Stride, Inc.
AIArchitect
Neural analysis suggests this role is
optimal for Mid+ candidates.
“AI Architect at Stride, Inc.. Skills: AI Architecture, Machine Learning, Cloud Environments, ML Pipelines. Design production-ready AI solutions. Manage AI Engineers”
What You'll Achieve.
Deliver production-ready AI solutions; Drive timely delivery of AI products; Deliver improved outcomes for schools
Industry & Context.
Analytical skills
Clear required 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 with 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, Ability to work 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.
Design production-ready AI solutions
Manage AI infrastructure
Align AI with business objectives
Drive AI product delivery
Drive conception of machine learning models
Drive prototyping of machine learning models
Drive deployment of machine learning models
Leverage AWS ecosystems
Leverage Azure ecosystems
Leverage containerization
Leverage infrastructure-as-code tools
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 requirements
Ensure AI solutions adhere to compliance requirements
Identify practical opportunities for applied AI
Ensure AI deliverables are well-documented
Ensure AI deliverables are reproducible
Ensure AI deliverables are monitored
Adapt to evolving data privacy regulations
Adapt to responsible AI practices
Evaluate applicability of emerging trends
Advocate for robust DevOps
Advocate for robust MLOps
Advocate for agile methodologies
Advocate for cross-functional collaboration
Align K12 AI capabilities with needs
Identify strategic opportunities for data science
Encourage passion in employees
Address employee complaints
Resolve employee problems
How You'll Work.
Team & Collaboration
Collaborative work of technical team; Cross-functional collaboration; Work closely with Product; Work closely with Engineering; Work closely with IT Managers; Work closely with Data Stewards; Work closely with executives
Communication Scope
Verbal communication; Written communication
Process & Methodology
Agile methodologies, Planning skills
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 e
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