Staff Forward Deployed AI Engineer

This role works like an internal consultant, placed in other departments and business units to talk with the business, find real problems, cut through complexity, simplify processes and build AI solutions. The role works independently with little supervision, navigates organisational complexity and competing priorities, owns the technical strategy for use cases, and leads delivery of LLM and agentic systems from discovery to production. The engineer mentors colleagues, reviews designs and shares reusable patterns while operating across internal engagements.

• Meet with department leads and teams to understand how work is done today, identify problems and frame them clearly.
• Break down unclear, cluttered situations into defined problems, scope, success criteria and a delivery plan.
• Streamline and simplify business processes, and decide where AI helps and where it does not.
• Navigate stakeholders, approvals and competing priorities pragmatically to keep work moving.
• Own 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 run evaluations (test sets, regression suites, monitoring) that 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.
• Strong communication with business and technical audiences, including senior stakeholders.
• Self-motivated and able to work independently with little supervision on ambiguous work.
• Ability to navigate organisational complexity and competing priorities to get things done.
• Strong problem-finding and analytical skills; experience simplifying complex processes or systems.
• Experience building and operating production systems; strong system design.
• Hands-on experience with LLMs and agents (prompting, tool use, RAG, evaluation).
• Strong Python; experience with data pipelines and a major cloud platform (AWS, Azure or GCP).

• Consulting or internal-consulting experience.

• Some travel between Sportradar offices may be required; the extent will be confirmed by the hiring team.
• The company operates an office-first, fully on-site model, with team members working in the office five days a week; certain exemptions may apply depending on location.

• A collaborative environment with colleagues from all over the world, including engineering offices in Europe, Asia and the US, social events and teambuilding.
• Ability to shape your own workday and career via a clearly defined professional and personal development plan.
• Opportunity to develop within an inspiring and fast-growing company with career framework possibilities.
• Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants.
• Global Employee Assistance Programme.
• Calm and Reulay app for managing stress, maintaining focus, improving sleep and building resilience.
• Online training videos.
• Flexible working hours.

Sportradar is a sports data and technology company and describes itself as the world's leading sports technology company, at the intersection between sports, media, and betting.