Agent memory architectures jobs

Senior AI Engineer

Mastercard · Posted Nov 3, 2026

Senior AI Engineer

Design and own the architecture for deploying and operating AI capabilities at scale, including APIs and MCP servers that enable integration with products, agents, and applications.
Develop high-performance Python backend services for LLM inference orchestration, async job handling, streaming responses, and distributed data workflows supporting high-throughput operations.
Establish robust LLMOps and MLOps pipelines on Databricks (AWS) using MLflow, feature stores, prompt evaluation frameworks, model lineage tracking, and continuous retraining workflows to ensure reliable AI delivery.
Apply traditional ML and statistical modeling (regression, clustering, forecasting, ensemble methods) in hybrid architectures alongside LLMs for interpretable, explainability-first decision systems.
Translate R&D outcomes into scalable, reliable production solutions, collaborating with researchers to integrate and validate new models and techniques while optimizing inference latency, throughput, and cost without compromising output quality.