AI Architect - JR107496_7-7698

at Stride, Inc in Boise, Idaho, United States

• 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.

• 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 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

• 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.

• This is a home-based position