AI Architect

About the role

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.

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;
• 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 executives to align AI initiatives with organizational objectives. Ensures that AI solutions adhere to governance and compliance requirements, including student data privacy;
• Provides critical input and execution support, identifying practical opportunities for applied AI to drive business outcomes;
• Ensures that AI deliverables are well-documented, reproducible, and monitored for ongoing performance and data integrity. Partners with governance teams and legal to adapt to evolving data privacy regulations and responsible AI practices;
• Stays abreast of emerging trends and tools—such as large language models—and evaluates their applicability. Advocates for robust DevOps/MLOps, agile methodologies, and cross-functional collaboration to maximize the impact of AI deployments;
• Aligns K12’s AI capabilities with the needs of our schools & school services teams that will drive the adoption and use of actionable data to deliver improved outcomes;
• Identifies and defines strategic opportunities for leveraging data science across other businesses and functions in support of K12’s mission, vision and long-term strategy;
• Demonstrates a passion for education and the K12 experience, actively motivating and encouraging the same passion in employees.

Requirements

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties. 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 Certificates and Licenses: None required. Certifications such as AWS Solutions Architect or Azure Solutions Architect are a plus but not mandatory. Other Required Qualifications 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 skills. Strong customer service orientation. Professional integrity necessary to maintain confidentiality. Strong planning skills and ability to manage multiple projects simultaneously. Excellent verbal and written communication skills. Ability to complete assigned duties within critical deadlines. Ability to work independently and in a team environment. Proficient with Microsoft Office (Word, Excel, PowerPoint, and Outlook). Proficiency with modern reporting platforms and tools. Ability to grasp complex platform concepts and business models, in a digital context. Ability to clear required background check.

Qualifications

• 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

Skills

• 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.

Benefits

Stride, Inc. offers a robust benefits package for eligible employees that can include health benefits, retirement contributions, and paid time off.

Pay

Stride, Inc. considers a person’s education, experience, and qualifications, as well as the position’s work location, expected quality and quantity of work, required travel (if any), external market and internal value when determining a new employee’s salary level. Salaries will differ based on these factors, the position’s level and expected contribution, and the employee’s benefits elections. Offers will typically be in the bottom half of the range. We anticipate the salary range to be $113,073.75 to $180,000.00. Eligible employees may receive a bonus.

Schedule

The above job is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor. All employment is “at-will” as governed by the law of the state where the employee works. It is further understood that the “at-will” nature of employment is one aspect of employment that cannot be changed except in writing and signed by an authorized officer.