AI Architect (Portugal - Remote)

Location:

We're fast learners, hardworkers, natural collaborators... and we Make Modern Happen!

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

If you shareour vision, join us!

Right now, weare looking for an AI Architectto integrate our Talent team.

Yourresponsibilities include:

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

You must have:

• 5+ years of experience in architecture or AI engineering.
  
• Proven experiencebuilding GenAI / LLM solutions in production.
  
• Strong proficiency inPython.
  
• Hands-on experience withorchestration frameworks (LangChain, LlamaIndex, etc.).
  
• Practical knowledge ofvector databases and embedding models.
  
• Experience deployingmodels via cloud APIs or self-hosted runtimes.
  
• Fluency in Portuguese.
  
• Industry experience in one or more of the following domains: Pharmaceuticaltechnology and solutions, Supply chain automation and logistics, Technologysolutions for material processing (including paper, tissue, and tobacco), Intelligentmanufacturing & supply chain solutions.
  

We value:

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

Weoffer:

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

Workplace:Portugal –Remote.

Details

Originally posted on Himalayas