Lead AI Platform Engineer

We are looking for an experienced Lead AI Platform Engineer to lead the design, development, implementation, and operationalization of enterprise-scale AI and platform engineering solutions. The ideal candidate should possess extensive expertise in AI engineering, data platforms, cloud technologies, software architecture, and AI/ML platform development. The role requires strong techno-functional capabilities, solution architecture expertise, stakeholder management, and end-to-end experience delivering scalable AI solutions across large and complex enterprise environments. The ideal candidate will work closely with data engineers, architects, platform teams, product owners, analytics teams, and business stakeholders to translate complex business and analytical requirements into robust, secure, scalable, and high-performance AI solutions. Key Responsibilities Design, develop, implement, and operationalize enterprise-scale AI and platform automation solutions.Lead end-to-end delivery of AI engineering and AI platform initiatives.Develop scalable and reusable AI components, frameworks, and pipelines.Design and implement AI solutions covering data ingestion, preparation, AI engineering, model deployment, monitoring, and lifecycle management.Integrate AI capabilities into enterprise data and analytics platforms.Design scalable cloud-native and microservices-based AI deployment architectures.Optimize AI workloads across Databricks, Spark, Delta Lake, and Azure-based data platforms.Implement automation and infrastructure-as-code practices to ensure reproducibility and operational excellence.Develop and deploy AI solutions using Large Language Models (LLMs), NLP, Generative AI, and agentic workflows.Explore and integrate emerging AI technologies, frameworks, streaming ML capabilities, and vector databases.Implement CI/CD, monitoring, observability, and operational processes for AI workloads.Support complete AI solution lifecycle from requirement gathering through development, deployment, and post-implementation support.Collaborate with data engineers, platform teams, architects, analytics teams, product owners, and business stakeholders.Translate analytical and business requirements into clear technical requirements and solution designs.Conduct technical reviews and contribute to architecture and technology decisions.Troubleshoot complex AI, platform, integration, and operational issues.Provide technical leadership during customer and stakeholder workshops and solution discussions.Mentor junior engineers and support technical capability development across engineering teams.Mandatory Technical Skills Strong expertise in AI Engineering and AI Platform Architecture.Experience with Large Language Models (LLMs).Experience with Natural Language Processing (NLP).Experience with MCP servers.Experience with agentic workflow deployment and AI platform architectures.Strong experience with Databricks and Apache Spark.Strong knowledge of Delta Lake and Lakehouse paradigms.Experience integrating AI solutions with large-scale data platforms.Strong Microsoft Azure experience.Experience with Azure Databricks.Experience with Azure Functions.Experience with Azure Synapse.Experience with Microsoft Fabric / Azure Fabric.Experience with Azure Event Hub.Strong experience with CI/CD and automation.Experience with monitoring, observability, and model lifecycle management.Experience with microservices and containerized architectures.Familiarity with Kubernetes.Strong Python and SQL skills.Experience designing secure, scalable, and high-performance AI components.Required Skills 10+ years of experience in data engineering, software engineering, platform engineering, or related technology environments.Strong solution architecture and system design expertise.Proven experience delivering large-scale enterprise technology solutions.Strong AI engineering and data platform expertise.Experience working with cloud-native development patterns.Strong understanding of modern data platforms and Lakehouse architectures.Strong analytical and troubleshooting skills.Excellent stakeholder management and communication skills.Business and technical requirement analysis capabilities.Ability to translate complex analytical requirements into technical solutions.Strong cross-functional coordination abilities.Leadership and mentoring capabilities.Ability to work independently in complex enterprise environments.Strong focus on scalability, reliability, maintainability, and business value.Experience delivering production-grade AI systems would be a preference.Preferred Qualifications Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, Artificial Intelligence, Information Technology, or a related discipline.Professional experience in AI engineering, data platforms, cloud engineering, or software architecture.Experience delivering large-scale AI, machine learning, or data platform solutions.Experience working in multinational or enterprise project environments.Strong experience with Microsoft Azure and cloud-native architectures.Experience designing reusable AI frameworks, components, and platform capabilities.Nice to Have Generative AI implementation experience.Advanced LLM-based solution development.Agentic AI and workflow orchestration experience.MCP server experience.Streaming Machine Learning experience.Vector database and vector search experience.Kubernetes-based AI deployment experience.Infrastructure-as-code experience.AI platform monitoring and observability experience.Enterprise AI platform governance and lifecycle management experience.Experience working with enterprise architecture and platform teams.Experience mentoring engineering teams and providing technical leadership.What We Offer Opportunity to work on large-scale enterprise AI and data platform projects.Exposure to advanced AI technologies including LLMs, Generative AI, and agentic AI.Opportunity to work with Databricks, Spark, Delta Lake, and modern Lakehouse technologies.Exposure to enterprise-level Microsoft Azure cloud technologies.Opportunity to contribute to scalable AI platform architecture and automation.International onsite project opportunity in the Netherlands.Collaborative and technically advanced work environment.Contract opportunity with challenging and innovative AI platform assignments.#AIEngineering #AIPlatform #LeadAIEngineer #GenerativeAI #LLM #NLP #AgenticAI #MCP #Databricks #ApacheSpark #DeltaLake #Lakehouse #Azure #AzureDatabricks #AzureSynapse #MicrosoftFabric #EventHub #MLOps #Kubernetes #Python #SQL #CloudEngineering #DataEngineering #PlatformEngineering #SolutionArchitecture #NetherlandsJobs #OnsiteJobs #ContractJobs If interested please share your profile to careers@i2d.consulting