Technology Architect (AWS, EdTech, Higher Education, Gen AI, LLM, RAG) in United

Job Description

Immediate Interview and joining opportunity

Job Title/Role: Technology Architect (AWS, AI, EdTech)

Industry: Education Technology (EdTech)

Work Location: Remote - Anywhere in USA

Department: Architecture

Reports to: Chief Architect

Role Overview

The Technical Consultant is a Solution-Based Engineer, and a thought-leader, who drives the execution of end-to-end technical solutions. They are responsible for architecting cross-functional workflows, integrating AI-driven automation into development cycles, and overseeing quality engineering and cloud deployment to ensure production-ready status.

● Oversee multidisciplinary technical execution, harmonizing source code, automated tests, and

infrastructure configurations into a singular, cohesive solution.

● Architect and prototype custom AI features, including Retrieval-Augmented (RAG)

capabilities and agent-based workflows.

● Plan and implement strategies to utilize Generative AI and LLMs to accelerate the delivery cycle.

● Oversee the application of these tools to automated testing, code refactoring, and

Infrastructure-as-Code (IaC) scripts.

● Lead technical synchronizations with client-side managers, clearly communicating progress and

efficiency gains realized through AI-driven delivery.

● Collaborate with stakeholders to design solutions for Ed-Tech clients.

● Design interfaces between legacy systems and modern AI-driven applications while maintaining system

resilience and security standards.

● Drive comprehensive accountability for the project lifecycle, ensuring the final product meets all

technical and business criteria through testing and deployment.

Required Experience and Skills:

● 7–12 years in engineering, with a proven desire to transition toward architectural decision-making and client-facing leadership.

● Deep expertise in your primary domain, combined with a strong curiosity to learn and apply skills in testing and infrastructure.

● Demonstrated experience or a strong interest in developing enterprise-grade solutions using Large Models and autonomous agents.

● Working knowledge of CI/CD pipelines and cloud- observability tools.

Experience and Skills:

● AWS Certified AI Practitioner or similar industry certifications.

● Practical experience with EdTech platform integrations.

● Practical experience with higher education/university enrollment platforms and CRM systems.

● Demonstrated experience in a consulting environment.

● Experience collaborating, supervising, managing and/or driving global teams.

COMPENSATION: The base pay for this position ranges from $200,000 to $250,000 with a potential earning opportunity of 300K+. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Dependent on the position offered, bonus, and other forms of compensation may be provided as part of a total compensation package.

Our client is an Equal Opportunity Employer. All applicants hired will be subject to a background check and drug screening.