**Responsabilities: **

Design and lead end-to-end AI architectures in collaboration with business and technical teams
Translate business requirements into scalable, secure, and resilient technical solutions
Define and integrate AI systems across data, infrastructure, and application layers
Ensure compliance with security, privacy, and resilience-by-design principles
Stay aligned with emerging Data, AI, and GenAI trends and technologies

+5 years in Technical Architecture roles, with AI exposure
Experience designing enterprise-scale and cloud/hybrid architectures (Azure, AWS, private cloud)
Strong knowledge of distributed systems, APIs, microservices and modern engineering practices (CI/CD, IaC, observability)
Experience with legacy modernization and integration
Strong programming skills (e.g. Python, Java, SQL, JavaScript)
Fluent English (Spanish is a plus) and degree in a relevant field

AI / GenAI Expertise

Experience designing enterprise AI platforms and solutions
Strong knowledge of MLOps/LLMOps (lifecycle, deployment, monitoring, drift, versioning)
Experience with RAG, embeddings, vector databases and semantic search
Knowledge of LLM integration, prompt engineering, guardrails and AI observability
Understanding of AI governance, security and responsible AI principles
Experience integrating enterprise AI services (e.g. Azure OpenAI)
Knowledge of secure architecture (identity, access, secrets management)

Technical AI Architect

Key skills