AI Engineering Director
Visium SA
| Company | Visium SA |
| Category | Engineering |
| Location | Barcelona |
| Remote | On-site (inferred) |
| Employment | Full-time |
| Level | Director |
| Salary | Not stated by the employer |
| Posted | 18 May 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (workable) |
Description
Visium 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. We'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. We'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. Role As an AI Engineering Director, you will lead strategic AI and data programs across key enterprise accounts, acting as the senior client interface and ensuring successful delivery of high-impact engagements. Your mission is to drive account growth, oversee complex AI transformations, and serve as a trusted advisor to senior stakeholders across R&D, Digital, Innovation, and executive teams. You will combine AI technical depth with consulting delivery experience, client-facing leadership, and commercial ownership to deliver sustained client value and business expansion. You will also contribute to talent development and help shape the strategy and growth of Visium’s AI offering, with a focus on Life Sciences and Specialty Chemicals clients. Key Responsibilities: Lead and grow strategic accounts across key Specialty Chemicals players, identifying opportunities to expand engagement scope and convert pipeline into long-term partnerships. Support both existing account growth and new business development by contributing to presales, upselling, account expansion, and opening new client relationships. Own and steer the delivery of complex, multi-stream AI and data programs, ensuring technical excellence, business alignment, and measurable impact. Act as executive sponsor and trusted advisor to senior stakeholders (including C-Level), building deep, long-term relationships across R&D, Digital, and Innovation teams. Provide hands-on technical and strategic guidance to delivery teams, ensuring high-quality execution, resolving blockers, and safeguarding outcomes. Guide the delivery of AI solutions across applied machine learning, GenAI systems, LLM-based applications, AI agents, MLOps, model deployment, evaluation, monitoring, and production AI workflows. Mentor and develop consultants and engineers, fostering a high-performance culture and supporting career growth in collaboration with the People function. Contribute to the evolution of the Specialty Chemicals strategy, including hiring decisions, thought leadership, and shaping the firm’s positioning in the market. Requirements To succeed in this role, you bring a combination of expertise, experience, and skills including: Strong academic background in Data Science, Machine Learning, Computer Science, Engineering, or a related field. Proven experience leading end-to-end AI or data transformation programs in complex enterprise environments. Strong technical credibility with hands-on understanding of AI/ML systems and delivery at scale. Deep technical expertise across modern AI engineering, including applied machine learning, GenAI systems, LLM-based applications, AI agents, MLOps, model deployment, evaluation, monitoring, and production AI workflows. Experience delivering AI and data use cases end-to-end on enterprise platforms, translating complex business problems into scalable technical sol
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