[Hiring] AI Architect @Claranet

Role Description

This is a remote position. We're fast learners, hard workers, natural collaborators... and we Make Modern Happen!

Our ambition is to unlock the potential of our digital world so that organisations everywhere can innovate and thrive securely. We aim to achieve this goal by bringing together the world’s most talented people and the most powerful technologies, combining them to address our customers' challenges and to build something stronger together.

If you share our vision, join us! Right now, we are looking for an AI Architect to integrate our Talent team.

• Architect and deliver end-to-end Generative AI solutions, from PoC to production.
• Design RAG pipelines, agent-based systems, and LLM orchestration layers.
• Evaluate and select models, frameworks, and tools based on performance and cost.
• Establish best practices and governance for responsible AI usage.
• Mentor engineering teams and translate business requirements into technical architecture.
• Apply domain expertise in intelligent manufacturing & supply chain solutions, including industrial technology and automation for pharmaceutical, logistics, and material processing environments.

Qualifications

• 5+ years of experience in architecture or AI engineering.
• Proven experience building GenAI / LLM solutions in production.
• Strong proficiency in Python.
• Hands-on experience with orchestration frameworks (LangChain, LlamaIndex, etc.).
• Practical knowledge of vector databases and embedding models.
• Experience deploying models via cloud APIs or self-hosted runtimes.
• Fluency in Portuguese.
• Industry experience in one or more of the following domains: Pharmaceutical technology and solutions, Supply chain automation and logistics, Technology solutions for material processing (including paper, tissue, and tobacco), Intelligent manufacturing & supply chain solutions.

Requirements

• Experience with AI gateways and model routing (e.g., LiteLLM, Bearer).
• Knowledge of LLM observability, tracing, and evaluation tools (e.g., LangSmith, Arize Phoenix).
• Experience with MLOps, CI/CD for ML, and containerized environments.
• Experience with cloud platforms (AWS, GCP, Azure).
• Familiarity with AI agent frameworks (LangGraph, AutoGen, CrewAI).
• Fluency in English.

Benefits

• Regular professional development;
• Health insurance, with family package;
• Regular teambuilding programs;
• Friendly workplace.

Company Description

Claranet, Make modern happen!