Staff AI Software Engineer - Platform

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

$170K-$213K not verified - source not recorded; timestamp not recorded

401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

64% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Staff AI Software Engineer - Platform Atlanta, Georgia, United States 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. THE GAME PLAN Everyone on our team has a part to play 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

Read the full description at www.fanduel.careers. FewerJobs shows a source-linked preview and links to the original posting.