Remote AI Architect - NLP & Recommender Lead

Stride, Inc.

Richmond (VA)

Remote

USD 113,000 - 200,000

Full time

14 days+
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Job summary

Stride, Inc. is seeking an experienced AI Architect to design and deliver production-ready AI solutions across the organization. You will lead a small team of AI Engineers, flex roles from UX and front-end as needed, and ensure end-to-end ML pipelines in cloud environments.

You will mentor the team, oversee governance and privacy, and drive alignment with business objectives in K12 and enterprise contexts while staying current with emerging AI trends and DevOps practices.

Qualifications

  • Bachelor's degree in CS, Math, Physics, Engineering or equivalent.
  • 6+ years' related experience or an equivalent combination of education and experience.
  • Experience designing and deploying ML models (NLP and recommender systems) using Python.
  • Proficiency with AWS, Azure, Docker, Kubernetes, and Terraform to build scalable environments.

Responsibilities

  • Lead conception, prototyping, and deployment of ML models across product lines (NLP and recommender systems).
  • Build and maintain production-ready AI systems in cloud environments with IaC tooling.
  • Oversee data ingestion, model training, deployment, and monitoring for performance drift.
  • Mentor 1–3 AI Engineers and flex contributors on projects.
  • Collaborate with Product, Engineering, IT, Data Stewards, and executives to align AI initiatives with business goals.
  • Ensure governance, privacy, and responsible AI practices across deployments.

Skills

NLP models
Recommender systems
Python ML
Cloud environments
DevOps practices
Strong communication
Project management

Education

Bachelor's degree in CS/Math/Physics/Engineering

Tools

AWS
Azure
Docker
Kubernetes
Terraform

Job description

Stride, Inc. is seeking an experienced AI Architect to design and deliver production-ready AI solutions across the organization. You will lead a small team of AI Engineers, flex roles from UX and front-end as needed, and ensure end-to-end ML pipelines in cloud environments.

You will mentor the team, oversee governance and privacy, and drive alignment with business objectives in K12 and enterprise contexts while staying current with emerging AI trends and DevOps practices.

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