AI Architect (Machine Learning)

Location: US Nationwide — Remote; home-based position

Salary: $113,073.75–$200,000 per year, with potential bonus eligibility.

Company

hirify.global develops education and school services supporting K12 learning and organizational outcomes through technology and actionable data.

What you will do

• Design, prototype, and deploy machine learning models, particularly for NLP and recommender systems, across multiple product lines.
• Build production-ready AI systems using AWS, Azure, containerization, infrastructure as code, and scalable cloud architectures.
• Manage the full ML lifecycle from data ingestion and model training through deployment, monitoring, drift detection, and continuous improvement.
• Supervise 1–3 AI Engineers and coordinate contributions from UX, front-end, and subject matter experts.
• Partner with Product, Engineering, IT, Data Stewards, governance teams, legal, and executives to align AI initiatives with business objectives and privacy requirements.
• Identify strategic opportunities for applied AI, promote MLOps and responsible AI practices, and support adoption across K12 school and service teams.

Requirements

• Bachelor’s degree in Computer Science, Mathematics, Physics, Engineering, or a related field, or an equivalent combination of education and experience.
• At least six years of related experience.
• Experience designing and deploying ML models, especially NLP and recommender systems, using Python and common ML libraries.
• Proficiency with AWS, Azure, Docker, Kubernetes, and Terraform.
• Strong analytical, planning, communication, documentation, and collaboration skills, with the ability to manage multiple projects and meet critical deadlines.
• Ability to pass the required background check.

Nice to have

• Experience with MLflow or Kubeflow.
• K12 education data or EdTech experience.
• Experience with responsible AI, ethical AI, or complex governance practices.
• AWS Solutions Architect or Azure Solutions Architect certification.

Culture & Benefits

• Remote, home-based work environment.
• Health benefits, retirement contributions, and paid time off may be available to eligible employees.
• Work focused on education, student data privacy, responsible AI, and improved K12 outcomes.
• Regular collaboration across product, engineering, IT, governance, legal, and executive functions.