Head of Data & AI Engineering Location: Flexible(UK/EU) with hybrid working Salary: £Competitive + ExecutiveBenefits Package + Equity Apply via email or via LinkedIn's application process. Weare an equal opportunities employer and welcome applications fromall suitably qualified persons, regardless of race, sex,disability, religion/belief, sexual orientation, or age. About theRole We're seeking an exceptional Head of Data & AI Engineeringto join us at CrossMoore. We build practical applications ofmultimodal language models ("AI") that solve real business problemsat scale. As a key member of our team, you'll own our data platformstrategy and implementation, enabling our data-driven businesses,customers and AI agents to operate effectively across our portfolioof companies in gaming, beauty, legal tech, and beyond. Your rolecombines the practical implementation of AI agents withenterprise-scale data engineering techniques. You'll build andscale our data infrastructure to support internal platforms andcustomer deployments, while developing new approaches to automatetraditional data engineering workflows using our private AI agentplatform. What We Offer: - Competitive salary and equity package -Comprehensive healthcare and benefits package - Flexible locationand working arrangements, including unlimited PTO - Significantinvestments in your professional development - The opportunity toshape the practical application of AI at scale We are an equalopportunities employer and welcome applications from all suitablyqualified persons, regardless of race, sex, disability,religion/belief, sexual orientation, or age. Key Responsibilities:Strategic Leadership - Own and deliver our data strategy across ouroperating companies - Design and implement the data and containerinfrastructure underpinning our cloud and AI platforms - Developand maintain strategic technology partnerships with our hyperscalerand private partners. - Create governance frameworks that protectinnovation while ensuring compliance with CyberEssentials+ andother standards. Technical Leadership - Build enterprise-scalesolutions across hybrid cloud infrastructure (AWS, Azure, privatedatacenter) - Implement AI pipelines using hybrid graph RAGarchitectures for large-scale data processing - Develop graph andrelational database solutions for complex relationship mapping -Drive infrastructure-as-code practices and a DevOps culture -Architect unified data systems across relational, vector, and graphmodels The Impact You'll Make - Build the data foundations enablingrapid MLM product deployment - Develop and lead a talented dataengineering team - Enable data-driven decision-making across ouroperating companies - Create efficient, scalable systems thatsupport business growth - Establish practical data governance thatenables innovation while complying with CyberEssentials and otherrelevant legislation or security frameworks - You'll develop andcreate a skills-sharing culture in the organisation - You'llattend, talk at and possibly lead or create external user groupsaround our technology sets What Sets You Apart - You've built andscaled enterprise data platforms adhering to IaC principles - Youhave deep expertise in modern data engineering languages, ideallyPython or Go - You translate complex requirements into practicaltechnical solutions - You communicate effectively with bothtechnical and business stakeholders - You excel in fast-pacedenvironments where you can shape technology direction TechnicalFoundation We don't expect anyone to tick every box in this list,but ideally you'll have some combination of experience covering: -Cloud Platforms: Extensive experience with AWS or Azureinfrastructure, driven by IaC technology. - Containerisation:Experience with docker, k8's, ECS, EKS, Azure Container Apps orequivalent. - Data Engineering: Hands-on experience with real-timestreaming architectures, CosmosDB, Redshift, Glue, Kinesis, EMR,Data Factory, Synapse or equivalents. - AI/ML Systems: Productionimplementation of multimodal language models, gen AI fine-tuning.architectures, machine learning techniques, and hybrid knowledgegraph RAG architectures. - Data Platforms: Deep knowledge of graphdatabases and distributed systems. - DevOps: Strong background inTerraform, CloudFormation or equivalent infrastructure automation.- Security: Experience implementing CyberEssentials+ compliantenterprise infrastructure. About Us CrossMoore is buildingpractical applications that combine traditional cloud technologieswith generative AI tools that deliver measurable business value.While others focus on advancing language models, we're creatinghuman-led, AI-powered businesses that solve real-world problems.Our approach combines: - Experienced business and technology teams- Domain-specific data - AI agents built on our custom multimodal,production-grade platform - Familiar cloud technologies ...todeliver highly automated and scalable enterprises. We're creating afuture where small teams of experts can build and runhyper-efficient businesses, and we're looking for pragmaticinnovators to help us deliver this vision.