AI Architect
Not Disclosed•Full-TimeRemote
location_onMineral Mountain Road, Boise County, Idaho, United States
About the Role
The AI Architect serves as a strategic leader responsible for designing and delivering production-ready AI solutions that drive enterprise-wide impact within the K12 education sector. This role goes beyond technical execution; it involves managing a small team of AI Engineers while flexing resources from UX, front-end, and subject matter experts to create innovative solutions. The position is deeply rooted in applied AI, requiring a passion for the K12 experience and the ability to mentor team members in technical development while ensuring alignment with broader business objectives.
You will drive the timely delivery of AI products directly linked to actionable business decisions. From proof-of-concept through full productization, you will oversee the entire lifecycle of machine learning models—particularly in natural language processing (NLP) and recommender systems. This includes managing data ingestion, model training, deployment, and monitoring for performance drift. Your work ensures that AI deliverables are well-documented, reproducible, and compliant with evolving data privacy regulations, including strict student data privacy standards.
A key part of your mission is to align K12's AI capabilities with the needs of schools and school services teams, driving the adoption of actionable data to improve outcomes. You will identify strategic opportunities to leverage data science across other business functions, supporting K12's long-term strategy. By advocating for robust DevOps/MLOps and agile methodologies, you will maximize the impact of AI deployments and foster a culture of innovation and ethical AI practices.
Work location
Work model: Remote
Mineral Mountain Road, Boise County, Idaho, United States
Idaho
Key Responsibilities
- check_circleDesign and deploy production-ready machine learning models for NLP and recommender systems
- check_circleManage a small team of AI Engineers and provide technical guidance on coding best practices
- check_circleBuild scalable AI infrastructure using AWS, Azure, Docker, Kubernetes, and Terraform
- check_circleAlign AI initiatives with organizational objectives and ensure compliance with data privacy regulations
- check_circleEvaluate emerging AI trends and advocate for robust DevOps and MLOps methodologies
- check_circleEnsure AI deliverables are well-documented, reproducible, and monitored for performance drift
- check_circleCollaborate with product, engineering, and executive teams to drive actionable business outcomes
- check_circleOversee end-to-end ML pipelines from proof-of-concept through full productization and monitoring
Requirements
- verifiedBachelor's degree in Computer Science, Math, Physics, Engineering, or related quantitative field
- verifiedSix (6) years' related experience
- verifiedExperience designing and deploying machine learning models using Python
- verifiedProficiency with AWS, Azure, Docker, Kubernetes, and Terraform
- verifiedAbility to clear required background check
Nice to Have
Certifications such as AWS Solutions Architect or Azure Solutions Architect. Experience with MLOps frameworks such as MLflow or Kubeflow. Familiarity with K12 education data or prior EdTech experience. Experience working in an environment that emphasizes responsible AI, ethical AI, or complex governance practices.
Benefits & Perks
check_circleHealth benefitscheck_circleRetirement contributionscheck_circlePaid time off
Similar Job Opportunities
Skills, education and keywords
Skills: Machine Learning, Natural Language Processing, NLP, Recommender Systems, Aws, Azure, Docker, Kubernetes, Terraform, Python.
Education: Bachelor's degree in Computer Science, Math, Physics, Engineering, or related quantitative field.
Frequently asked questions about AI Architect at Stride, Inc.
What does a AI Architect at Stride, Inc. do?expand_more
A AI Architect at Stride, Inc. is responsible for the following: Design and deploy production-ready machine learning models for NLP and recommender systems; Manage a small team of AI Engineers and provide technical guidance on coding best practices; Build scalable AI infrastructure using AWS, Azure, Docker, Kubernetes, and Terraform; and Align AI initiatives with organizational objectives and ensure compliance with data privacy regulations.
What are the requirements for this AI Architect role?expand_more
Stride, Inc. is looking for candidates who meet the following requirements: Bachelor's degree in Computer Science, Math, Physics, Engineering, or related quantitative field; Six (6) years' related experience; Experience designing and deploying machine learning models using Python; Proficiency with AWS, Azure, Docker, Kubernetes, and Terraform; and Ability to clear required background check.
Where is the AI Architect role at Stride, Inc. located?expand_more
AI Architect at Stride, Inc. is based in Mineral Mountain Road, Boise County, Idaho, United States. This is a remote role.
Is this AI Architect job remote, hybrid, or on-site?expand_more
Stride, Inc. has listed this AI Architect role as remote.
How much experience is required for this AI Architect role?expand_more
AI Architect at Stride, Inc. typically requires 6+ years of relevant experience at the senior level.
What skills do you need for the AI Architect role at Stride, Inc.?expand_more
Key skills for AI Architect at Stride, Inc. include Machine Learning; Natural Language Processing; NLP; Recommender Systems; Aws; Azure; Docker; and Kubernetes.
What education is required for AI Architect at Stride, Inc.?expand_more
Educational requirements for this role: Bachelor's degree in Computer Science, Math, Physics, Engineering, or related quantitative field.
What category does the AI Architect role belong to?expand_more
AI Architect at Stride, Inc. is part of the it job category on Recrutus.