Senior AI Engineer

Mastercard
Missouri
Workplace: OnsiteFull timeUSD 115,000 - 184,000 annuallyFunction: Data Science & Machine LearningSkills: ["Analytical","Communication","Stakeholder management","Engineering leadership","Cross-functional collaboration"]

Design and lead production-grade generative AI systems for operational intelligence, architecting multi-agent, multimodal, and agentic solutions. Build RAG and Graph-RAG pipelines with vector databases and knowledge graphs, fine-tune and align foundation models, and establish reliable LLMOps/MLOps on Databricks. Develop high-performance Python services for LLM inference orchestration and implement Responsible AI governance for secure, scalable deployment.

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FursaFursa
Mastercard
Mastercard
1 month ago

Senior AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Status: Live

Job Summary

Design and lead production-grade generative AI systems for operational intelligence, architecting multi-agent, multimodal, and agentic solutions. Build RAG and Graph-RAG pipelines with vector databases and knowledge graphs, fine-tune and align foundation models, and establish reliable LLMOps/MLOps on Databricks. Develop high-performance Python services for LLM inference orchestration and implement Responsible AI governance for secure, scalable deployment.
Location: Missouri
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Architect and lead multi-agent AI systems using frameworks such as LangGraph, CrewAI, and AutoGen for autonomous reasoning and tool use.
  • •Design and operationalize multimodal generative AI pipelines across text, image, tabular, and graph data using transformer-based architectures.
  • •Build production-grade RAG and Graph-RAG systems integrating vector databases and knowledge graphs for grounded generation.
  • •Lead LLM fine-tuning, prompt engineering, and alignment strategies including RLHF, PEFT, LoRA, and instruction tuning.
  • •Establish robust LLMOps/MLOps pipelines on Databricks and implement Responsible AI governance, including bias detection and safety guardrails.

Pay and Benefits

Salary: USD 115,000 - 184,000 annually
Perks:Health InsuranceDentalVisionLife InsuranceDisability Insurance401kPaid LeaveParental LeavePaid Holidays

Key Requirements

  • •Master’s or Bachelor’s degree in Computer Science, AI/ML, or Engineering, with hands-on experience delivering complex Gen AI or ML engineering programs in production.
  • •Expert hands-on experience building and deploying LLM applications, agentic systems, and RAG pipelines from prototype to production.
  • •Deep proficiency with LLM ecosystems including OpenAI, Anthropic, Gemini, Hugging Face, LangChain/LangGraph, and open-source foundation models (LLaMA, Mistral, Falcon, etc.).
  • •Strong command of Gen AI engineering patterns including prompt engineering, tool/function calling, vector embeddings, semantic search, and agent memory architectures.
  • •Excellent Python engineering (async, APIs with FastAPI) plus SQL proficiency, and experience with cloud AI infrastructure and MLOps/LLMOps tooling (e.g., MLflow).
Education:
Skills:AnalyticalCommunicationStakeholder managementEngineering leadershipCross-functional collaboration
Tech Stack:PythonLangGraphCrewAIAutoGenBERTCLIPLLaVAT5WhisperGPT-4oGeminiOpenAIAnthropicHugging FaceLangChainLLaMAMistralFalconPineconePgvector

Company Brief

Mastercard
Mastercard is a global payments and technology company that processes transactions, provides fraud prevention and data services, and builds payment infrastructure for consumers, businesses, merchants and governments across 200+ countries.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Purchase, New York, United States
Founded: 1966
Glassdoor
Glassdoor: 4.1
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