Lead AI Engineer
Core
Design and build platform capabilities for Mastercard to adopt Model Context Protocol (MCP) and open weight AI models at scale, focusing on security gateways, identity patterns, model serving, and evaluation tooling.
Role type
Lead AI Engineer (Platform & Infrastructure)
Builds
Enterprise MCP deployment components, identity/authorization patterns, open weight model serving infrastructure, and model evaluation/testing tooling.
Domain
Financial Services / Enterprise AI / Agentic Systems
Deliverable
production ML models
Required skills
Modern AI technology (LLMs, foundation models, agents, MCP), Software engineering, MLOps, Cloud platforms (AWS preferred), Model evaluation, Open weight model serving, API security and identity access control.
Preferred skills
Databricks, Fine-tuning or adaptation to proprietary data, Financial-services regulation awareness.
Technologies
MCP, AWS, Azure, GCP, Databricks, CI/CD, Infrastructure-as-code, Containers.
Responsibilities
Design and build security gateways and MCP registry components; Implement identity, authentication, and authorization patterns for MCP; Set standards for internal and external MCP servers; Build and operate open weight model serving and scaling inference; Build evaluation and testing tooling for model quality and safety; Apply MLOps practices for reliability and observability.
Seniority
Senior, hands-on IC