AI Architecture Leader

1 semana atrás

Guarulhos, São Paulo, Brasil beBeeLeadership Tempo inteiro

We are seeking a senior AI leader to drive the design and implementation of an end-to-end Retrieval-Augmented Generation (RAG) architecture. This role will oversee the ingestion of diverse data sources, including GitHub repositories, Confluence pages, and Qtest artifacts, to power autoscripting, onboarding search, and long-term knowledge reuse.

Key Responsibilities
  • Design and architect ingestion and retrieval layers, selecting optimal loaders, chunking strategies, embeddings, vector stores, cross-encoder rerankers, and LangChain router chains.
  • Develop CI orchestrations, including daily Jenkins jobs for delta detection, image captioning, cost/latency guardrails, and rollback strategies.
  • Establish model and prompt governance, including prompt templates, few-shot libraries, safety filters, and evaluation rubrics.
  • Lead the architecture for a UI onboarding tool, deciding on hosting options, SSO/auth flows, token streaming, and feedback mechanisms for continuous learning.
  • Oversee data security and compliance, embedding privacy policies, source citations, audit logs, and ensuring credentials are managed in Secrets Manager.
  • Provide technical leadership by reviewing PRs, setting code quality standards, and conducting architecture workshops for AI and Automation Agent Engineers.
Must-Have Qualifications
  • 6–8 years of experience building data or ML platforms, with at least 2 years deploying LLM/RAG systems in production.
  • Deep expertise in LangChain, ChromaDB, Qdrant, or pgvector, and cross-encoder rerankers.
  • Strong proficiency in Python and ability to analyze Java codebases for chunking boundaries.
  • Proven experience designing CI/CD pipelines with delta builds and artifact promotion.
  • Hands-on experience managing OpenAI/Anthropic API keys or self-hosting large models.
  • Demonstrated expertise in security and compliance, including PII protection, role-based access, and secret rotation.

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