AI Architect Job at Stride, Inc. (Nationwide)

Job Description

The AI Architect is responsible for designing and delivering production-ready AI solutions across the organization. This individual will manage a small team of AI Engineers and occasionally flex roles from UX, front-end, and subject matter experts to create innovative solutions that leverage machine learning for enterprise-wide impact. The AI Architect will provide direct oversight of AI solution design, infrastructure, and deployment using standardized coding best practices. This position will mentor team members in technical development and ensure alignment with business objectives in the K12 and broader enterprise context. The AI Architect is deeply experienced, passionate about applied AI, comfortable building end-to-end ML pipelines in cloud environments, and able to set priorities and organize the collaborative work of a small technical team. They will drive the timely delivery of AI products directly linked to actionable business decisions.

Job Responsibility

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
Carries out supervisory responsibilities in accordance with the organization's policies and applicable laws. Responsibilities include interviewing, hiring, and training employees
planning, assigning, and directing work
appraising performance
rewarding and disciplining employees
addressing complaints and resolving problems

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

Nice to have

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
Certifications such as AWS Solutions Architect or Azure Solutions Architect are a plus but not mandatory

What we offer

Stride offers a robust benefits package for eligible employees that can include health benefits, retirement contributions, and paid time off
Eligible employees may receive a bonus

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