AI Architect

🕒 March 21

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

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Cambium Learning Group

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2009

📚 Education

🤖 Artificial Intelligence

Education • Artificial Intelligence

Cambium Learning Group is a company focused on providing essential educational solutions through a family of companies. They create experiences designed to help educators and students succeed by leveraging technology, including artificial intelligence and machine learning. Cambium Learning Group's brands are among the most respected in the edtech sector, supporting meaningful work and innovation in education. Their commitment is reflected in their dedication to making every learning moment valuable and impactful.

📋 Description

• The AI Architect will design and implement end-to-end architectures for Generative AI and AI/ML solutions. • Design secure end-to-end AI solution architectures including data ingestion, model training, inference pipelines, orchestration flows, and integration with downstream systems. • Implement architectures defined by the Director Enterprise Systems, ensuring alignment with standards, patterns, and platform strategy. • Build GenAI solutions using RAG, vector search, grounding strategies, prompt orchestration, and model evaluation frameworks. • Create and maintain high-quality HLD/LLD documentation, sequence diagrams, and data flows for AI workloads. • Perform hands-on technical proofs of concept, evaluate models/tools, and convert prototypes into production-grade systems. • Architect federated data access patterns for AI, integrating multiple source systems into cohesive retrieval pipelines. • Conduct architecture reviews, risk assessments, and model evaluations as part of deployment readiness.

🎯 Requirements

• 5+ years of experience in engineering and architecture roles, operating at enterprise scale and demonstrating sustained ownership of complex data and AI enabled platforms. • Hands-on experience designing and implementing: LLM-based solutions (RAG, tool use, prompt workflows, fine-tuning where appropriate). • Traditional ML models and pipelines. • Cloud AI services (Azure OpenAI/AI Studio, AWS Bedrock/SageMaker, GCP Vertex AI). • Vector databases & search (Azure AI Search, Pinecone, Weaviate, OpenSearch, pgvector). • Data pipelines supporting AI (Spark, Databricks, Synapse, Snowflake, dbt, Airflow). • Strong understanding of MLOps/LMMOps practices including model registry, CI/CD for ML, monitoring, and evaluation. • Proficiency in Python and familiarity with key AI frameworks (LangChain/LangGraph, Semantic Kernel, PyTorch or TensorFlow, MLflow). • Working knowledge of security, governance, and compliance controls related to AI.

🏖️ Benefits

• Cambium offers reimbursement to help cover the cost of setting up your home or remote office