Gen AI Platform Lead Software Engineer

Our Purpose

We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.

Title and Summary

Gen AI Platform Lead Software Engineer

Overview

The Mastercard Cloud Team, in Mastercard’s ONE division, owns and drives cloud usage and adoption for the company. The team has a unique opportunity to drive cloud patterns, standards, and best practices across all of Mastercard and their M&A’s. The cloud team has a unique opportunity to be at the forefront of an evolving landscape of technology at Mastercard and help shape the future of development, deployment and more!

This cloud engineering role is focused on building a holistic platform for Generative AI Large Language Models (LLMs).

Role

1. Design, configure, and implement a Gen. AI platform, including MLOps/LLMOps for Gen. AI LLMs, both commercial and open source.
2. Ensure alignment to appropriate patterns and standards for cloud integration and automation.
3. Identify opportunities for reuse and improved efficiency.
4. Engage with IT and Business partners, product owners, and stakeholders to create meaningful roadmaps to ensure the most important work is prioritized.
5. Champion all Mastercard's engineering principles.
6. Actively participate as a member of the Software Engineering Guild sharing your knowledge, best practices, ideas, and passion for technology.
7. Help identify and drive meaningful behavior-changing metrics.

All About You

1. Deep understanding of cloud providers including AWS and Azure, especially:

• Experience with AI and GenAI-related cloud services, especially: AWS SageMaker, AWS Bedrock, Azure ML. This should include common commercial Foundational Models (FM) from OpenAI, Anthropic, etc., as well as open-source LLM models deployed in the cloud.
• Services, access controls, integration and automation.

• Model evaluation.
• Model API patterns and implementations.
• Model governance.
• Retrieval augmented generation.
• Orchestration.
• Prompt libraries.
• Agents.
• Tools/functions.
• Prompt/tuning.
• Chunking methods.
• Vector stores/DBs/embeddings.
• Foundational LLM models (commercial and open source).
• Model hubs.
• Fine-tuned models.

Mastercard is an inclusive equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• Abide by Mastercard’s security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach;
• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance), flexible spending account and health savings account, paid leaves (including 16 weeks new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 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, eligibility for tuition reimbursement, gender-inclusive benefits and many more.