AI Architect: Education ML & NLP Leader

Stride, Inc.; Boise (ID); Remote; USD 113,000 - 200,000; Full time

Benefits offered by this job

Health benefits

Retirement contributions

Paid time off

Job summary

Stride, Inc. seeks an AI Architect to design and deliver production-ready AI solutions, guiding a small team of AI Engineers and cross-functional contributors. You will oversee model development, data pipelines, and governance to drive measurable business impact in K12 contexts.

The role emphasizes hands-on ML in cloud environments, end-to-end deployment, and mentorship, with a home-based arrangement and compensation aligned to market rates.

Qualifications

• Bachelor's degree in Computer Science, Math, Physics, Engineering or equivalent experience.
• Six years of related experience or an equivalent education/experience.
• Experience designing and deploying machine learning models, especially NLP and recommender systems.
• Proficiency with AWS, Azure, Docker, Kubernetes, and Terraform to build scalable, secure, and high-performing environments.

Responsibilities

• Lead conception, prototyping, and deployment of ML models across multiple product lines.
• Oversee AI solution design, infrastructure, and deployment with DevOps practices.
• Supervise 1-3 AI Engineers and flex contributors on projects.
• Collaborate with Product, Engineering, IT Managers, Data Stewards, and executives to align AI initiatives with business goals.
• Ensure governance and privacy compliance for AI systems and data.
• Document AI deliverables and monitor performance and data integrity.

Skills

NLP

Recommender Systems

Python

AWS

Azure

Docker

Kubernetes

Terraform

MLOps

Team Leadership

Education

Bachelor's degree in Computer Science, Math, Physics, Engineering

Tools

Docker

Kubernetes

Terraform

MLflow

Kubeflow

Job description

Stride, Inc. seeks an AI Architect to design and deliver production-ready AI solutions, guiding a small team of AI Engineers and cross-functional contributors. You will oversee model development, data pipelines, and governance to drive measurable business impact in K12 contexts.

The role emphasizes hands-on ML in cloud environments, end-to-end deployment, and mentorship, with a home-based arrangement and compensation aligned to market rates.