AI Solutions Engineer
ButterflyMX
AWSAzureCloudGoogle Cloud Platform
Vice President, Gen AI
TASC
full-time
Posted on:
Location Type: Office
Location: New York City • New York • 🇺🇸 United States
Visit company websiteSalary
💰 $240,000 - $384,000 per year
Job Level
Lead
Tech Stack
AWSAzureCloudGoogle Cloud Platform
About the role
- Deliver GenAI tools and solutions with speed and agility as part of a small team
- Develop high-performing, highly scalable software AI and ML solutions and products for major brands
- Hands-on with developing GenAI solutions for Payment Networks including MCP server, Vibe Coding Platform and Agent AI services
- Manage the RTGS, Reporting aspect of the Customer Funds Management within Treasury Services and the teams that engineer that critical portion of Settlement
- Formally supervise and coach teams of engineers to build, enhance, and support tools, services and products to support the Payment Networks group
- Drive the implementation of Vibe Coding solutions; Model Context Protocol servers, Agentic AI solutions including Retrieval Augment Generation (RAG) solutions
- Provide strategic thinking and leadership related GenAI for Payment Networks applications and systems
- Recruit and hire talent and continuously engage and improve team performance through 1-1s and career development
- Build a strong network across the company for collaboration on technical and business solutions
- Emulate and drive Mastercard Way behaviors and own relationships with key stakeholders across Architecture and Technology, Infrastructure, and Product
Requirements
- Experience with Machine Learning Algorithms, AI and GenAI tools and processes.
- Knowledge about GenAI designs and architectural patterns including MCP (Model Context Protocol), Agentic AI, Retrieval Augment Generation (RAG) and current LLM’s
- Deep expertise in cloud-native development private (Pivotal) and public (AWS, Azure, GCP)
- Optimize for both cost as well as performance and choosing models that are optimal given the business and technology environment
- Excellent understanding of software architecture principles and design patterns
- Strong communication and interpersonal skills with the ability to influence at multiple levels
- Demonstrated ability to recruit, develop, and retain top engineering talent
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
- Hands-on experience developing GenAI solutions for Payment Networks including MCP server, Vibe Coding Platform and Agent AI services
- Experience managing RTGS and Reporting aspects of Customer Funds Management within Treasury Services and settlement systems
- Experience supervising and coaching engineering teams
- Ability to emulate and drive Mastercard Way cultural behaviors (own it, simplify it, sense of urgency, thoughtful risk-taking, unlock potential, and be inclusive)
Benefits
- insurance (including medical, prescription drug, dental, vision, disability, life insurance)
- flexible spending account and health savings account
- paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave)
- 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire
- 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
- eligibility for tuition reimbursement
- may be eligible for an annual bonus or commissions depending on the role
- competitive base salary
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Machine Learning AlgorithmsGenAI toolsGenAI designsMCP (Model Context Protocol)Agentic AIRetrieval Augment Generation (RAG)cloud-native developmentsoftware architecture principlesdesign patternscost optimization
Soft skills
strong communication skillsinterpersonal skillsinfluencerecruitmentteam developmentcoachingcareer developmentcollaborationstrategic thinkingleadership
Certifications
Bachelor’s degree in Computer ScienceMaster’s degree in Engineering
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