The AI Architect is responsible for designing and delivering production-ready AI solutions across the K12 organization to drive business outcomes and improve student experiences.
Requirements
- 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.
- 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.
- Proficiency with modern reporting platforms and tools.
- Ability to grasp complex platform concepts and business models, in a digital context.
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;
- 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.
- Stays abreast of emerging trends and tools—such as large language models—and evaluates their applicability.
- 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;
Other
- Bachelor’s degree in Computer Science, Math, Physics, Engineering, or related quantitative field AND Six (6) years’ related experience;
- Directly supervises 1 - 3 Full-time Equivalent (FTE) regular employees and/or contractors.
- Strong customer service orientation.
- Professional integrity necessary to maintain confidentiality.
- Excellent verbal and written communication skills.
