Fractional AI Architect Consultant
Fractional AI Architect Consultant position — see original posting for full details.
Fractional AI Architect (Consultant)
Generative AI, ML Systems & Scalable Platform Architecture
Contract / Fractional Engagement Remote
Overview
Bridge-it .ai An AI-driven SaaS platform operating in the career readiness and education technology space is seeking a Fractional AI Architect to conduct an architecture review and provide technical guidance for the platform's AI and data systems.
Experience in the U.S. K-12 education ecosystem or EdTech platforms is highly desirable , particularly in systems that support students, educators, counselors, or workforce readiness initiatives.
The platform combines Generative AI copilots, retrieval-augmented generation (RAG), knowledge graphs, and traditional machine learning models to support career exploration, pathway planning, and personalized recommendations for students.
The engagement focuses on conducting a structured architecture audit and evaluating whether the current system design aligns with the platform's long-term goals for scalability, reliability, observability, and continuous improvement.
The consultant will collaborate with engineering and product leadership to identify architectural gaps and provide recommendations for strengthening the AI platform.
This role is intended for senior AI architects or principal-level engineers who have previously designed and operated production AI systems at scale.
Scope of Engagement
The consultant will review the current system architecture and provide recommendations across several key areas.
AI Platform Architecture Review
Conduct a structured audit of the platform's AI architecture, including:
generative AI copilot design
agentic workflow orchestration
retrieval-augmented generation pipelines
knowledge retrieval systems
vector database usage
knowledge graph integration
context management and AI memory strategies
prompt and instruction architecture
Assess whether the current design supports:
reliable AI behavior
scalable inference
controllable AI workflows
maintainable system architecture.
Generative AI & LLM Systems
Evaluate the architecture and technical strategy related to:
LLM model selection
API-based vs self-hosted model strategies
embeddings and vector search pipelines
prompt and context engineering
RAG architecture
agent orchestration frameworks
guardrails and reliability mechanisms.
Provide recommendations to improve:
Posted June 12, 2026