Staff AI Software Engineer - Platform

FanDuel • New York City, NY

4d • Hybrid

About The Position

Our roster has an opening with your name on it As the senior-most technical Knowledge & Context Engineer, you will design and operationalized a centralized multimodal memory architecture spanning vector retrieval, knowledge graphs, ontologies, metadata systems, runtime memory injection, and lineage and governance frameworks. This role sits at the intersection of AI engineering, distributed systems, and applied intelligence. You will lead the strategy and execution for how enterprise knowledge is structured, represented, governed, retrieved, and operationalized across agents, copilots, automation systems, and customer-facing AI products. Importantly, you will sit at the cutting edge of building the cognitive substrate for an AI-native enterprise. Come join us as a hands-on thought leader who innovates by doing. In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

Requirements

• 7+ years of engineering experience, preferably working with large distributed systems that support a mix of data and software development activities.
• Track record of taking products from concept to launch in fast-moving, ambiguous environments.
• Practical fluency with generative AI tools and concepts—especially graph, RAG, AgenticRAG, fine-tuning, and anti-RAG patterns
• Experience building or operating vector and graph DBs, otnology, semantic search, and runtime memory evaluations
• Ability to operate autonomously, create clarity from ambiguity, and influence across a matrixed organization.
• Strong communication skills—able to translate AI concepts into clear value narratives for both technical and non-technical stakeholders.
• High ownership mindset with a bias for action and outcomes over outputs.

Nice To Haves

• Bonus to consulting engineers and people with experience on early start up teams
• For bonus points, experience and background in gaming, fintech, marketplace, or other regulated industries.

Responsibilities

• Build foundational content intelligence systems: Design systems for ingestion, indexing, embeddings, metadata, retrieval, lineage, governance, and auditability that can support both internal and customer-facing AI use cases. This includes customers, media and marketing assets, product features, production code, websites, game sounds, customer service experiences, operational workflows, and other enterprise content.
• Establish enterprise knowledge graphs and ontologies: Define and implement a regulatory-compliant knowledge graph strategy that creates deep context about FanDuel’s products, employees, operations, customers, and systems. Own the design of graph databases, semantic models, ontologies, entity resolution patterns, and relationships across vector and non-vector data. Build the connective tissue that allows AI systems and agents to reason over enterprise context with precision, transparency, and control.
• Build the connective tissue that allows AI systems and agents to reason over enterprise context with precision, transparency, and control.
• Design secure memory patterns for agents: Create reusable design patterns for how AI agents acquire, store, retrieve, update, and discard context during runtime. This includes short-term memory, long-term memory, episodic memory, summarization, context injection, retrieval augmentation, and governed memory sharing across tools and systems. Ensure memory systems are efficient, secure, auditable, and appropriate for regulated environments.
• Champion responsible AI development: Ensure knowledge, retrieval, graph, and memory systems meet regulatory requirements, ethical standards, privacy obligations, and responsible gaming principles. Build safeguards, access controls, provenance, explainability, monitoring, and auditability into the platform from day one.

Benefits

• array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits.
• generous paid time off (PTO & sick leave)
• annual bonus and long-term incentive opportunities (based on performance)
• 401k with up to a 5% match
• commuter benefits
• pet insurance
• medical, vision, and dental insurance
• life insurance
• disability insurance
• paid personal time off
• 14 paid company holidays
• paid sick time in accordance with all applicable state and federal laws

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed