We're hiring AI Architects who define how AI is actually built and deployed inside modern engineering organizations.
This is not a strategy-only role . You'll design production-ready AI architectures, build proof-of-concepts that earn trust with technical stakeholders, and guide delivery teams across multiple client engagements.
You'll work with companies across fintech, healthcare, SaaS, and PE-backed portfolios , helping them move from experimentation to scalable, governed AI adoption .
What You'll Do
Define AI integration architectures tailored to real-world engineering environments
Assess client maturity (CI/CD, testing, AI readiness) and design practical adoption strategies
Architect agentic workflows, RAG systems, and AI-assisted delivery pipelines
Build proof-of-concepts that demonstrate measurable impact (accuracy, efficiency, cost)
Lead technical workshops during pre-sales to validate feasibility and scope
Provide hands-on technical oversight to engineering teams across active engagements
Establish prompt governance models, evaluation frameworks, and integration patterns




Contribute to internal reference architectures and reusable playbooks
Experience
10+ years in software engineering, architecture, or technical consulting
Strong client-facing experience with enterprise organizations
Core Expertise
AI & LLM Systems
LLM integration patterns: RAG, tool use, function calling, agent orchestration
Prompt architecture, governance, and versioning at scale
Evaluation & observability frameworks (e.g., LangSmith, Braintrust, custom solutions )
Hallucination mitigation strategies and human-in-the-loop design
Strong judgment on when NOT to use AI
Architecture & Engineering
Distributed systems and API design (REST, GraphQL, gRPC)
CI/CD pipelines and engineering performance metrics (DORA)
Cloud platforms ( AWS, Azure, or GCP )
Infrastructure-as-code ( Terraform or similar )
Security, compliance, and data privacy in AI systems
Client-Facing & Delivery
Pre-sales technical v

📌 AI Architect (Madrid)
🏢 Forte Group
📍 Madrid