AI Engineering Director

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.

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.

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 solutions.
• →Proven experience delivering large-scale technical programs in a consulting or client-facing environment.
• →Demonstrated ability to work directly with senior client stakeholders, including C-Level, R&D, Digital, Innovation, and technical leadership.
• →Strong track record in commercial growth, including presales, upselling, account expansion, new business development, or identifying new client opportunities.
• →Proven leadership experience in hiring, mentoring, and developing high-performing AI, data science, or engineering teams.
• →Excellent communication and presentation skills, with the ability to simplify complex AI topics and drive decision-making at senior levels.
• →Experience in Life Sciences and/or Specialty Chemicals is a strong plus, especially in AI, data, R&D, Digital, Innovation, or enterprise transformation use cases. However, deep industry expertise is not mandatory.
• →Entrepreneurial mindset with a strong bias for ownership, impact, and building new opportunities.
• →Fluency in English required; French and/or German are a plus.