> Markdown version of [/jobs/ext/2812374-ai-solution-architect](https://www.wearedevelopers.com/jobs/ext/2812374-ai-solution-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Solution Architect - **Company:** Aperam - **Location:** Genk, Belgium - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Data Architecture, Information Engineering, Data Governance, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, SQL Databases, Application Enhancement Tool, Data Ingestion, Pytorch, Large Language Models, IT Architecture, Data Lakes, Scikit Learn, Machine Learning Operations - **Published:** September 10, 2026 - **Apply:** https://www.collegerecruiter.com/job/2858146011-ai-solution-architect ## About the Role * 7+ years of experience in data, analytics or AI roles, with at least 3 years in a senior enterprise AI or solutions architecture capacity. * Proven track record of delivering end-to-end AI/ML solutions in complex, multi-stakeholder environments, ideally from scratch. * Experience in industrial, manufacturing or supply chain contexts is a strong advantage. * Background in building or scaling an AI function, including portfolio management and business case development. Technical Skills * Strong hands-on proficiency with machine learning frameworks (e.g. scikit-learn, TensorFlow, PyTorch) and MLOps practices. * Deep experience with cloud platforms (Azure, AWS or GCP), data engineering pipelines and modern data architectures (data lake, lakehouse). * Nice to have proficiency in programming languages such as Python and SQL; experience with LLM integration, RAG pipelines and GenAI application development is highly desirable. * Solid understanding of data governance, model explainability and responsible AI principles. Business & Leadership Skills * Strong ability to translate business problems into AI solutions, and AI outputs into measurable business value. * Excellent stakeholder management and communication skills, including demonstrated ability to influence at senior levels. * Experience developing AI roadmaps, managing delivery portfolios and presenting to executive leadership. * Entrepreneurial mindset; comfortable operating in ambiguous, fast-moving environments with a bias for action. * Languages: Fluency in English is required; proficiency in French or Dutch is an advantage. ## Description AI Strategy & Portfolio * Define and evolve Aperam's enterprise AI strategy, aligned with business priorities across Enterprise and Industrial domains. * Build and manage a prioritised AI use case portfolio, balancing short-term value delivery with long-term transformational initiatives. * Develop compelling business cases and ROI frameworks to support investment decisions and executive sponsorship. Stakeholder Engagement & Change * Partner with senior business leaders across functions and geographies to identify pain points and translate them into AI opportunities. * Champion AI literacy and change management, supporting teams through the adoption of new AI-powered tools and ways of working. * Communicate complex AI concepts clearly and credibly to non-technical audiences, including executive and C-suite stakeholders. Solution Architecture & Delivery * Architect end-to-end AI/ML solutions, from data ingestion and model development to deployment and monitoring, across cloud and on-premise environments. * Co-ordinate technical design and delivery, working closely with data engineers, data scientists and IT teams. * Define AI architecture standards, governance frameworks and data principles to ensure solutions are scalable, secure and maintainable. * Drive adoption of AI capabilities where they create genuine business value. Vendor & Ecosystem Management * Evaluate, select and manage AI technology vendors and platforms in partnership with IT and Procurement. * Monitor the external AI landscape and bring relevant emerging capabilities into Aperam in a structured, value-focused way. Capability Building * Recruit, build and develop a high-performing AI team including data scientists, ML engineers and AI specialists. * Establish communities of practice and knowledge-sharing mechanisms to scale AI capability across the organisation. ## Related Videos - [AI PowerPlay: Building High-Impact Teams & Transformative Solutions](https://www.wearedevelopers.com/videos/1005-ai-powerplay-building-high-impact-teams-transformative-solutions) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)