1860 English-speaking jobs in Lower Silesian Voivodeship

Senior Backend Engineer will architect and own the core platform powering a predictive intelligence system. Responsibilities include authentication, metering, AI pipeline orchestration, and billing. Requires 4+ years of backend engineering experience (Python or Node.js), production RESTful API experience, and GCP services experience.

AI Engineer will develop scalable AI systems, including LLMs and GenAI, under the guidance of senior engineers. Responsibilities include transforming Data Science prototypes into production-ready solutions, building backend components for AI systems using Python and frameworks like FastAPI, and ensuring code quality.

Lead Data Engineer will design and develop scalable data management architectures and platform solutions using Big Data technologies. Responsibilities include designing data management processes, collaborating with the Data Science team, and translating business requirements into technical solutions.

Senior AI Engineer with 5+ years of Python experience needed to develop scalable AI systems, including LLMs and GenAI. Responsibilities include transforming prototypes into production-ready solutions, building backend components, and ensuring code quality. Experience with LLMs, backend frameworks (e.g., FastAPI), and cloud environments (AWS, GCP, Azure) is required.

Contribute to shaping and delivering SAP data & analytics solutions, focusing on SAP Business Data Cloud (BDC) and SAP-native data products. Design, implement, and support SAP data warehousing solutions, including data products, semantic models, and analytics consumption using BDC and SAP Analytics Cloud (SAC). Translate business requirements into SAP data solutions and collaborate with cloud and data platform teams to deliver hybrid architectures.

Configure and implement OpenText Vendor Invoice Management (VIM) for SAP Solutions. Troubleshoot VIM implementation across all project phases. Collaborate with global teams on large-scale transformation programs.

Design and develop GenAI-powered solutions for business processes and decision-making. Collaborate with stakeholders to identify use cases and translate them into scalable solutions. Build and integrate applications leveraging LLMs with cloud AI services. Work with structured and unstructured data, preparing and optimizing pipelines for GenAI use cases. Contribute to both solution design and implementation, ensuring solutions are scalable, secure, and maintainable.

Design, implement, and deploy SAP solutions to achieve business goals. Drive industry innovation by delivering SAP S/4HANA solutions. Minimum 5 years of experience in relevant related skills. Advanced proficiency in SAP Analytics Cloud and SAP Analytics Cloud Planning.

Lead and manage project teams on client engagements, acting as a trusted advisor to senior executives on data and AI strategies. Define advanced analytics and AI strategies, including GenAI and Agentic AI, aligned with enterprise ambitions. Design and operationalize Responsible AI frameworks, covering ethics, transparency, and AI risk management.

As a Data Modeler/Designer, you will design and implement scalable, efficient, and secure data solutions. You will collaborate with stakeholders to build data architecture strategies and work with data engineers, data scientists, and IT teams to define robust data models. You will evaluate and recommend technologies for data storage, processing, and analysis.

Design and implement scalable cloud-based data warehousing and analytics solutions using Azure Data Lake, Azure Databricks, Microsoft Fabric, and related services. Define best practices for data governance, security, performance optimization, and cost efficiency in Azure and Databricks environments. Collaborate with cross-functional teams to deliver end-to-end data platform solutions. Integrate Databricks with the broader Azure ecosystem. Advise clients on modernization strategies, including migration from legacy databases to Azure and Databricks-based architectures. Support pre-sales and solutioning activities. Stay up to date with innovations in Azure, Databricks, and Fabric.

Senior GenAI Engineer will design and deliver production-grade GenAI and agentic AI systems. Responsibilities include architecting autonomous multi-agent systems, designing data backbones, building secure integrations, and owning the full production lifecycle. Requires 6+ years of software or data engineering experience, 2+ years with LLMs and Generative AI, strong Python and SQL skills, and experience building agentic AI solutions.

Apply cloud and data engineering skills to solve problems and design approaches for clients. Propose, build, and implement big data engineering solutions. Design and develop scalable data pipelines to ingest, process, and transform large datasets.

Drive and develop technology vision, innovation, expertise and thought leadership in classical and AI-enabled enterprise architecture. Conduct end-to-end architecture assessments, define solutions, optimize application portfolio, and bring AI and agentic AI to client's architecture and technology strategy. Manage technology transition paths, considering a good understanding of functional AS-IS, and translate it into a mature TO-BE landscape, managing the entire transition process. Provide architecture conscience, defining the right solution to meet the performance, scalability, flexibility, operations and capability needs. Assist our clients in creating and implementing sharp visions, strategies and roadmaps in the business and technology architecture domains that address the challenges and opportunities of new business models leveraging technology and possibly AI.

Lead and coordinate SAP FI/CO projects, including analysis, design, configuration, testing, and implementation. Collaborate with key users to optimize financial and controlling processes.

Drive and develop technology vision, innovation, expertise and thought leadership in classical and AI-enabled enterprise architecture. Conduct end-to-end architecture assessments, define solutions, optimize application portfolio, and bring AI and agentic AI to the client's architecture and technology strategy. Manage technology transition paths, considering a good understanding of functional AS-IS, and translate it into a mature TO-BE landscape, managing the entire transition process. Assist our clients in creating and implementing sharp visions, strategies and roadmaps in the business and technology architecture domains.

Lead the end-to-end implementation of SAP S/4HANA Controlling initiatives for a manufacturing company. Plan, execute, and monitor projects, ensuring alignment with business requirements. Act as a subject matter expert in SAP S/4HANA Controlling, including Product Cost Controlling and Material Ledger.

Design, implement, and deploy SAP solutions to achieve business goals. Lead full-cycle, international projects and drive industry innovation by delivering SAP S/4HANA solutions.

Design, build, and deliver production-ready GenAI and agentic AI solutions for enterprise clients using Python, LLM APIs, and open-source models. Develop RAG pipelines, agentic workflows, and integrations connecting AI agents to corporate databases, APIs, and enterprise systems. Evaluate and optimize AI outputs, improving accuracy and performance. Collaborate with senior engineers on high-impact client projects.

SAP Security Analyst Consultant to support solution design and delivery for IAM, Authorization, or SOC in SAP landscapes. Experience in SAP GRC Access Control, SAP Authorization Management, or SAP Cybersecurity required.