AI Architect: Semantic Data & Knowledge Graphs

MLS Soccer league; City of Niagara Falls (NY); Hybrid; USD 235,000 - 260,000; Full time

Benefits offered by this job

Comprehensive medical, dental, and vision coverage

$500 wellness reimbursement

Generous Holiday and PTO schedule

Career and professional development opportunities

Job summary

The MLS Soccer League is seeking a Principal AI/ML Engineer to develop advanced AI infrastructure to enhance fan experiences. This role focuses on designing semantic systems to manage complex data interactions, applying LLM technologies and creating production-grade services.

With responsibilities including the implementation of retrieval systems and knowledge graphs, the ideal candidate should have significant experience in ML engineering and strong programming skills in Python and SQL. Join MLS to contribute to innovative, data-driven approaches in sports.

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Qualifications

• 8–10+ years of experience in ML engineering or applied AI.
• Strong expertise in Python and SQL development.
• Experience building LLM-powered systems at scale.

Responsibilities

• Design and implement embedding pipelines across various data.
• Build and manage knowledge graphs representing fan interactions.
• Collaborate with cross-functional teams on AI projects.

Skills

Python

SQL

Machine Learning

Data Systems

AI System Deployment

Semantic Data Modeling

Ontologies

Education

Master's degree in computer science or related field

Tools

Knowledge Graphs

Graph Databases

Vector Search

Job description

The MLS Soccer League is seeking a Principal AI/ML Engineer to develop advanced AI infrastructure to enhance fan experiences. This role focuses on designing semantic systems to manage complex data interactions, applying LLM technologies and creating production-grade services.

With responsibilities including the implementation of retrieval systems and knowledge graphs, the ideal candidate should have significant experience in ML engineering and strong programming skills in Python and SQL. Join MLS to contribute to innovative, data-driven approaches in sports.

.