AI Architect
RemoteLisbon, PortugalseniorFull-time
- Posted
- today
- Source
- LinkedIn (remote, Europe)
- Field
- Engineering
Skills
Machine LearningSecurityAzureCI/CDAI
Description
Join TAP Air Portugal Data & AI Centre of Excellence as an AI Solution Architect!
Your mission
Design scalable and secure AI architectures (GenAI + classic ML + Decision Intelligence), from data ingestion to production, ensuring full integration with the Azure ecosystem.
Technical Governance
Lead the technical stream of the Design Authority, defining standards and guardrails for security, privacy, and compliance across all AI initiatives.
AI Platform Strategy
Define and evolve the CoE’s technical framework (reference architectures, IaC templates, observability), ensuring consistency and reusability across projects.Security & Integration: Architect secure integrations (VNETs, Private Endpoints, Entra ID) between models, data, and enterprise applications.
GenAI Patterns
Establish patterns for RAG and Agent-based solutions (orchestration, grounding, evaluation), mitigating hallucination and security risks.
Partner Technical Assurance: Validate the architectural compliance and robustness of solutions proposed or delivered by technology partners, ensuring alignment with corporate standards and policies.
Mentorship
Provide technical guidance to the CoE team and promote best practices among AI Champions.
Must‑Have Requirements
Proven experience in Enterprise Architecture with a strong focus on Cloud Security, Resilience, and Scalability.
Strong mastery of the Azure AI Stack: proficiency with Azure OpenAI / Azure Machine Learning, and familiarity with Azure AI Foundry.Enterprise Security expertise: hands‑on experience with identity management (Entra ID) and network isolation (VNETs, Private Links).
GenAI Mastery: deep knowledge of RAG architectures, Vector Databases, and Agent frameworks.
Nice‑to‑Have
Experience working with Databricks.
Advanced MLOps/LLMOps practices (CI/CD for ML, evaluation frameworks).Familiarity with the EU AI Act and the operationalization of Responsible AI.
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