AI Architect: NLP & ML Platform Lead

Stride, Inc.

Columbia (SC)

On-site

USD 113,000 - 200,000

Full time

8 days ago
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Job summary

Stride, Inc. seeks an AI Architect to design and deliver production-ready AI solutions and lead a small team of AI engineers. You will guide end-to-end ML pipelines in cloud environments and align AI work with K12 and enterprise objectives.

The role requires deep expertise in NLP and recommender systems, plus governance and responsible AI practices. This home-based position offers salary growth with a bonus option and a robust benefits package.

Qualifications

  • Bachelor's degree in Computer Science, Math, Physics, Engineering, or an equivalent combination of education and experience.
  • Experience designing and deploying ML models—especially NLP and recommender systems—using Python and common ML libraries.
  • Proficiency with AWS, Azure, Docker, Kubernetes, and Terraform to build scalable, secure, and high-performing environments.
  • Strong analytical and communication skills.
  • Ability to lead 1–3 AI Engineers and collaborate with Product, Engineering, IT Managers, and executives.

Responsibilities

  • Design, prototype, and deploy ML models—especially NLP and recommender systems—across multiple product lines.
  • Leverage AWS/Azure, containers, and IaC to create scalable production AI systems.
  • From PoC to production: data ingestion, model training, deployment, monitoring, and iteration.
  • Inform, influence, and support product decisions.
  • Mentor 1–3 AI Engineers and cross-functional contributors on coding best practices.

Skills

Machine learning
NLP
Team leadership
Python
Cloud architecture
DevOps practices
Communication skills
Project management

Education

Bachelor's degree in Computer Science, Math, Physics, Engineering, or related field

Tools

AWS
Azure
Docker
Kubernetes
Terraform
MLflow
Kubeflow

Job description

Stride, Inc. seeks an AI Architect to design and deliver production-ready AI solutions and lead a small team of AI engineers. You will guide end-to-end ML pipelines in cloud environments and align AI work with K12 and enterprise objectives.

The role requires deep expertise in NLP and recommender systems, plus governance and responsible AI practices. This home-based position offers salary growth with a bonus option and a robust benefits package.

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