AI Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Leads the development, prototyping, and implementation of machine learning models—especially in natural language processing (NLP) and recommender systems—across various product lines.

• Utilizes AWS and Azure platforms, containerization, and infrastructure-as-code tools to build and sustain production-ready AI systems that can scale effectively.

• Oversees the process from proof-of-concept to full product deployment, including data ingestion, model training, implementation, performance monitoring, and iterative improvements.

• Guides, influences, and supports product decision-making.

• Directly manages 1–3 AI Engineers and occasionally supervises flex contributors on specific projects.

• Offers expertise on coding best practices, model development, and data governance.

• Collaborates closely with Product, Engineering, IT Managers, Data Stewards, and senior executives to ensure AI initiatives align with organizational goals.

• Guarantees that AI solutions comply with governance and regulatory standards, including student data privacy.

• Provides essential input and execution assistance, uncovering practical applications for AI to enhance business results.

• Ensures AI deliverables are thoroughly documented, reproducible, and monitored for ongoing performance and data integrity.

• Partners with governance teams and legal departments to adapt to changing data privacy regulations and responsible AI practices.

• Keeps updated on emerging trends and tools—such as large language models—and assesses their relevance.

• Promotes strong DevOps/MLOps, agile methodologies, and cross-functional collaboration to maximize the effectiveness of AI implementations.

• Aligns K12’s AI capabilities with the requirements of our schools and school services teams to promote the use of actionable data for improved outcomes.

• Identifies and outlines strategic opportunities to leverage data science across other business areas and functions in support of K12’s mission, vision, and long-term strategy.

• Exhibits a passion for education and the K12 experience, actively inspiring and motivating employees to share the same enthusiasm.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Mathematics, Physics, Engineering, or a related quantitative discipline AND six (6) years of relevant experience; OR an equivalent combination of education and experience.

• Proven experience in designing and deploying machine learning models—particularly NLP and recommender systems—using Python and popular ML libraries (e.g., PyTorch, TensorFlow, scikit-learn).

• Expertise in AWS, Azure, Docker, Kubernetes, and Terraform to create scalable, secure, and high-performance environments.

• Exceptional attention to detail and a high degree of accuracy.

• Strong analytical abilities.

• Excellent customer service orientation.

• Professional integrity required to maintain confidentiality.

• Strong organizational skills with the capability to manage multiple projects simultaneously.

• Outstanding verbal and written communication skills.

• Ability to complete assigned tasks within critical deadlines.

• Capability to work both independently and collaboratively in a team setting.

• Proficient in Microsoft Office Suite (Word, Excel, PowerPoint, and Outlook).

• Familiarity with modern reporting platforms and tools.

• Ability to understand complex platform concepts and business models within a digital context.

• Must clear the required background check.

🏝️ Benefits

• Health benefits.

• Retirement contributions.

• Paid time off.