AI Architect

Stride Learning
United States
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 6+ yearsEducation: bachelorsSkills: ["Analytical skills","High attention to detail","Strong customer service orientation","Professional integrity","Excellent verbal and written communication"]

Design and deliver production-ready AI solutions, from proof-of-concept to full productization, leveraging machine learning for enterprise impact. Lead NLP and recommender system model development, including data ingestion, training, deployment, monitoring for performance drift, and continuous improvement. Use AWS and Azure ecosystems plus containerization and infrastructure-as-code to scale reliable AI systems. Oversee and mentor a small team of AI engineers while aligning AI initiatives with K-12 business objectives and governance requirements.

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FursaFursa
Stride Learning
Stride Learning
1 month ago

AI Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 27 days agoStatus: Live
Reposted: similar role first listed 8 months ago

Job Summary

Design and deliver production-ready AI solutions, from proof-of-concept to full productization, leveraging machine learning for enterprise impact. Lead NLP and recommender system model development, including data ingestion, training, deployment, monitoring for performance drift, and continuous improvement. Use AWS and Azure ecosystems plus containerization and infrastructure-as-code to scale reliable AI systems. Oversee and mentor a small team of AI engineers while aligning AI initiatives with K-12 business objectives and governance requirements.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Drive conception, prototyping, and deployment of machine learning models across multiple product lines, especially NLP and recommender systems.
  • •Leverage AWS/Azure ecosystems, containerization, and infrastructure-as-code to build and maintain scalable, production-ready AI systems.
  • •Own the end-to-end lifecycle from data ingestion and model training through deployment, monitoring for performance drift, and iteration.
  • •Supervise 1–3 AI engineers (and occasionally flex contributors), mentoring and guiding teams on coding best practices and model development.
  • •Ensure AI deliverables are well-documented, reproducible, and monitored for performance and data integrity while aligning with governance and compliance requirements, including student data privacy.

Key Requirements

  • •Bachelor’s degree in Computer Science, Math, Physics, Engineering, or related field.
  • •6+ years of related experience (or equivalent education and experience).
  • •Experience designing and deploying machine learning models, especially NLP and recommender systems, using Python and common ML libraries.
  • •Proficiency with AWS and Azure plus Docker, Kubernetes, and Terraform to build scalable, secure environments.
  • •Ability to supervise 1–3 AI engineers and provide guidance on coding best practices and model development.
Experience:6+ yearsK-12 educationEducation technologyResponsible AIMachine learningNatural language processingRecommender systems
Education:Bachelor's
Skills:Analytical skillsHigh attention to detailStrong customer service orientationProfessional integrityExcellent verbal and written communication
Certifications:AWS Solutions ArchitectAzure Solutions Architect
Tech Stack:PythonAWSAzureDockerKubernetesTerraformMLflowKubeflowLarge language modelsDevOpsMLOpsMicrosoft OfficeNatural language processingRecommender systems

Company Brief

Stride Learning
Builds digital learning solutions and instructional design services for organizations and educators, offering personalized curriculum, training, and professional development aimed at improving learner outcomes and engagement.
Industry: EdTech
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