Lead AI Engineer
Mastercard2 days ago
Dublin, IrelandStaff+
Responsibilities
- Design and build components of Mastercard’s enterprise MCP deployment, including security gateways, MCP registries, and reference server implementations.
- Implement authentication, authorization, identity, and access-control patterns for MCP services, agents, tools, and data.
- Define and apply standards for exposing, discovering, and versioning MCP tools and data, including inspection, data protection, rate limiting, and kill-switch controls.
- Build, package, operate, and scale self-hosted inference for open-weight models and support workload portability across models and providers.
- Develop evaluation and testing tooling to benchmark model quality, cost, latency, and safety and produce reproducible governance evidence.
- Apply MLOps practices including infrastructure-as-code, observability, service monitoring, and model monitoring to maintain production reliability.
- Partner with security, privacy, legal, AI governance, MCP SIG, and open-weight working groups to implement platform requirements.
Requirements
- Strong knowledge of LLMs, foundation models, agents, and protocols such as MCP.
- Strong software engineering skills building production-quality, well-tested services.
- Solid MLOps experience with CI/CD, infrastructure-as-code, containers, observability, and production monitoring.
- Good cloud platform knowledge; AWS is preferred, while Azure or GCP experience is valuable.
- Experience building model-evaluation benchmarks and tests measuring quality, cost, latency, and safety.
- Hands-on experience serving, self-hosting, and scaling open-weight models; fine-tuning or adapting models to proprietary data is desirable.
- Working knowledge of API security, identity, and access control, including authentication and authorization implementation.
- Awareness of AI governance topics including model provenance, licensing, data sovereignty, and financial-services regulation.
- Strong communication, collaboration, curiosity, learning agility, and self-directed execution.
Tech Stack
Categories
About Mastercard
Mastercard builds and operates a global payments network used by banks, merchants, fintechs, and governments, offering card processing, real-time payments, tokenization, and fraud/risk services. It generates revenue from transaction processing and assessment/service fees across more than 200 countries and territories. Founded in 1966 and headquartered in Purchase, New York, Mastercard is a public company listed on the NYSE (ticker: MA).