AI Engineer

SoftwareOne is a global provider of software and cloud solutions. With a presence in over 70 countries and more than 12,000 professionals, we help organizations optimize software investments, modernize applications, and unlock the value of cloud, data, and AI. Our people are at the core of everything we do. We enable collaboration across borders, continuous learning, and opportunities to grow in a fast-evolving technology landscape. Whether your focus is on technology, customer success, or business operations, your ideas matter, and your contributions make a difference. Join a global team where you can build your skills, work with leading technologies, and make a real impact for our customers.

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.

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

What we need to see from you:

• Experience in Data Engineering or a similar role, with a strong background in building data pipelines
• Experience working with stakeholders on requirements gathering, business analysis, or translating business needs into technical solutions
• Proficiency in programming languages such as Python (preferred), Java, or Scala, and experience with big data technologies (e.g., Spark, Kafka, Hadoop)
• Hands-on experience with Databricks and Azure AI Services, and familiarity with cloud platforms such as Azure (preferred), AWS, or Google Cloud
• Solid understanding of database systems, including SQL and NoSQL, and data architecture best practices
• Strong analytical mindset, excellent communication skills, and a proactive, curious approach to AI, innovation, and continuous learning

Benefits:

• Global company culture: We defined our 6 core values through our company culture
• A mentor who supports your successful start and is at your side with advice and action
• President's Club: Recognition awarded by leadership and your peers
• Flexible work: Do great work from anywhere but also visit local office to deliver excellence in team relationships
• Lifelong education: A variety of training and development opportunities
• Hire to Grow: We optimize our internal structures and feedback culture constantly to be your Employer of Choice, today and in future

At SoftwareOne, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Additionally, we encourage experienced individuals that have taken an intentional career break and are now prepared to return to work to explore our SOAR program.