AI Architect

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 To view full details and how to apply, please login or create a Job Seeker account