Fast Facts

Join Navigate360 as a Senior Data and AI Systems Engineer to lead the integration of advanced data systems and AI models in the development of NORA, a digital assistant focused on enhancing safety in K-12 schools.

Responsibilities: Design and implement data integration pipelines, develop secure, multi-tenant data architectures, deploy agentic APIs, and ensure compliance with data security standards to enhance NORA's capabilities.

Skills: 3+ years of experience in Databricks, proficiency in AWS services, expertise in large language models and secure data architectures, and strong problem-solving skills in a remote work environment.

Qualifications: Bachelor’s degree in a related field or equivalent experience; preferred Master’s degree with 5+ years of experience in relevant technologies and sectors.

Location: Remote or Richfield, OH, USA, with no other travel required.

Compensation: Not provided by employer. Typical compensation ranges for this position are between $120,000 - $160,000.

Job Details

Level:   Senior

Job Location:   Remote - Richfield, OH

Education Level:   4 Year Degree

Salary Range:   Undisclosed

Description

Summary: In 2024, Navigate360 unveiled NORA, our modern digital assistant that is connected to your Navigate360 data and our unrivaled expertise in threat detection and mitigation that has provided insights and analysis for thousands of digital alerts in Digital Threat Detection. The Data Science and Solutions team is now developing new agents, tools, and data sources and structures to make NORA even more powerful and useful for our thousands of K-12 schools. We are hiring a new Senior Data and AI Systems Engineer to lead the integration of data, large language models, vector search and agentic APIS into NORA’s ecosystem, all while keeping our customers very sensitive data isolated, secure, and used only to help our trained K-12 professionals get the information they need as quickly and accurately as possible.

There will be very few opportunities in the current Data and AI space where you can help build a business whose sole mission is to keep our K-12 schools, campuses, teachers, children and community safe and secure. Our mission is zero incidents and you will help our customers integrate Navigate360’s entire product portfolio, from emergency management to digital threat detection, into a data-powered, intelligent system that is easy to use and most of all, trustworthy.

You will be building on and contributing to a large amount of work already completed, so the successful candidate should be able to work well with a remote team, have muscle memory with tools like Jira, Github, AWS storage and endpoint configuration, and especially 3 or more years experience building enterprise-class systems in Databricks. Our platform is built on the Databricks lakehouse ‘medallion architecture’, MLFlow for traditional machine learning tasks, and Mosaic AI and other components of the stack for serving agentic applications on the AWS cloud. We are building for multi-tenancy and secure data isolation and privacy controls in Unity Catalog. If you have gotten this far in this paragraph, and already have a picture in your head of what we are building, then you should definitely apply for the position.

Duties / Responsibilities:

• Design and implement data integration pipelines to connect new data sources and structures to NORA’s ecosystem using Databricks lakehouse ‘medallion architecture’.
• Develop automation to deploy and maintain secure, multi-tenant data architectures with Unity Catalog to ensure customer data isolation and privacy.
• Deploy and optimize agentic APIs to support NORA’s digital assistant functionalities, integrating large language models and vector search capabilities using Langchain running on Databricks Mosaic AI Agent framework.
• Contribute to the development of new agents and tools that support planned and emerging customer scenarios, such as integration with Navigate360 apps and content, retrieving and rendering complex datasets, etc.
• Partner with data science to build on our system to measure, monitor and enhance performance, ensuring high availability, trustworthiness, and reliability of NORA’s threat detection and mitigation capabilities.
• Partner with infrastructure engineering to deploy and manage AWS endpoints to support scalable, secure, and high-performance data and AI systems.
• Implement and test data security protocols to safeguard sensitive K-12 customer data, ensuring compliance with privacy standards.
• Provide technical guidance and mentorship to junior engineers, fostering best practices in enterprise-class system development on Databricks and AWS.

Qualifications

Required Qualifications:

• Bachelor’s degree or equivalent work experience and public (i.e., Github) portfolio in Computer Science, Data Science, Engineering, or a related field.
• 3+ years of experience building enterprise-class systems in Databricks, with expertise in the lakehouse ‘medallion architecture’.
• Proficiency in AWS cloud services, including storage and endpoint configuration.
• Experience with MLFlow for managing traditional machine learning workflows.
• Hands-on expertise with large language models, vector search, and agentic API development.
• 3+ years of experience with secure, multi-tenant data architectures and privacy controls, preferably using Unity Catalog.
• Strong proficiency with Jira for task management and GitHub for version control.
• Demonstrated ability to work effectively in a remote team environment.
• Knowledge of data security and privacy practices, particularly for handling sensitive data in compliance with regulations.
• Strong problem-solving skills and proven track record deploying scalable, high-performance data and AI systems with a wide variety of source data.

Preferred Qualifications:

• Master’s degree or higher in Computer Science, Data Science, Artificial Intelligence, or a related field.
• 5+ years of experience with Databricks, including advanced proficiency with Mosaic AI and other Databricks stack components for agentic applications.
• Prior experience in the K-12 education sector or with systems focused on safety, security, or threat detection.
• Proven expertise in optimizing large language models and vector search systems for performance and scalability in enterprise environments.
• Experience mentoring or leading small teams of engineers in building data-driven or AI-powered solutions.

Normal Working Hours and Conditions: Core business hours are generally 8:00 am – 5:00 pm. However, this position will require work to be performed outside of normal business hours based on Company operations. 

Physical Requirements: Primary functions require sufficient physical ability and mobility to work in an office setting including verbally communicating, seeing and hearing to exchange information and fine coordination including use of a computer keyboard. Daily physical functions include standing, sitting and walking for prolonged periods of time and occasionally stooping, bending, kneeling, crouching, reaching, and twisting. The employee may engage in lifting, carrying, pushing, and pulling light to moderate amounts of weight up to 25 pounds. The position also requires the operation of office equipment requiring repetitive hand movement.