Head of AI, Technology & Infrastructure

Soil Capital

Head of Technology driving innovative AI and data solutions at Soil Capital. Overseeing technology strategy and platform development in a hybrid role based in Louvain-la-Neuve.

Posted 6/28/2026full-timeLouvain-la-Neuve • 🇧🇪 BelgiumLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining and executing technology and data strategies within AgTech, focusing on AI/ML, cloud infrastructure, and data analytics. Proven ability to lead engineering teams and drive productization of data science initiatives from proof-of-concept to production.

Highest-signal resume keywords

10+ Years Experience In Software EngineeringCloud Infrastructure TechnologiesAI/ML TechnologiesTechnology Strategy ExecutionAgTech Familiarity

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringPlatform ArchitectureData Analytics ArchitectureAutomation StrategyProductization Of Data ScienceCloud-Native ArchitecturesKubernetesData Lakehouse ArchitecturesModel-Agnostic AI Platform Design

Soft Skills

Technical CuriosityCollaborationContinuous Learning

Tools & Technologies

Microsoft Fabric

Industry Keywords

AgTechEnvironmental DataCarbon AccountingClimate-Related Platforms

Tech Stack

Tools & technologies

CloudKubernetesVue.js

About the role

Key responsibilities & impact

Define and articulate a medium- and long-term technology and data vision and roadmap aligned with Soil Capital’s business strategy, products, and data ambitions
Provide an external perspective: stay ahead of industry trends in AI/ML, data engineering, and automation within AgTech, and translate them into concrete opportunities for the company
Serve as the technology voice at the executive level — ensuring the technology roadmap receives the space, investment, and prioritization it deserves alongside product and commercial priorities
Own the automation strategy, including deployment positioning within customer environments
Co-own the AI strategy with the data and product teams
Own the platform and data analytics architecture
Support and elevate the engineering team by fostering a culture of technical curiosity, AI fluency, experimentation, and continuous learning
Identify opportunities to enrich the platform
Accelerate the path from proof-of-concept to production — bridging the gap between data science exploration and scalable, reliable platform features.

Requirements

What you’ll need

10+ years of experience in software engineering or platform/infrastructure roles, with significant experience as a senior architect, VP of Engineering, or Head of Technology
Strong hands-on experience with modern cloud infrastructure technologies (Kubernetes, cloud-native architectures), data platforms, and AI/ML technologies
Proven experience defining and executing a technology strategy in a product-led, data-rich environment — ideally in a scale-up or fast-growing SaaS context
Experience accelerating the productization of data science and AI work (POC → MVP → production)
Familiarity with AgTech, environmental data, carbon accounting, or climate-related platforms
Skills: Familiarity with Microsoft Fabric, data lakehouse architectures, or model-agnostic AI platform design. French and/or Dutch language skills (working language is English).

Benefits

Comp & perks

Health insurance with Alan for you and your family
Reimbursement for commuting by public transport to the office
Remote work flexibility: you can work remotely 2 days per week, with flexibility, provided you coordinate with your colleagues
Excellent office in Louvain-la-Neuve, Belgium (or optionally our London or Paris offices), and the ability to work remotely on a hybrid basis
Company events and travel: join quarterly company events and visit our offices in Paris (France) and London (United Kingdom)