AI Engineer

• Do you enjoy turning complex data into reliable solutions while also translating business needs into impactful AI use cases?
• Do you want to shape SoftwareOne with AI and help bring people along the GenAI journey?
• Are you motivated by working in a collaborative AI team driven by curiosity, transparency and a shared goal of delivering impactful, data-driven solutions?

Practical Information:

Location: Poland | Reports to: AI Data Science Lead | Work Arrangement: Remote | Visa Requirements: Valid working visa for Poland | Language Requirements: Professional/fluent level of English, written and spoken

At SoftwareOne we are at the forefront of technological innovation, dedicated to leveraging the power of artificial intelligence to create revolutionary products and solutions. Our AI Team is a dynamic group of talented professionals who are passionate about pushing the boundaries of what is possible with AI and machine learning for our internal employees.

As an AI Engineer in our team, you will play a key hybrid role combining data engineering expertise with business understanding. You will design and maintain robust data pipelines while working closely with stakeholders to identify opportunities, gather requirements, and translate business needs into impactful AI use cases. Your work will directly influence the success of our AI initiatives – from data foundation to real business impact.

Key Responsibilities:

• Design, build and maintain scalable data pipelines and architectures on Databricks and Azure to support AI and ML use cases
• Develop AI solutions hands-on, from data preparation and feature engineering to pipelines powering AI and LLM-based applications
• Collaborate closely with Data Scientists, AI Engineers and the Data & Analytics Team to ensure high-quality, reliable data and optimal performance
• Work with business stakeholders to gather requirements and translate them into actionable AI use cases and solutions
• Identify opportunities where AI can create business value and contribute to the development of innovative AI initiatives
• Contribute to delivering AI projects end-to-end, from concept and exploration to production-ready solutions, ensuring governance and data quality standards