**This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Enablement Lead [gn] Data Intelligence based in Spain.** This role is designed for a hands-on AI leader who will drive the adoption and scaling of artificial intelligence capabilities across an innovative data technology environment. You will define the strategy, architecture, and operational frameworks that enable teams to build and deploy AI-powered solutions efficiently and responsibly. The position combines software engineering expertise, AI infrastructure knowledge, and organizational influence to accelerate product innovation. You will create reusable AI platforms, establish LLMOps and governance practices, and help engineering teams integrate advanced AI capabilities into production systems. Working across product, engineering, and business teams, you will transform AI from an emerging technology into a core organizational capability. This is an opportunity to shape the future of intelligent data platforms while building scalable solutions with measurable business impact. ### Accountabilities: As an AI Enablement Lead, you will own the development and execution of AI enablement initiatives, creating the foundations that allow teams to safely and effectively leverage AI technologies. You will combine technical leadership with strategic vision to accelerate AI adoption, improve engineering workflows, and deliver next-generation intelligent capabilities. - Design and maintain internal AI platforms, orchestration layers, API gateways, and reusable frameworks including advanced RAG architectures and agentic AI solutions. - Partner with product and engineering teams to integrate production-ready generative AI and machine learning capabilities into data platform solutions. - Establish LLMOps and MLOps practices, including governance frameworks, model evaluation processes, monitoring systems, security controls, and privacy standards. - Optimize AI infrastructure performance by managing model costs, token usage, latency, and technology choices across commercial and open-source solutions. - Lead AI enablement initiatives through workshops, technical documentation, architecture guidance, and knowledge-sharing programs. - Drive rapid AI prototyping from proof of concept through production deployment, ensuring solutions are scalable, reliable, and maintainable. - Define standards for AI tooling, including vector databases, embedding strategies, semantic search approaches, and caching mechanisms. - Evaluate emerging AI technologies, vendors, and open-source models to maintain a forward-looking AI strategy. - Establish measurable success metrics for AI adoption, including developer productivity, delivery acceleration, and business impact. ## Requirements: The ideal candidate is a highly technical AI professional with experience building enterprise-grade AI solutions and the ability to influence teams through strong communication and technical leadership. You should combine software engineering discipline with deep knowledge of modern AI architectures and operational practices. - Strong experience as a Senior AI/ML Engineer, LLMOps Engineer, Machine Learning Engineer, or Software Architect building and scaling AI-powered applications. - Proven expertise in enterprise SaaS environments, complex data platforms, or large-scale software ecosystems. - Advanced knowledge of Python or Go, semantic search, vector databases such as Pinecone, Milvus, or pgvector, and AI orchestration frameworks including LangChain or LlamaIndex. - Experience with large language models, prompt engineering, fine-tuning approaches, and building reliable AI-powered workflows. - Strong software engineering practices, including CI/CD, automated testing, evaluation datasets, Docker, Kubernetes, and clean architecture principles. - Experience designing AI governance frameworks focused on security, privacy, performance, and responsible AI adoption. - Ability to proactively identify opportunities and build solutions that address organizational challenges before they become blockers. - Excellent leadership and communication skills, with the ability to align cross-functional teams without direct management responsibility. - Strong written and verbal English communication skills, with the ability to translate complex AI concepts into clear business value. ## Benefits: - Opportunity to lead AI transformation initiatives within an innovative and fast-growing technology environment. - Competitive salary and benefits package. - Flexible work arrangements, including remote or hybrid options. - Collaboration with a diverse and highly skilled team of technology professionals. - Opportunities for professional growth, continuous learning, and career development. - The chance to shape AI strategy, tooling, and product innovation at scale. **How Jobgether works:** We use an **AI-powered matching process** to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! [Why Apply Through Jobgether?](https://jobgether.com/how-jobgether-works) **Data Privacy Notice:** By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1