🛠 Tech Stack

💼 About This Role

You'll act as a bridge between business, data, and technology, translating strategic objectives into architectural solutions based on AI and GenAI. You'll design solution architectures for traditional ML, GenAI, LLMs, RAG, and intelligent agents. You'll support defining AI use cases from discovery to technical feasibility and scaling.

🎯 What You'll Do

• Bridge business, data, and technology for AI solutions
• Design AI solution architectures (ML, GenAI, LLMs, RAG)
• Evaluate and recommend AI platforms and frameworks
• Conduct AI maturity assessments and adoption roadmaps
• Guide build/buy/blend decisions for AI solutions

📋 Requirements

• Solid experience in Solution Architecture, Data Architecture, or AI Architecture
• Knowledge of Machine Learning, GenAI, LLMs, embeddings, RAG, fine-tuning
• Experience with cloud platforms and AI services (AWS, Azure, GCP)
• Familiarity with MLOps/LLMOps and data analytics

✨ Nice to Have

• Experience with GenAI applied to business (chatbots, copilots)
• Knowledge of Responsible AI, security, privacy, and LGPD
• Experience in consulting or digital transformation projects

🎁 Benefits & Perks

• 🎯 Career growth in a leading bank
• 🏢 Hybrid work model
• 💡 Innovation culture
• 🌍 Diversity and inclusion initiatives

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical interview· 60 min
3. 3Architectural deep dive· 60 min