Forward Deployed AI Engineer (m/f/d)
Sportradar is seeking a Forward Deployed AI Engineer to act as an internal consultant within departments and business units. The role involves identifying real-world problems, simplifying complex workflows, and building and shipping LLM and agent-based solutions. The engineer will work largely independently with minimal day-to-day supervision, navigating organisational complexity to deliver results.
This position requires a pragmatic approach to problem-solving and the ability to communicate effectively with non-technical stakeholders. The engineer will be responsible for the full lifecycle of AI applications, from initial prototyping to production deployment, while ensuring solutions are evaluated and maintained effectively.
- Talk with colleagues in your department to understand workflows, pain points and data.
- Identify problems worth solving and break unclear or cluttered situations into clear, manageable steps.
- Streamline and simplify processes, and propose where an AI solution makes sense and where it does not.
- Work with several stakeholders and competing priorities, and keep your work moving pragmatically.
- Build, test and deploy LLM-powered applications and agents, from prototype to production.
- Implement retrieval (RAG), tool integrations, prompts and context handling.
- Build and run evaluations (test sets, automated checks, quality dashboards) and use the results to improve solutions.
- Build and maintain data pipelines that feed these systems.
- Plan your own work, give regular updates and document solutions.
- Around 2+ years of software engineering or applied ML experience, or equivalent project experience (required).
- Clear communication with non-technical colleagues; able to explain technical topics simply (required).
- Self-motivation and the ability to work independently with little supervision (required).
- Pragmatic approach to organisational complexity and competing priorities (required).
- Structured approach to finding problems and simplifying complexity (required).
- Solid Python and software engineering fundamentals (testing, version control, APIs) (required).
- Hands-on experience with LLM APIs and a project using RAG or agents, including some evaluation (required).
- Familiarity with SQL or data pipelines and with a cloud platform (AWS, Azure or GCP) (required).
- Consulting, internship or stakeholder-facing project experience (nice-to-have).
- A collaborative environment with colleagues from all over the world, including various social events and teambuilding.
- Ability to shape your own workday and career via a clearly defined professional and personal development plan.
- Opportunity to develop yourself within an inspiring and fast-growing company with Career framework possibilities.
- Vibrant and inclusive community, including Women in Tech and Pride groups.
- Global Employee Assistance Programme.
- Access to Calm and Reulay app (managing stress, maintaining focus, improving sleep, building resilience).
- Online training videos.
- Flexible working hours.
Sportradar is a global sports technology company that collects, analyses and distributes sports data to betting operators, sports leagues and media companies. Headquartered in St. Gallen, Switzerland, and founded in 2001, it provides betting services, managed trading, integrity monitoring and audiovisual streaming across hundreds of sports. The company holds official data partnerships with organisations including the NBA, NHL, FIFA and ICC. Sportradar is listed on the Nasdaq stock exchange and employs several thousand people worldwide.