Remote AI Architect: NLP & MLOps Leader

Stride, Inc.; Baton Rouge (LA); On-site; USD 113,000 - 200,000; Full time

Benefits offered by this job

Home-based position

Flexible work hours

Competitive salary

Job summary

Stride, Inc. is seeking an AI Architect to design and deliver production-ready AI solutions. You will oversee a small team of AI Engineers and occasionally flex roles from UX, front-end, and SMEs to build enterprise ML systems across K-12 and broader contexts.

You will drive end-to-end ML pipelines in cloud environments, set priorities, mentor developers, and ensure governance, data privacy, and documentation across projects.

Qualifications

• Bachelor's degree in CS, Math, Physics, or Engineering or equivalent experience.
• Experience designing and deploying ML models, especially NLP and recommender systems.
• Proficiency with AWS/Azure, Docker, Kubernetes, Terraform.

Responsibilities

• Lead conception, prototyping, and deployment of ML models across product lines.
• Build and maintain scalable AI systems using AWS/Azure and IaC tools.
• From PoC to productization: data ingestion, training, deployment, monitoring, iteration.
• Supervise 1–3 AI Engineers and provide coding guidance.
• Align AI initiatives with business objectives and governance requirements.
• Advance AI DevOps/MLOps and foster cross-functional collaboration.

Skills

NLP models

Recommender systems

Python

ML libraries

AWS/Azure

Docker

Kubernetes

Terraform

Leadership

DevOps/MLOps

Education

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

OREquivalent combination of education and experience

Tools

MLflow

Kubeflow

Terraform

Docker

Kubernetes

AWS

Azure

Job description

Stride, Inc. is seeking an AI Architect to design and deliver production-ready AI solutions. You will oversee a small team of AI Engineers and occasionally flex roles from UX, front-end, and SMEs to build enterprise ML systems across K-12 and broader contexts.

You will drive end-to-end ML pipelines in cloud environments, set priorities, mentor developers, and ensure governance, data privacy, and documentation across projects.