Lead AI Platform Engineer for enterprise AI platforms

Enfint; Warszawa; On-site; PLN 392,000 - 588,000; Full time

Job summary

Enfint ищет специалиста по AI и архитектуре платформ для реализации enterprise‑scale AI и решений на облаке. Вы будете разрабатывать и разворачивать AI‑платформы, работая с командами инженеров, архитекторов и бизнес‑пользователей.

Требуется опыт внедрения крупных AI/ML проектов, глубокие знания Databricks, Spark, Delta Lake, Azure и CI/CD, а также навыки архитектурного проектирования и наставничества команд.

Qualifications

• 10+ лет опыта в data engineering, software engineering, platform engineering или сопутствующих областях
• Опыт разработки и внедрения крупных AI/ML решений
• Сильное владение Python и SQL
• Опыт работы в многоконтурной среде и с корпоративными проектами
• Навыки коммуникации и управления стейкхолдерами

Responsibilities

• Разрабатывать, разворачивать и поддерживать enterprise‑scale AI и платформенные решения
• Рlead end‑to‑end delivery of AI engineering and AI platform initiatives
• Интегрировать AI-решения в крупные data-платформы и аналитические стек�

Job description

Описание

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

Задачи

• 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

Требования

• 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

Условия

• 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