Job
In this role, you identify issues across departments, develop tailored AI solutions, and effectively implement LLM systems from design to production delivery.
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Job technologies
Your role in the team
- As a Staff Forward Deployed AI Engineer, you work like an internal consultant: you’re embedded in other departments and business units, talk to the business, identify 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 clearly define them.
- 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.
Our expectations of you
Qualifications
- 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.
Experience
- Typically 8+ years of software engineering experience, including senior-level 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 a plus.
What we offer
- 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 team-building activities.
- Ability to shape your own workday and career via a clearly defined professional and personal development plan.
- Opportunity to grow professionally within an inspiring, fast-growing company through our career framework.
- 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
Higher take-home pay
Food & drink
Topics you will work on
Job locations
About your employer
Leonding, Wien, Gera, Bremen
At Sportradar, we have more than 1,900 employees working at more than 30 locations worldwide (including Ljubljana, Minneapolis, Munich, Oslo, Trondheim and Warsaw). We occupy a unique position at the intersection of sport, media and gaming industries. In addition to our core business operations we also operate LAOLA1.at and LAOLA1.tv – Austria's largest sports networks. Despite our full dedication to work , fun and teamwork are never far from us.
- 250+ Employees
- 2001
- German, English
- Established Company
- Onsite, Hybrid, Full Remote
- Advertising, Marketing, PR · Sports, Leisure · Media, Publishing · Internet, IT, Telecommunication
Employer reviews
- Engineering
- 3.6
- Career growth
- 3.9
- Working conditions
- 4.3
- Team culture
- 4.3
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