandatory Security Trainings

Industry Keywords

Financial ServicesPaymentsEnterprise TransformationResponsible AIRisk Management

Tech Stack

Tools & technologies

Azure

About the role

Key responsibilities & impact

Embed within business units to identify strategic workflow, productivity, and decision-making opportunities for AI
Lead AI Transformation Engagements spanning discovery, solution design, implementation, and capability building
Build high-impact AI use cases as showcase examples for organizational adoption
Translate business challenges into practical applications of AI, agents, and multi-agent orchestration
Create reusable playbooks, patterns, and training assets
Partner with business leaders to demonstrate measurable outcomes and establish local AI champions
Design and deploy production-ready AI assistants, agents, and orchestration frameworks
Coach engineers, analysts, product managers, knowledge workers, and operational teams on AI-first ways of working
Establish train-the-trainer models and facilitate hands-on workshops
Architect and implement solutions using Copilot Studio, Azure AI, agent frameworks, orchestration systems, and enterprise platforms
Develop multi-agent solutions that automate complex business processes and decision flows
Introduce AI-assisted development, evaluation frameworks, observability, and governance practices
Establish reference architectures and repeatable patterns across business units
Evaluate emerging AI capabilities and translate them into practical business applications
Document patterns, use cases, implementation approaches, and lessons learned
Build an enterprise library of AI-enabled workflows, agents, and transformation stories
Measure adoption, productivity gains, capability growth, and business impact
Create feedback loops between field engagements, engineering teams, and organizational readiness programs

Requirements

What you’ll need

Extensive software engineering experience with a track record of building and deploying production-grade systems
Deep experience with 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 technical and non-technical audiences
Experience 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 technical and business stakeholders
Experience documenting and sharing repeatable patterns, practices, or implementation approaches
Strong communication skills for explaining AI concepts to technical and non-technical audiences
Experience driving adoption of new technologies through hands-on engagement and coaching
Experience with Copilot Studio, Azure AI, GitHub Copilot, Claude Code, or equivalent platforms preferred
Financial services, payments, or enterprise transformation experience preferred
Must complete periodic mandatory security trainings
Must abide by Mastercard security policies and practices and protect confidential information

Benefits

Comp & perks

Annual bonus or commissions may be available depending on the role
Medical, prescription drug, dental, vision, disability, and life insurance
Flexible spending account and health savings account
16 weeks of new parent leave
Up to 20 days of bereavement leave
80 hours of Paid Sick and Safe Time
25 days of vacation time
5 personal days
10 annual paid U.S. observed holidays
401k with a best-in-class company match
Deferred compensation for eligible roles
Fitness reimbursement or on-site fitness facilities
Tuition reimbursement eligibility