Lead AI Software Engineer- AI Enablement

Mastercard•O'fallon, MO

1d•Onsite

About The Position

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).

Requirements

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.

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 parters, 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

Benefits

insurance (including medical, prescription drug, dental, vision, disability, 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
eligibility for tuition reimbursement