Enterprise AI Architect

We're Hiring: Enterprise AI Architect 🚀 GenAI | Agentic AI | MLOps | Digital Sovereignty Help us engineer the future of Enterprise AI — without compromising control, security or technological independence. At Big Industries, we're expanding our Data & AI expertise and looking for an experienced Enterprise AI Architect to help organizations turn AI innovation into secure, scalable and production-ready solutions. We believe Enterprise AI goes beyond experimenting with LLMs. It's about building intelligent applications and platforms that integrate seamlessly with enterprise environments while ensuring data ownership, governance and technological independence. Your role As an Enterprise AI Architect, you'll design and implement enterprise-grade AI architectures, combining Generative AI, intelligent agents, modern data platforms and cloud-native technologies. You'll work closely with customers and engineering teams while helping shape our growing Enterprise AI practice. What you'll be doing:
• Design and implement GenAI applications, RAG solutions, AI agents and Machine Learning architectures.
• Architect AI platforms using Databricks, AWS, Kubernetes and open-source technologies.
• Design sovereign and hybrid AI architectures, balancing innovation, security, portability and control.
• Establish MLOps and LLMOps practices for deployment, evaluation, monitoring and lifecycle management.
• Integrate AI solutions with enterprise data, applications, APIs and business processes.
• Define reusable architectural patterns, guide engineers and evaluate emerging technologies. What we're looking for You're an experienced Software, Cloud, Data or Solution Architect with a passion for Enterprise AI and a pragmatic, hands-on mindset. Ideally, you bring experience with:
• AI Engineering: LLMs, RAG, Agentic AI, LangGraph, Python, FastAPI and vector databases.
• AI Platforms: Databricks, MLflow, AWS Bedrock, SageMaker and open-source AI frameworks.
• Cloud & Infrastructure: Docker, Kubernetes, Terraform, GPU infrastructure and hybrid architectures.
• MLOps / LLMOps: CI/CD, model serving, evaluation, observability and monitoring.
• Digital Sovereignty: Open standards, data residency, portability, security and vendor independence. Experience with European cloud providers such as OVHcloud, Scaleway or IONOS is a plus. You don't need to master every technology. What matters most is your ability to translate complex requirements into practical, production-ready AI solutions. Why Big Industries? At Big Industries, part of De Cronos Groep, we've been helping organizations build modern Data Platforms and Analytics solutions since 2013. Now we're taking the next step: engineering Enterprise AI solutions that are powerful, secure and built for the future. You'll have the opportunity to:
• Help shape and grow our Enterprise AI practice.
• Work on challenging projects combining AI, Data Engineering and Cloud Architecture.
• Explore both commercial and open-source AI technologies, including sovereign alternatives.
• Collaborate with experienced engineers across the Cronos ecosystem.
• Grow through training, certifications and our Big Industries Academy.
• Join a close-knit team that values knowledge sharing, personal growth and having fun together. Ready to THINK BIG? 🚀 If you're passionate about bringing AI into production and believe organizations should remain in control of their data and technology choices, we'd love to meet you. Let's build Enterprise AI that's intelligent, scalable and built for independence.