Senior AI Engineer
Core
Architect and deliver next-generation LLM, agentic, and multimodal AI systems to transform complex data into business intelligence for Mastercard's Operational Intelligence Program.
Role type
Senior IC Generative AI & ML Engineer
Builds
Production-grade agentic orchestration, RAG, and multimodal pipelines for enterprise decision-making
Domain
Financial services / Generative AI / Large Language Models
Deliverable
production ML models
Required skills
LLM application architecture, agentic system design, RAG implementation, LLM fine-tuning, Python backend engineering, cloud AI infrastructure, MLOps/LLMOps, vector databases, knowledge graphs
Preferred skills
Traditional ML/statistical modeling, responsible AI governance, cross-modal intelligence
Technologies
LangGraph, CrewAI, AutoGen, Pinecone, Neo4j, AWS Neptune, Databricks, MLflow, PyTorch, FastAPI, AWS SageMaker, Bedrock, Azure OpenAI, GCP Vertex AI, Hugging Face, OpenAI, Anthropic, Gemini, LLaMA, Mistral
Responsibilities
Architect multi-agent AI systems; Design multimodal generative AI pipelines; Build production-grade RAG and Graph-RAG systems; Lead LLM fine-tuning and alignment; Establish LLMOps and MLOps pipelines; Develop high-performance Python backend services; Engineer state and memory management subsystems; Implement Responsible AI and governance practices; Apply traditional ML in hybrid architectures; Research and productionize advancements in generative modeling
Seniority
Senior, hands-on IC
