04/30/2026 updated
100 % available
AI Architect - AI Security & Agentic Systems
Bilbao, Spain
Only remote
MSc in Artificial IntelligenceArtificial IntelligenceAmazon Web ServicesArchitectureAuditingMicrosoft AzureCloud ComputingManagement AccountingFault ToleranceGovernanceMoulderOWASPCarry Out AssessmentsIso/iecLarge Language ModelsTooling Assembly and Dismantling
Summary
I design and govern production GenAI and agent platforms that run safely at enterprise scale, multi-cloud (Azure/AWS), audit-ready by design, with security, evaluation, and cost controls built in.
Enterprise GenAI Platform Architecture
Reference architectures and standardized entry points/contracts across Azure & AWS. LLM gateway standards (request/response envelopes, routing/fallback, rate limits, budget + cost attribution, graceful degradation) and governed RAG retrieval systems.
Agentic AI Architecture & Controls
Tool-use patterns and MCP tool connectors. Identity & permission-scoped execution, approval boundaries for irreversible actions, managed memory policy, runtime budgets, and traceability with replayable traces.
GenAI Security, Evaluation & Assurance
Policy-as-code guardrails, enforced data boundaries, permissioned retrieval/tool access, prompt-injection & leakage controls, adversarial red-teaming, and security-grade observability. Independent assurance assessments with severity-rated findings + evidence, fix verification criteria, and control mapping (OWASP LLM, NIST AI RMF, EU AI Act).
AI Governance & Compliance Readiness
EU AI Act & ISO/IEC 42001 readiness: AIMS ownership/controls, continuous evidence in production, audit-ready decision records, evaluation + release gates, and architecture review boards.
Cloud & Tooling
Azure OpenAI, Azure AI Foundry, Amazon Bedrock (Agents/AgentCore), Databricks, MLflow, Terraform, vector search / vector DB patterns, and orchestration (framework-agnostic; LangChain/LangGraph).
Experience
Professional experience10+ years
Freelancer since2026
Languages
EnglishFluentSpanishNative speaker
Project history
Leading Azure/AWS multi-cloud regulated environment for 100M+ end customers. Delivered 32M/year in value through GenAI adoption across Azure & AWS, moving 60+ use cases into production via platform patterns and architecture governance.
Enabled 2,000+ internal users and 100+ initiatives by architecting and delivering a group-wide GenAI platform MVP with vector search, prompt library patterns, and CI/CD, reducing enablement time from months to weeks.
Shortened sales-to-installation cycle time by 35% by leading systems architecture and AI-enabled automation patterns for smart home, solar, and EV charging platforms serving 6M customers.