Staff AI Software Engineer – Platform - FanDuel Careers

FanDuel

Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$170,000–$213,000 / yr
Posted
15 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $207k
This role $192k
$151k most similar roles pay here $256k

This role pays less than 60% of similar roles. Most pay $166,950–$246,150 — the shaded band above. At the midpoint, this role pays about $192k versus about $207k for comparable roles.

Based on 240 similar postings.

Employer

About FanDuel

FanDuel is a leading online sports betting and daily fantasy sports platform operating across the United States, offering sportsbook wagering, casino games, and horse racing to millions of customers.

FanDuel currently has 4 open roles on FindRole.

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At a glance

TL;DR · Staff AI Software Engineer – Platform - FanDuel Careers

As a Staff AI Software Engineer at FanDuel, you will lead the design and operationalization of a centralized multimodal memory architecture for enterprise knowledge management. This role involves building foundational content intelligence systems that support ingestion, indexing, embeddings, metadata retrieval, lineage, governance, and auditability across various use cases. You will establish regulatory-compliant knowledge graphs and ontologies, ensuring precision and transparency in AI reasoning. Additionally, you will design secure runtime memory patterns for agents to ensure efficiency and compliance in regulated environments. Key responsibilities include championing responsible AI development by integrating safeguards and ethical standards into the platform. The ideal candidate has 7+ years of experience with distributed systems, practical fluency in generative AI tools like graph databases and RAG, and strong communication skills to influence across a matrixed organization. Experience in gaming or fintech is a plus.

What you'll do

  • Design and operationalize a centralized multimodal memory architecture for vector retrieval, knowledge graphs, ontologies, and metadata systems.
  • Lead the strategy and execution for structuring enterprise knowledge across agents, copilots, automation systems, and customer-facing AI products.
  • Establish regulatory-compliant knowledge graph strategies that create deep context about FanDuel’s products, employees, operations, customers, and systems.
  • Create secure memory patterns for AI agents to acquire, store, retrieve, update, and discard context during runtime efficiently and securely.
  • Ensure knowledge, retrieval, graph, and memory systems meet regulatory requirements, ethical standards, privacy obligations, and responsible gaming principles.

What we're looking for

  • 7+ years of engineering experience with large distributed systems.
  • Practical fluency in generative AI tools, including graph DBs and RAG.
  • Experience building or operating vector and graph databases, ontologies.
  • Track record of launching products in fast-moving, ambiguous environments.
  • Strong communication skills for both technical and non-technical stakeholders.
  • Ability to operate autonomously and influence across matrixed organizations.

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