AI Cloud Architect

Experience

Azure Tech-Owner

• Functional description

  Design, plan and envision the AI reusable core and use-case agents' architecture and its cloud infrastructure. Empower development squads with technical knowledge and proof-of-concepts to support technical discussions about agents.

  Since	Employer	Location	Outsourced
  Mar'25 7.5mo	NOS Technology	Lisbon (Hybrid)	Yes, by Innowave

• Technical skills

  Worked with:

  Artificial intelligence (AI)

  • Large language models (LLM)
  • Azure OpenAI;
  • Google Gemini;
  • Anthropic Claude;
  • Perplexity;
  • HuggingFace open models.
  • Speech models (SpLM)
  • Ultravox;
  • Gemini 2.5 Flash (& Lite).
  • Chat completions, embedding, inference, speech-to-text, optical character recognition...

  Cloud

  • Hypervisor: Google Cloud Platform (GCP) ;
  • Computing: Cloud Run;
  • Memory: Redis Memorystore;
  • Storage: Cloud Storage;
  • Database: Cloud SQL, PostgreSQL and MongoDB Atlas;
  • Event Broker: Cloud Pub/Sub;
  • Network: Google Virtual Private Connection (VPC) and Cloud DNS;
  • Optimization: Cloud Load Balancer;
  • Security: Cloud Armor;
  • AI: Google Vertex.AI, Google Gemini.

  Design

  • Diagram documentation;
  • Software modeling;
  • C4 model
  • Diagrams-as-code.

  Proof-of-concept

  • Programming: Python;
  • Git platform: Github;
  • CI/CD: Github Actions.