AI Architect
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Job Description
AI Architect designing and delivering AI solutions while mentoring a team for innovative educational impact. Overseeing data-driven projects leveraging machine learning and cloud technologies.
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:
- 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
Benefits:
- Health benefits
- Retirement contributions
- Paid time off
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