Senior AI Engineer
Core
Design, build, and scale foundational AI capabilities and large language model (LLM) ensembles to power analytics, insights, and enterprise-level data operations.
Role type
Senior hands-on AI/ML engineer (LLM & GenAI)
Builds
Scalable LLM inference orchestration, agentic systems, RAG pipelines, and hybrid ML architectures for Mastercard's analytics and insights solutions.
Domain
Financial services / Generative AI / Large Language Models
Deliverable
production ML models
Required skills
LLM application development, agentic system design, RAG pipeline construction, Python backend engineering, cloud AI infrastructure, MLOps/LLMOps, traditional ML/statistical modeling, SQL
Preferred skills
MCP server development, prompt engineering, vector embeddings, semantic search, agent memory architectures
Technologies
Python, Databricks, AWS, MLflow, OpenAI, Anthropic, Gemini, Hugging Face, LLaMA, Mistral, Falcon, Git, Jira
Responsibilities
Design architecture for deploying AI capabilities at scale; Develop high-performance Python backend services for LLM inference; Establish LLMOps and MLOps pipelines; Apply traditional ML alongside LLMs for explainable decision systems; Translate R&D outcomes into production solutions; Research and productionize advancements in generative modeling and agentic AI; Lead solutions through security and architecture reviews.
Seniority
Senior, hands-on IC
