AI Architect

Job not on LinkedIn

🕒 September 8

🇵🇹 Portugal – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

🗣️🇧🇷🇵🇹 Portuguese Required

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Logo of Ignít - A Claranet Portugal Company

Ignít - A Claranet Portugal Company

201 - 500 employees

Founded 2022

🔒 Cybersecurity

🤖 Artificial Intelligence

🏢 Enterprise

Cybersecurity • Artificial Intelligence • Enterprise

Ignít - A Claranet Portugal Company is a Portugal-based IT services and managed solutions provider operating as part of the Claranet group. It helps organizations modernize and secure their technology by delivering cloud & infrastructure (on-prem, private, hybrid, public), cyber security services (protection, monitoring, mitigation and training), Data & AI (data architecture, governance, privacy and intelligent applications), applications modernization and workplace solutions. Ignít serves public sector, financial services, healthcare, industry & utilities, retail, telco/media and other enterprise customers, focusing on digital transformation, security and managed operations.

📋 Description

• 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 and supply chain solutions, including industrial technology and automation for pharmaceutical, logistics, and material processing environments

🎯 Requirements

• 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 • 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

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