Lead AI Software Engineer, Mastercard
AI Enablement
$168-277k
Global payments technology company
Be an early applicant
Global payments technology company
1001+ employees
Be an early applicant
$168-277k
1001+ employees
Company mission
To connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible.
Role
Who you are
- 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
What the job involves
- 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)
- 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
Our take
Mastercard is in the global payments business, and operates the world's fastest payments processing network. Its products and solutions have become central to everyday commerce across the world, in activities ranging from shopping and travelling to running businesses.
As the economy has become more and more digitised, Mastercard has been a leading player in helping businesses and individuals across the globe embrace card payments and digital banking. One of the world's largest companies, its revenue has seen consistent gain in the last 20 years.
The challenge for modern payments companies is that payments are always changing, as seen in the astronomical rise of contactless payments over the last decade. Mastercard's acquisition of blockchain systems, and an overall focus on leveraging its technology towards a digital economy, has placed the company in good stead to keep up to date with current trends, like cryptocurrency, in the digitised payments world.
Steph
Company Specialist at Welcome to the Jungle
Insights
21% employee growth in 12 months
Company
Company benefits
- Gym membership
- Share purchase options
- Extra holiday purchase optional
- Work from home opportunities
- Health insurance
Company HQ
Purchase, Harrison, NY
Leadership
Michael Miebach
(CEO)Has served in a variety of roles at the company, including President and CPO. Currently Board Member at IBM, Accion, the World Resources Institute, the US-India Strategic Partnership Forum, and the Metropolitan Opera. They are also a Trustee of USCIB.
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