Staff Forward Deployed AI Engineer (m/f/d)
As a Staff Forward Deployed AI Engineer, the individual operates as an internal consultant, embedded within various departments and business units. The role involves engaging with business stakeholders to identify operational challenges, simplify complex processes, and develop tailored AI solutions. The engineer works independently to navigate organisational complexity and competing priorities while owning the technical strategy for specific use cases.
The position requires leading the end-to-end delivery of LLM and agentic systems, from initial discovery through to production. The engineer is responsible for defining technical architecture, implementing robust AI solutions, and mentoring colleagues to share reusable patterns and best practices across the organisation.
- Meet with department leads and teams to understand current workflows, identify problems, and frame them clearly.
- Break down complex situations into defined problems, scope, success criteria, and delivery plans.
- Streamline and simplify business processes while determining the appropriate application of AI.
- Navigate stakeholders, approvals, and competing priorities to maintain project momentum.
- Own the technical strategy and architecture for internal engagements.
- Design and deliver production agentic and LLM systems, including retrieval (RAG), tool use, context and prompt design, guardrails, and observability.
- Define and execute evaluations, such as test sets, regression suites, and monitoring, to guide design and model choices.
- Mentor colleagues, review designs, and share reusable patterns.
- Typically 8+ years of software engineering experience, including senior work with business stakeholders (required).
- Strong communication skills with both business and technical audiences, including senior stakeholders (required).
- Self-motivated and able to work independently with little supervision on ambiguous tasks (required).
- Ability to navigate organisational complexity and competing priorities (required).
- Strong problem-finding and analytical skills, with experience simplifying complex processes or systems (required).
- Experience building and operating production systems with strong system design capabilities (required).
- Hands-on experience with LLMs and agents, including prompting, tool use, RAG, and evaluation (required).
- Strong Python proficiency, with experience in data pipelines and a major cloud platform such as AWS, Azure, or GCP (required).
- Consulting or internal-consulting experience (nice-to-have).
- Collaborative international environment with various social events and teambuilding.
- Defined professional and personal development plan.
- Career framework opportunities within a fast-growing company.
- Access to vibrant and inclusive communities, including Women in Tech and Pride groups.
- Global Employee Assistance Programme.
- Access to Calm and Reulay apps for stress management and focus.
- 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.