Enterprise AI Architect

pbHelp us engineer the future of Enterprise AI — without compromising control, security or technological independence. /b /p pAt bBig Industries /b, we're expanding our Data AI expertise and looking for an experienced bEnterprise AI Architect /b 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. /p h3Your role /h3 pAs 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. /p h3What you'll be doing: /h3 ulliDesign and implement GenAI applications, RAG solutions, AI agents and Machine Learning architectures. /liliArchitect AI platforms using Databricks, AWS, Kubernetes and open-source technologies. /liliDesign sovereign and hybrid AI architectures, balancing innovation, security, portability and control. /liliEstablish MLOps and LLMOps practices for deployment, evaluation, monitoring and lifecycle management. /liliIntegrate AI solutions with enterprise data, applications, APIs and business processes. /liliDefine reusable architectural patterns, guide engineers and evaluate emerging technologies. /li /ul h3What we're looking for /h3 pYou're an experienced Software, Cloud, Data or Solution Architect with a passion for Enterprise AI and a pragmatic, hands-on mindset. /p pIdeally, you bring experience with: /p ullibAI Engineering: /b LLMs, RAG, Agentic AI, LangGraph, Python, FastAPI and vector databases. /lilibAI Platforms: /b Databricks, MLflow, AWS Bedrock, SageMaker and open-source AI frameworks. /lilibCloud Infrastructure: /b Docker, Kubernetes, Terraform, GPU infrastructure and hybrid architectures. /lilibMLOps / LLMOps: /b CI/CD, model serving, evaluation, observability and monitoring. /lilibDigital Sovereignty: /b Open standards, data residency, portability, security and vendor independence. Experience with European cloud providers such as OVHcloud, Scaleway or IONOS is a plus. /li /ul pYou don't need to master every technology. What matters most is your ability to translate complex requirements into practical, production-ready AI solutions. /p h3Why Big Industries? /h3 pAt bBig Industries /b, part of bDe Cronos Groep /b, 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. /p pYou’ll have the opportunity to: /p ulliHelp shape and grow our Enterprise AI practice. /liliWork on challenging projects combining AI, Data Engineering and Cloud Architecture. /liliExplore both commercial and open-source AI technologies, including sovereign alternatives. /liliCollaborate with experienced engineers across the Cronos ecosystem. /liliGrow through training, certifications and our Big Industries Academy. /liliJoin a close-knit team that values knowledge sharing, personal growth and having fun together. /li /ul h3Ready to THINK BIG? /h3 pIf 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. /p pbLet's build Enterprise AI that's intelligent, scalable and built for independence. /b /p