Stride, Inc.
AIArchitect
Neural analysis suggests this role is
optimal for Mid+ candidates.
“AI Architect at Stride, Inc.. Skills: AI Architecture, Machine Learning, MLOps, Cloud environments. Design AI solutions. Deliver AI solutions”
What You'll Achieve.
Drive timely delivery of AI products; Deliver improved educational outcomes
Industry & Context.
Analytical skills
Clear background check
What They're Looking For.
Must Have
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, Experience using Python and common ML libraries, Proficiency with AWS, Azure, Docker, Kubernetes, and Terraform, High attention to detail, High level of accuracy, Analytical skills, Customer service orientation, Professional integrity, Planning skills, Ability to manage multiple projects simultaneously, Ability to complete assigned duties within critical deadlines, Ability to work independently and in a team environment, Proficient with Microsoft Office, Proficiency with modern reporting platforms and tools, Ability to grasp complex platform concepts and business models, Ability to clear required background check
Nice to Have
AWS Solutions Architect certification, Azure Solutions Architect certification, Experience with MLOps frameworks, Familiarity with K12 education data, Prior EdTech experience, Experience with responsible AI, Experience with ethical AI, Experience with complex governance practices
What You'll Do.
Prototype machine learning models
Deploy machine learning models
Leverage AWS and Azure ecosystems
Create production-ready AI systems
Maintain production-ready AI systems
Monitor performance drift
Iterate for continuous improvement
Inform product decisions
Influence product decisions
Support product decisions
Supervise AI Engineers
Provide guidance on coding best practices
Provide guidance on model development
Provide guidance on data governance
Align AI initiatives with organizational objectives
Ensure AI solutions adhere to governance
Ensure AI solutions adhere to compliance
Ensure AI solutions adhere to student data privacy
Provide input on applied AI opportunities
Execute applied AI opportunities
Ensure AI deliverables are documented
Ensure AI deliverables are reproducible
Monitor AI deliverables for performance
Monitor AI deliverables for data integrity
Adapt to evolving data privacy regulations
Adapt to responsible AI practices
Evaluate applicability of emerging trends
Advocate for robust DevOps
Advocate for agile methodologies
Advocate for cross-functional collaboration
Align AI capabilities with K12 needs
Drive adoption of actionable data
Define strategic opportunities for data science
Encourage passion in employees
How You'll Work.
Team & Collaboration
Cross-functional teams; Product teams; Engineering teams; IT Managers; Data Stewards; Executives; Governance teams; Legal teams
Communication Scope
Verbal communication; Written communication
Process & Methodology
Agile methodologies
Full Job Description
**Job Description** **SUMMARY** : The AI Architect is responsible for designing and delivering production-ready AI solutions across the organization. This individual will manage a small team of AI Engineers and occasionally flex roles from UX, front-end, and subject matter experts to create innovative solutions that leverage machine learning for enterprise-wide impact. The AI Architect will provide direct oversight of AI solution design, infrastructure, and deployment using standardized coding best practices. This position will mentor team members in technical development and ensure alignment with business objectives in the K12 and broader enterprise context. The AI Architect is deeply experienced, passionate about applied AI, comfortable building end-to-end ML pipelines in cloud environments, and able to set priorities and organize the collaborative work of a small technical team. They will drive the timely delivery of AI products directly linked to actionable business decisions. **ESSENTIAL FUNCTIONS:** Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties. * 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; * Informs, influences, and supports product decisions. * 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 execu
Applying for this AI Architect role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about Stride, Inc.?
Real rants from real employees. Read before you apply.