Stride Learning

1 month ago

AI Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Lead the design and delivery of production-ready AI solutions across a K-12 and enterprise context. Manage a small AI engineering team, coordinate with UX and subject matter experts, and drive end-to-end ML pipelines in cloud environments, ensuring governance, data privacy, and impactful business outcomes.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•Drives the conception, prototyping, and deployment of machine learning models—particularly in natural language processing (NLP) and recommender systems—across multiple product lines
•Leverages AWS and Azure ecosystems, containerization, and infrastructure-as-code tools to create and maintain production-ready AI systems that can scale efficiently
•Working from proof-of-concept through full productization, including data ingestion, model training, deployment, monitoring for performance drift, and iteration for continuous improvement
•Directly supervises 1–3 AI Engineers and occasional flex contributors on specific projects. Provides guidance on coding best practices, model development, and data governance
•Works closely with Product, Engineering, IT Managers, Data Stewards, and high-level executives to align AI initiatives with organizational objectives, ensuring governance and data privacy compliance

Pay and Benefits

Salary: USD 113,073.75 - 180,000 annually

Key Requirements

•Bachelor’s degree in Computer Science, Math, Physics, Engineering, or related quantitative field AND Six (6) years’ related experience; OR Equivalent combination of education and experience
•Experience designing and deploying machine learning models—especially NLP and recommender systems—using Python and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn)
•Proficiency with AWS, Azure, Docker, Kubernetes, and Terraform to build scalable, secure, and high-performing environments
•High attention to detail and high level of accuracy; Strong analytical and communication skills; Ability to manage multiple projects and work independently
•Experience mentoring and supervising 1–3 engineers and coordinating cross-functional teams to align AI initiatives with business objectives

Experience:6+ yearsEdtechEducationK12

Education:Bachelor's

Skills:PythonNLPMLPyTorchTensorFlowScikit-learnAWSAzureDockerKubernetesTerraform

Certifications:AWS Solutions ArchitectAzure Solutions Architect

Tech Stack:AWSAzurePythonDockerKubernetesTerraformPyTorchTensorFlowScikit-learn

Company Brief

Stride Learning

Builds digital learning solutions and instructional design services for organizations and educators, offering personalized curriculum, training, and professional development aimed at improving learner outcomes and engagement.

Industry: EdTech

Website

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Stride Learning

1 month ago

AI Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•Drives the conception, prototyping, and deployment of machine learning models—particularly in natural language processing (NLP) and recommender systems—across multiple product lines
•Leverages AWS and Azure ecosystems, containerization, and infrastructure-as-code tools to create and maintain production-ready AI systems that can scale efficiently
•Working from proof-of-concept through full productization, including data ingestion, model training, deployment, monitoring for performance drift, and iteration for continuous improvement
•Directly supervises 1–3 AI Engineers and occasional flex contributors on specific projects. Provides guidance on coding best practices, model development, and data governance
•Works closely with Product, Engineering, IT Managers, Data Stewards, and high-level executives to align AI initiatives with organizational objectives, ensuring governance and data privacy compliance

Pay and Benefits

Salary: USD 113,073.75 - 180,000 annually

Key Requirements

•Bachelor’s degree in Computer Science, Math, Physics, Engineering, or related quantitative field AND Six (6) years’ related experience; OR Equivalent combination of education and experience
•Experience designing and deploying machine learning models—especially NLP and recommender systems—using Python and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn)
•Proficiency with AWS, Azure, Docker, Kubernetes, and Terraform to build scalable, secure, and high-performing environments
•High attention to detail and high level of accuracy; Strong analytical and communication skills; Ability to manage multiple projects and work independently
•Experience mentoring and supervising 1–3 engineers and coordinating cross-functional teams to align AI initiatives with business objectives

Experience:6+ yearsEdtechEducationK12

Education:Bachelor's

Skills:PythonNLPMLPyTorchTensorFlowScikit-learnAWSAzureDockerKubernetesTerraform

Certifications:AWS Solutions ArchitectAzure Solutions Architect

Tech Stack:AWSAzurePythonDockerKubernetesTerraformPyTorchTensorFlowScikit-learn

Company Brief

Stride Learning

Industry: EdTech

Website