Lead AI Platform Engineer
Core
Lead the design, development, and evolution of Mastercard's enterprise AI platform to enable teams to build, deploy, and operate AI and Generative AI solutions at scale.
Role type
Lead AI Platform Engineer (Enterprise)
Builds
Enterprise AI platform, reusable services, tools, and frameworks for AI solution delivery
Domain
Financial Technology / Enterprise AI / Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Python, Kubernetes, Docker, Microservices, Infrastructure as Code, Cloud Platforms (AWS/Azure/GCP), MLOps, LLMOps, LLMs, RAG, Vector Databases, Model Serving, AI Orchestration, Platform Engineering, DevOps, CI/CD, Observability, Reliability Engineering, Security Governance
Preferred skills
Experience leading and mentoring engineering teams, Experience with AgenticOps, Experience with Responsible AI implementation
Technologies
Kubernetes, Docker, Python, AWS, Azure, Google Cloud Platform, Vector Databases, Model Registries
Responsibilities
Design and evolve the enterprise AI platform; Manage and mentor a team of AI Engineers; Define the technical roadmap for AI platform capabilities; Build and maintain shared AI services (model serving, inference APIs, feature stores); Establish enterprise standards for MLOps and LLMOps; Design cloud-native AI infrastructure; Ensure platform high availability, scalability, and cost optimization; Partner with Data Scientists to productionize AI solutions; Collaborate with Security teams on governance and compliance; Drive platform reliability through monitoring and incident management; Evaluate and integrate emerging AI technologies.
Seniority
Senior, hands-on IC with leadership responsibilities
