Lead AI Platform Engineer for enterprise AI platforms

i2d consulting delivers enterprise-scale AI, data platform, cloud, and platform engineering solutions for complex enterprise environments.

• 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 the 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.

• Strong expertise in AI Engineering and AI Platform Architecture;
• Experience with Large Language Models (LLMs), Natural Language Processing (NLP), MCP servers, and agentic workflow deployment;
• 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, including Azure Databricks, Azure Functions, Azure Synapse, Microsoft Fabric / Azure Fabric, and 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;
• 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;
• Ability to analyze business and technical requirements and 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;
• 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;
• Experience designing reusable AI frameworks, components, and platform capabilities;
• Nice to have: production-grade AI systems, Generative AI implementation, advanced LLM-based solution development, agentic AI and workflow orchestration, MCP servers, Streaming Machine Learning, vector databases and vector search, Kubernetes-based AI deployment, infrastructure-as-code, AI platform monitoring and observability, enterprise AI platform governance and lifecycle management, enterprise architecture and platform teams, mentoring engineering teams and providing technical leadership.

• Contract opportunity;
• 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;
• Challenging and innovative AI platform assignments.