AI Architect
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Job Description
AI Architect designing and implementing end-to-end architectures for AI/ML solutions at Cambium. Collaborates with engineering and product teams to ensure scalable and compliant AI projects.
Responsibilities:
- 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
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