Mastercard · 9 hours ago
Lead AI Software Engineer- AI Enablement
Mastercard is a global leader in digital payments, empowering people and businesses worldwide. The Lead AI Software Engineer for AI Enablement will design and implement a Generative AI platform, ensuring cloud integration and automation while collaborating with IT and business partners to drive meaningful project roadmaps.
FinanceFinancial ServicesInformation TechnologyPayments
Responsibilities
Design, configure, and implement a Gen. AI platform, including MLOps/LLMOps for Gen. AI LLMs, both commercial and open source
Ensure alignment to appropriate patterns and standards for cloud integration and automation
Identify opportunities for reuse and Improved efficiency
Engage with IT and Business partners, product owners and stakeholders to create meaningful roadmaps to ensure the most Important work Is prioritized
Champion all Mastercards engineering principles
Actively participate as a member of the Software Engineering Guild sharing your knowledge, best practices, ideas, and passion for technology
Help Identify and drive meaningful behavior changing metrics
Qualification
Required
Years of professional lead software engineering experience is required with deep expertise in AWS and Azure, including AI/GenAI services (SageMaker, Bedrock, AgentCore Azure ML, Microsoft Foundry) and commercial/open source foundation models
Strong cloud architecture skills: services, access controls, automation, integrations, and security in regulated environments
Solid understanding of MCP protocol, and deployment of MCP servers at scale
Solid understanding of AI Agents, and deployment of agents at scale, managing context window size, security controls, A2A protocol
Extensive GenAI/LLM experience: model evaluation, governance, tuning, API patterns, orchestration, agents, RAG, prompt engineering, chunking, embeddings, vector stores, model hubs, and fine tuned/open source models
Experience with AI/data platforms (Databricks, Iceberg, S3, watsonx, or similar) and GenAI developer tools (GitHub Copilot, Amazon Q, Claude)
Solid background in AI/ML, data science, and analytics
Strong SRE mindset with experience building resilient, observable, automated cloud solutions
Proficient in web service design, containerization, ephemeral architectures, and Kubernetes (native and managed)
Proven ability to deliver solutions in complex multi domain environments and clearly communicate technical concepts
Experience mentoring engineers through pairing, code reviews, and design reviews
Skilled in cloud native modernization and migration from legacy systems
Effective in navigating large organizations; strong written and verbal communication
Deep understanding of Agile/Scrum, Waterfall, and full SDLC processes
Advocates for standard software patterns, reuse of common libraries, open source contribution, and strong performance engineering practices
Familiar with development productivity metrics and methods to improve velocity, quality, and release frequency
Proficient in CDK, Bicep, and Terraform
Confident in public speaking, presentation, and ability to articulate complex topic to wide audience
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
56 hours of Paid Sick and Safe Time
Jury duty leave
On-site fitness facilities in some locations
Company
Mastercard
Mastercard is a financial network that processes payments between banks and cardholders.
H1B Sponsorship
Mastercard has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (540)
2024 (319)
Funding
Current Stage
Public CompanyTotal Funding
unknown2006-05-25IPO
Leadership Team
Recent News
2026-01-25
2026-01-23
Company data provided by crunchbase