AI Architecture Analyst – Senior

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Assist in defining and evolving architecture standards for AI, GenAI, and Machine Learning;

• Develop and sustain technical documentation, blueprints, guides, and architectural references;

• Facilitate the creation of solutions utilizing RAG, embeddings, intelligent agents, and vector search;

• Evaluate AI solutions for compliance with corporate standards, identifying risks and areas for enhancement;

• Support technical teams in implementing AI best practices, security measures, governance, and observability;

• Engage in the advancement of LLMOps, MLOps, and AI governance processes;

• Contribute to workshops, technical discussions, and initiatives within the Architecture and AI Center of Excellence (CoE);

• Stay updated on trends and technologies related to GenAI, LLMs, and intelligent agents.

⛳️ Requirements

• Proven experience in enterprise solution architecture and distributed integration;

• Understanding of REST APIs, microservices, messaging, event-driven architectures, DDD, SOLID principles, hexagonal architecture, and contemporary architectural patterns;

• Familiarity with architectural and documentation frameworks such as TOGAF, ArchiMate, C4 Model, or similar methodologies;

• Development experience in Python, with additional experience in Java or Node.js being advantageous;

• Knowledge of AI frameworks and libraries like LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, or AutoGen;

• Experience with LLMs, RAG, embeddings, prompt engineering, grounding, chunking, reranking, and vector search;

• Familiarity with AI platforms and services including Vertex AI, Azure AI Foundry, Azure ML, Amazon Bedrock, SageMaker, OpenAI API, Gemini API, or Claude API;

• Understanding of relational databases, NoSQL, and vector databases such as PostgreSQL, MongoDB, ChromaDB, Pinecone, Weaviate, Milvus, OpenSearch, or Elasticsearch;

• Experience in cloud computing with GCP, AWS, or Azure;

• Knowledge of observability, monitoring, and evaluation of AI using tools like MLflow, LangSmith, Evidently, Arize, Grafana, Datadog, or OpenTelemetry;

• Familiarity with Git, CI/CD, Docker, Kubernetes, Terraform, and pipeline automation;

• Understanding of LGPD (Brazilian General Data Protection Law), security, governance, and responsible AI usage.

🏝️ Benefits

• Commitment to diversity and inclusion;

• We actively encourage Black individuals, women, persons with disabilities, members of the LGBTQIA+ community, and individuals of all ages to learn more about us and apply for this role.