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Forward Deployed Engineer Manager

Sia


Job Location:

Maastricht - Netherlands

Monthly Salary: Not provided by the employer
Posted: 31 October 2026 (8 hours ago)
Application Deadline: 28 January 2027
Vacancies: 1 Vacancy

Department:

Data Science

Job Summary

Most GenAI never leaves the demo. We hire for the people who get it into production and into daily use. The Forward Deployed Engineer closes that gap: a field engineer who builds GenAI applications (agents RAG pipelines copilots) and makes sure they get adopted embedded in daily workflows and deliver measurable value. You quickly grasp a clients operational challenges design a tailored response deploy it and bring teams along in the transformation. 

You will operate at the intersection of Data Science ML/Platform Engineering and client delivery helping customers find the right level of sophistication semantic search RAG agents or fine-tuning deliver measurable ROI in the most cost-effective way. Beyond crafting prompts you will design and build robust scalable products: benchmarking candidate Foundation Models across the model stack (from GPT-x Claude and Gemini to edge models like Mistral) rapidly iterating prototypes and validating ideas directly with users using frameworks such as LangChain LlamaIndex and pgvector. 

We work closely with leading technology partners including Anthropic (Claude) OpenAI Databricks and practice that means early access to new model releases direct engineering channels to the labs funded certifications and the freedom to pick the right tool not just the one youre locked into. 

What youll actually do 

  • Sit with a clients team work out where AI actually earns its keep (and where it doesnt) and turn that into something you can ship. 

  • Design and implement LLM-based systems: autonomous agents RAG pipelines workflow automation and conversational interfaces. 

  • Integrate these solutions into clients existing environments (APIs databases business tools) complying with applicable regulations (GDPR EU AI Act model licenses etc.). 

  • Get people to actually use what you built: training winning sceptics over and iterating until it sticks rather than sits. 

  • Iterate quickly with stakeholders to refine solutions in production and maximize their impact. 

  • Be the person in the room who can talk to the engineers and to the board and be believed by both. 


Qualifications :

Youll thrive here if 

  • Have a grounding in computer science AI or a related technical field. A degree is the usual route but we care that you can build. 

  • 5 years of professional experience. We hire for trajectory so strong graduates with serious LLM projects behind them are genuinely encouraged to apply  

  • Have hands-on experience building with LLMs whether in production in research or in substantial personal projects: advanced prompting RAG fine-tuning agent orchestration and systematic evaluation of model outputs (evaluation sets regression testing). 

  • Write Python youd be happy to hand to someone else and can pick up whatever language the clients stack demands. 

  • Are comfortable integrating APIs and connecting heterogeneous systems. 

  • Have a strong sense of client context: you identify whats genuinely useful prioritize and deliver value quickly. 

  • Can bring non-technical teams along in a transformation with teaching ability active listening and an ability to communicate ideas across a wide range of expertise. 

  • Want to quickly take on responsibility for high-value engagements within a dynamic fast-growing AI practice. 

  • Are fluent in English and Dutch; German is a strong advantage and we support you in learning it if you are not there yet. 

Bonus points for 

  • Experience with applied AI frameworks (LangChain LlamaIndex OpenAI SDK Anthropic SDK etc.). 

  • Experience deploying and operating solutions in a cloud environment (AWS Azure or GCP). 

  • Exposure to MLOps/LLMOps practices (CI/CD for models prompt versioning evaluation pipelines observability). 

  • Strong understanding of vector databases and related concepts (e.g. embeddings neural networks latent space).


Additional Information :

Why join Sia 

  • You ship. Engagements are measured in weeks not quarters and your work goes live in front of real users with the clients team not behind a glass wall. 

  • Range without job-hopping. You will touch several industries and several architectures a year which is the fastest way to build judgement about what actually works. 

  • A practice that is growing not maintaining. The AI practice is young enough that you shape how it delivers and senior enough that you are never the only person who has solved the problem before. 

  • Direct exposure. You sit with business decision-makers from day one the fastest route to seniority we know. 

What we offer 

  • A competitive salary with great advantages including hospital insurance performance -related bonus and more.

  • A dedicated learning budget funded partner certifications (Anthropic AWS Databricks) and paid conference time. 

  • Hybrid working from our Amsterdam office with real flexibility on where the deep work happens. 

  • A mentor from day one and a clear path from delivery to lead engineer or client-facing architect. 

We are unable to provide a work permit for this position.

Sia is an equal opportunity employer. All aspects of employment including hiring promotion remuneration or discipline are based solely on performance competence conduct or business needs. 

Sia is an equal opportunity employer. All aspects of employment including hiring promotion remuneration or discipline are based solely on performance competence conduct or business needs. 

Sia is an equal opportunity employer. All aspects of employment including hiring promotion remuneration or discipline are based solely on performance competence conduct or business needs. 


Remote Work :

No


Employment Type :

Full-time


About Company

Sia est un groupe international de conseil en management de nouvelle génération. Fondé en 1999, nous sommes nés à l’ère du numérique. Aujourd’hui, nos services en stratégie et management sont augmentés par la data science, enrichis par la créativité et guidés par la responsabilité. No ... View more

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