Director of Artificial Intelligence

AI Futures are the exclusive Search Partner for one of the largest Data & AI transformation programmes in the Renewable Energy Industry. Transforming the business with AI, with significant investment behind the mandate to solidify their position as the No.1 in their sector in Germany. This is a rare opportunity to join a new leadership team at a pivotal moment with the budget, executive mandate, and data assets already in place.About the RoleA leading European enterprise is embarking on a large-scale transformation to become a fully data- and AI-driven organisation. With strong executive sponsorship and significant investment, the business is building a Agentic AI Unit with intelligent automation across all business units.As Director of & AI, you will take full ownership of defining, building, and scaling the organisation’s data and AI capabilities, playing a pivotal role in shaping the company’s long-term digital future.AI Strategy & ArchitectureDefine and own the enterprise AI roadmap - LLM deployment, agentic systems, RAG infrastructure, and the standards for how AI is built and shipped across the organisation.Lead the transition from legacy data environments to AI-native, cloud-based architectures enabling real-time inference and continuous model improvement.Own the AI infrastructure stack: LLM orchestration frameworks, vector databases, feature stores, and GPU compute provisioning.Agentic & Generative AIDesign and implement production-grade RAG architectures and retrieval pipelines, ensuring low-latency, high-accuracy outputs across enterprise data sources.Build and operationalise agentic AI systems - multi-agent workflows, tool-augmented LLMs, and autonomous decision-support systems.Lead the evaluation and adoption of emerging LLM tooling: LangChain, LlamaIndex, Azure AI Studio, OpenAI APIs, and open-source alternatives.MLOps & PlatformEstablish scalable MLOps pipelines covering model training, versioning, deployment, monitoring, and retraining in a regulated enterprise context.Implement AI governance and compliance frameworks: model risk management, explainability standards, audit trails, and alignment with regulatory obligations.Drive the modernisation of legacy systems, enabling seamless migration to cloud-native AI platforms (Azure / AWS).Leadership & StakeholderBuild, lead, and scale a high-performing AI organisation from 12 to 30+ team members within 12–18 months, including hiring and organisational design.Partner with senior stakeholders to identify and prioritise high-impact AI initiatives across the business.Act as a trusted advisor to executive leadership, translating AI capabilities into clear business cases and measurable value.Ensure data quality, security, and regulatory compliance within a complex enterprise environment.Your ProfileExtensive leadership experience in AI within large-scale enterprise organisations.Hands-on expertise in LLM deployment, RAG architecture, and agentic AI systems in a production environment not just proof of concept.Proven track record of building and scaling high-performing AI teams, including hiring and organisational design.Deep understanding of MLOps: model deployment pipelines, containerisation, feature engineering at scale, and production monitoring.Experience defining and executing AI strategies at enterprise scale, with measurable business outcomes.Strong background in cloud-native AI platforms Azure or AWS at enterprise scale.Excellent stakeholder management and communication skills, with experience engaging C-level executives.Fluent in English; German is a strong advantage.What’s on OfferA high-impact executive leadership role within a major European organisationFull ownership of a business-critical data & AI transformation programmeOpportunity to shape the future of AI adoption at enterprise scaleCompetitive executive compensation package of up to €350,000 totalAI Futures Ltd | Filling the AI skills gap ®