AI Architect

TAP Air Portugal; Lisboa; On-site; EUR 120,000 - 180,000; Full time

Job summary

TAP Air Portugal is building a Data & AI Centre of Excellence to design scalable and secure AI architectures across the Azure stack, from data ingestion to production. You will lead technical governance, steer the Design Authority, and ensure compliance with security and privacy policies.

The role focuses on GenAI patterns, RAG, agent frameworks, and robust integrations (VNETs, Private Endpoints) with enterprise applications. Experience with Azure OpenAI, ML, Foundry, and Databricks is essential.

Qualifications

• Proven enterprise architecture experience with cloud security, resilience and scalability.
• Strong mastery of Azure AI stack and related services (OpenAI, ML, Foundry).
• Hands-on experience with identity management (Entra ID) and network isolation.
• Deep knowledge of GenAI patterns (RAG, grounding, evaluation).
• Experience with Databricks and MLOps/LLMOps practices.

Responsibilities

• Design scalable and secure AI architectures from data ingestion to production.
• Define standards, guardrails, and governance across all AI initiatives.
• Lead the technical stream of Design Authority and ensure security/compliance alignment.
• Advance CoE technical framework, IaC templates, observability and reusable patterns.
• Provide guidance on GenAI patterns, agent frameworks, and partner solutions.

Skills

Enterprise Architecture

Cloud Security

Data Governance

GenAI Architectures

MLOps/LLMOps

Azure Stack

Entra ID

Databricks

LLM Security

Vector DBs

Tools

Azure OpenAI

Azure Machine Learning

Azure AI Foundry

Entra ID

VNETs / Private Endpoints

Databricks

Job 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.

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.

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.

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.