Senior AI Engineer
Core
Build agentic systems, internal developer tooling, and production-grade AI/ML solutions for Mastercard's enterprise platforms.
Role type
Senior IC AI Engineer (Agentic Systems & MLOps)
Builds
Agent-based applications, orchestration frameworks, scalable ML pipelines, and internal developer tooling for the AI & Data organization.
Domain
Financial services / Generative AI / MLOps
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, agent frameworks (LangGraph, LangChain, CrewAI), RAG patterns, API integration, CI/CD, Docker, Kubernetes, distributed data processing (Databricks/Spark), model deployment and monitoring
Preferred skills
MLOps tools (MLflow, Comet, Weights and Biases), agent evaluation and observability, AI-assisted development tools, internal SDK/platform development
Technologies
Python, SQL, LangGraph, LangChain, CrewAI, Docker, Kubernetes, Databricks, Spark, Jenkins, Maven, Artifactory, Git
Responsibilities
Design and build agentic systems with orchestration, tool integration, and guardrails; translate data science proofs of concept into deployable production solutions; implement scalable training pipelines and deployment frameworks; tune hyperparameters and validate model performance; monitor and version control AI systems; lead smaller projects as an experienced individual contributor
Seniority
Senior, hands-on IC