Job
In dieser Rolle identifizierst du Probleme in verschiedenen Abteilungen, entwickelst maßgeschneiderte KI-Lösungen und führst LLM-Systeme vom Entwurf bis zur Produktion effizient ein.
Job-Technologien
Deine Rolle im Team
- As Staff Forward Deployed AI Engineer, you work like an internal consultant: you are placed in other departments and business units, talk with the business, find the real problems, cut through complexity, simplify processes and then build the AI solution.
- You work independently with little supervision, navigate organisational complexity and competing priorities to get things done, own the technical strategy for your use cases, and lead delivery of LLM and agentic systems from discovery to production.
- 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 your 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.
Unsere Erwartungen an dich
Qualifikationen
- 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.
Erfahrung
- Typically 8+ years of software engineering experience, including senior work with business stakeholders.
- 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 is nice to have.
Unser Angebot
- Based in Vienna.
- Some travel between Sportradar offices may be required; the extent will be confirmed by the hiring team.
- A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and the US) 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 our 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 (managing stress, maintaining focus, improving sleep, building resilience).
- Online training videos.
- Flexible working hours.
Benefits
Gesundheit, Fitness & Fun
Mehr Netto
Essen & Trinken
Themen, mit denen du dich im Job beschäftigst
Job-Standorte
Das ist dein Arbeitgeber
Leonding, Wien, Gera, Bremen
Die Sportradar-Gruppe ist eine internationale Organisation, die mehr als 1.900 Mitarbeiter an mehr als 30 Standorten weltweit beschäftigt (u.a. in Ljubljana, Minneapolis, München, Oslo, Trondheim und Warschau). Wir nehmen eine führende Position im Bereich der Schnittstelle zwischen Sport-, Medien- und Wettbranche ein und betreiben auch LAOLA1.at und LAOLA1.tv – Österreichs größte Sportnetzwerke. Trotz vollem Einsatz kommt bei uns der Spaß nicht zu kurz - wir legen großen Wert auf Teamgeist!
- 250+ Mitarbeitende
- 2001
- Deutsch, Englisch
- Etablierte Firma
- Onsite, Hybrid, Full Remote
- Werbung, Marketing, PR · Sport, Freizeit · Medien, Verlagswesen · Internet, IT, Telekom
Arbeitgeber-Reviews
- Engineering
- 3,6
- Karriere
- 3,9
- Arbeitsbedingungen
- 4,3
- Teamkultur
- 4,3
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