Posted May 18, 2026
This role begins as a contract position at an hourly rate of $200 USD per hour, providing a streamlined path toward a permanent, salaried full-time transition. Please note that while the contract phase offers a higher hourly rate in lieu of benefits, the full-time conversion introduces a comprehensive total rewards package, including premium health coverage and retirement programs, alongside a restructured annual salary.
Next League is seeking an AI Solutions Engineer to design, build, and ship production AI systems across our portfolio of sports, entertainment, and league clients. This is the engineering counterpart to our Data Scientist and AI Product Manager roles, and the person who turns prototypes and discovery work into deployed, scaled, and integrated solutions. The role combines two core capabilities: building AI agents and applied LLM systems, and engineering computer vision pipelines that power fan-facing experiences and content operations. You will work across the full lifecycle, from architecting a solution with a client, to shipping a v1, to integrating it into the client's stack and hardening it for production. You will partner closely with AI Product Managers, data scientists, and client engineering teams. Clients include professional teams, leagues, major sports properties, and national governing bodies. ## Essential Duties and Responsibilities
The following and other duties may be assigned as necessary:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. - 3 to 5 years of experience as an ML engineer, AI engineer, or software engineer shipping production AI/ML systems
Sports, entertainment, league, media, or content industry experience strongly preferred
Hands-on experience with leading AI platforms such as:
Claude
ChatGPT / OpenAI APIs
Google Gemini / Vertex AI
Microsoft Copilot (M365 / Copilot Studio)
AWS Bedrock
Azure AI Foundry
Experience with agentic frameworks (LangChain, LangGraph, OpenAI Agents SDK, CrewAI)
Experience with video processing pipelines, automated highlight generation, or content moderation systems
Experience with AR or mobile computer vision (ARKit, ARCore, WebAR, on-device inference)
Familiarity with vector databases (Pinecone, Weaviate, pgvector) and embedding workflows
Experience with cloud platforms (AWS, GCP, Azure) and MLOps tooling
Familiarity with marketing, CRM, ticketing, content management, or fan engagement platforms
Experience with automation tools such as n8n or Zapier
Background in responsible AI practices, model governance, and enterprise data handling
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