Senior AI Engineer

Jacobs is developing a Digital & Data Hub in Krakow, undertaking projects across industries including Consumer and Manufacturing, Defence and Security, Energy and Utilities, Financial Services, Government and Public Services, Health and Life Sciences, and Transport.

• 5+ years of experience in data engineering, AI engineering, or related roles, with a strong focus on cloud-based platforms
• Hands-on, production-level experience with Snowflake, including data modeling, performance optimisation, ELT patterns, and integration with analytics and AI workloads
• Strong proficiency in Python, Scala, or similar programming languages
• Solid experience with Databricks, Apache Spark, and modern lakehouse or hybrid data architectures
• Good understanding of machine learning frameworks (e.g. TensorFlow, PyTorch) and how they interact with data platforms
• Practical knowledge of RAG architectures, LLM-powered systems, and agent-based solutions
• Experience working with vector databases, embeddings, indexing strategies, and reranking techniques to improve LLM output quality
• Ability to leverage cloud AI and ML services (e.g. SageMaker or equivalent platforms)
• Experience deploying, monitoring, and operating data and ML workloads at scale in cloud environments
• Strong understanding of core cloud services: compute, object storage, databases, networking, monitoring, and logging
• Excellent analytical and problem-solving skills, with a proactive, ownership-oriented mindset

Nice to have:

• Experience with advanced data indexing strategies and GenAI enablement technologies
• Familiarity with multiple cloud providers or hybrid cloud architectures
• Experience working in consulting, product-driven, or multi-project environments

• Develop and maintain scalable data solutions for large-scale data processing and analytics using modern cloud data platforms (e.g. Databricks, Spark, Delta Lake, MLflow)
• Design, develop, and operate data platforms built on Snowflake, supporting analytical, AI, ML, and GenAI workloads
• Build and maintain robust, automated data pipelines for batch and real-time processing across cloud environments
• Design and optimise cloud-based data architectures enabling AI-driven products and advanced analytics
• Integrate and manage large, complex datasets from multiple internal and external sources, ensuring high performance, reliability, and accessibility
• Implement and manage ETL / ELT workflows using cloud-native services (e.g. AWS Glue, Lambda, Airflow or equivalents)
• Collaborate closely with data scientists, ML engineers, and solution architects to ensure data platforms fully support model development and production requirements
• Enable advanced GenAI use cases, including Retrieval Augmented Generation (RAG), agent-based workflows, and vector-based search solutions
• Monitor, optimise, and troubleshoot data pipelines and platforms to ensure scalability, reliability, and cost efficiency
• Design and develop LLM-based agent solutions and agentic workflows
• Integrate LLM agents with APIs, tools, and data pipelines
• Test, validate, and continuously improve agent behaviours, system performance, and output quality
• Contribute to the evolution of data engineering and AI platform best practices, tooling, and standards

As a Disability Confident employer, Jacobs will interview all disabled applicants who meet the criteria for a vacancy. Support and reasonable adjustments for the recruitment process are available upon request.