AI Platform Architect

AI Platform Architect | Dusseldorf | Hybrid | €135k+

AI Futures are supporting a search for an AI Platform Architect. This is a rare opportunity to join a business operating at the centre of Industry 4.0. Our software powers production systems, connected devices, and IIoT platforms across the world's most demanding industrial environments.

Your Responsibilities

• Define and own the technical vision for the AI engineering platform - where it needs to go, how it gets there, and what the architecture needs to look like to support the engineering organisation at scale.
• Remain hands-on: design and build platform capabilities, contribute directly to the codebase, review architectures, and set the quality bar through your own work as much as through influence.
• Evolve the existing AI harness and agentic engineering infrastructure — improving reliability, expanding capability, and hardening the platform for production use across diverse engineering teams and environments.
• Build and publish internal SDKs, APIs, and tooling that make AI capabilities accessible to engineers regardless of their AI familiarity.
• Design and implement RAG pipelines over internal codebases, documentation, and engineering knowledge.

Your Profile

• Production-grade AI platform engineering - you've built systems that engineers depend on daily, not demos or prototypes.
• LLM integration at scale: API design, model selection and evaluation, context management, latency and cost optimisation, and the operational realities of running LLMs in production.
• RAG architecture: vector stores, chunking strategies, retrieval evaluation, and the failure modes that only become visible at scale or in a complex codebase.
• Internal developer platforms, SDKs, and APIs - you understand what makes a platform genuinely adoptable versus theoretically elegant.
• Cloud platform depth on at least one of Azure, AWS, or GCP.
• CI/CD, modern engineering practices, and experience integrating AI capabilities into delivery pipelines rather than alongside them.
• Platform observability: logging, metrics, tracing, and evaluation frameworks for AI systems where correctness is harder to measure than uptime.
• Security and governance in a regulated or compliance-aware engineering environment - data handling, access controls, and audit requirements that go beyond standard SaaS defaults.
• Experience working within Manufacturing, Automotive, Industry 4.0.
• Very good German skills and good English skills, both written and spoken

Competitive Salary and total package.

Hybrid Working.

If you are interested in this position, please apply with your up-to-date CV.

AI Futures Ltd | Filling the AI skills gap ®