Sam Oliver

AI Solution Architect – GenAI & Azure AI (Contract, Remote) We’re looking for a senior AI Solution Architect to lead the design of generative AI solutions built on Microsoft’s cloud and AI platforms. This role focuses on shaping end-to-end architectures for GenAI use cases and guiding delivery teams through to production. The role: You’ll own solution architecture across multiple generative AI initiatives, working from early use-case definition through to implementation. The focus is on designing scalable, secure, and production-ready AI solutions using Azure and Microsoft AI services. What you’ll be doingDesigning end-to-end architectures for generative AI and AI-driven applicationsTranslating business requirements into Azure-based solution designs and delivery approachesDefining patterns for LLM-enabled solutions, including search-augmented and retrieval-based architecturesMaking architectural decisions around Azure services, integration patterns, and deployment modelsProviding technical leadership to AI and engineering teams during deliveryReviewing solution designs and implementations to ensure quality, performance, and securityTechnical environmentMicrosoft Azure cloud services and PaaS componentsAzure AI and generative AI platforms (including LLM-based services and search-driven AI)Cloud-native architectures (serverless, containers, managed services)CI/CD pipelines and DevOps practices within Microsoft ecosystemsPython and/or modern Microsoft application stacksContract detailsInitial 3-month contract, guaranteed extension to 6 months (with strong potential to extend further)Fully remote€400–€425 per day

We’re hiring an AI Program Manager to take ownership of a central AI delivery function and ensure high-impact AI initiatives move from idea to production at pace. This role is focused on execution, coordination, and decision-making across a broad set of stakeholders, rather than hands-on technical delivery. The role: You’ll be accountable for running a multi-stream AI program, balancing delivery momentum with governance, risk control, and transparency. Acting as the connective tissue between business leaders and technical teams, you’ll help shape how AI work is assessed, prioritised, and delivered across the organisation. What you’ll doLead the planning and execution of a portfolio of AI initiatives, with full accountability for timelines, funding, risks, and outcomesBring together teams across product, data, AI/ML, engineering, and security to deliver against shared objectivesPut in place clear intake and decision frameworks to evaluate AI opportunities and focus effort where it delivers the most valueActively manage delivery constraints, interdependencies, and trade-offs across multiple workstreamsContinuously evolve delivery processes to improve throughput, predictability, and stakeholder confidenceWhat you bringExtensive experience leading large-scale programs in complex, matrixed organisationsA strong track record of managing ambiguity, competing priorities, and senior expectationsWorking knowledge of how AI and data products are developed, validated, and deployed into live environmentsExperience designing operating models, governance forums, and prioritisation mechanismsClear, confident communication style with the ability to influence at executive levelA practical, results-oriented mindset with a bias toward action over theoryAI program delivery experience is a must have

We’re looking for a Data Engineer to help build and scale the data foundations that power modern AI and generative AI solutions. This role is focused on designing resilient data pipelines that support advanced analytics, ML, and LLM-driven use cases across a range of data types. The role: You’ll work closely with AI, ML, and platform teams to shape how data is collected, processed, and made available for downstream intelligence. The focus is on robust engineering, clean data, and systems that can scale as AI use cases move into production. What you’ll be doing:Building and maintaining Python-based data pipelines that handle ingestion, transformation, and enrichment of both structured and unstructured dataApplying AI-assisted techniques to data preparation, including classification, extraction, and feature creation to support ML and LLM workflowsConnecting data pipelines into Azure-based platforms, including data lakes and cloud-native servicesEnsuring pipelines are reliable and performant through testing, monitoring, and continuous optimisationPartnering with data scientists, AI engineers, and platform teams to support end-to-end AI deliveryWhat we’re looking for:Solid hands-on experience as a data engineer, with Python as a core languageProven experience delivering data pipelines in production environments at scaleExposure to AI, ML, or generative AI use cases within data platformsPractical experience working with Azure Data Lake and related Azure data servicesA strong engineering mindset with attention to data quality, system reliability, and performanceComfortable operating in collaborative, cross-functional teams