ppbVisium combines strategy, frontier AI, and deep regulated-industry expertise to build and deploy AI-native systems that reinvent how businesses operate - unlocking the value of AI at scale. /b /p pWe’re not a strategy firm that ships slide decks and walks away. Not a tech consultancy that builds what won’t get adopted. Not a product company chasing problems it doesn’t understand. We’re all three at once: strategy, deep technical and integration expertise, and product, working as one. That combination is our flywheel. Consulting keeps us close to the hardest real‑world problems. Products let us solve them at scale. Every engagement sharpens our products; every deployment makes the next engagement faster, deeper, and more certain. /p pWe’re obsessed with outcomes. While 95% of enterprise AI pilots never reach production, Visium is built to be the 5% delivering productised AI that compounds in value, not point solutions that deliver marginal gains. We are AI‑native, not AI‑adjacent. We don’t bolt AI onto broken workflows; we redesign them with AI at the core. /p h3Role /h3 pAs an AI Solutions Architect, you will design and deliver end‑to‑end AI solutions on top of the client’s AI platform. You will bridge business needs and technical implementation, ensuring AI use cases are scalable, secure, and production‑ready. Working in close partnership with the Data Platform Architect, you will define solution architectures, guide implementation, and drive AI best practices across the organization. /p pYour responsibilities will include: /p ul liDesign and deliver end‑to‑end AI solutions, from proof of concept to production. /li liArchitect AI use cases, including GenAI, RAG, AI agents, and classical ML solutions. /li liCollaborate with business and technical stakeholders to translate requirements into scalable solution designs.



/li liPartner closely with the Data Platform Architect to leverage and evolve the underlying AI platform. /li liDefine and promote AI architecture standards, best practices, and governance. /li liGuide engineering teams throughout implementation, ensuring quality, scalability, security, and compliance. /li liEvaluate emerging AI technologies and frameworks to continuously improve solution design. /li liMentor engineers and provide technical leadership across AI initiatives. /li /ul ul li8+ years of experience in AI Solution Architecture, Machine Learning, Data, or Cloud Engineering roles. /li liProven experience designing and delivering production‑grade AI solutions (e.g., GenAI, RAG, AI agents, ML) on Azure. /li liDeep expertise in Azure AI services, Azure ML, Databricks, Synapse, and related cloud technologies. /li liStrong knowledge of AI/ML pipelines, MLOps, LLMOps, evaluation frameworks, and data governance. /li liSolid understanding of cloud infrastructure, networking, identity, security, monitoring, and deployment. /li liExperience defining AI architecture best practices and guiding solutions from PoC to production. /li liExcellent stakeholder management, communication, and technical leadership skills. /li liExperience mentoring engineering teams and influencing technical strategy. /li /ul h3What we offer /h3 ul liA competitive compensation package /li liA yearly education budget to steep your learning curve /li liA yearly sport budget because a fit body leads to a fit mind /li liA adaptable working culture because your work‑life balance matters to us /li liA position that enables you to have an impact on 1’000s of people, and the whole company’s growth. /li liAn international, knowledgeable, and passionate team with a strong collaborative mindset /li /ul pCheck our LinkedIn and website to learn more about us don’t hesitate to contact us if you have any questions. /p /p #J-18808-Ljbffr

📌 AI Solutions Architect (Barcelona)
🏢 Visium
📍 Barcelona