Forward Deployed Engineer Manager

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 set the direction for turning that into something that ships.
• Lead the design and delivery of LLM-based systems: autonomous agents RAG pipelines workflow automation and conversational interfaces and make the architecture calls that go with them.
• Own the integration of these solutions into clients environments (APIs databases business tools) making sure they comply with applicable regulations (GDPR EU AI Act model licenses etc.) and that risks are managed.
• Drive adoption across client organizations: shape the training approach win over sceptics at every level and iterate until solutions are embedded in daily work.
• Partner with executive stakeholders to refine solutions in production track their business impact and decide where to invest next.
• Be the person in the room who can talk to the engineers and to the board and be believed by both.
• Coach and develop the team around you and set the quality bar for how the practice builds and delivers AI.

Qualifications :

Youll thrive here if:

• You have a strong grounding in computer science AI or a related technical field and you have a track record of building systems that reached production.
• You have 5 years of professional experience including experience leading teams or engagements. We hire for leadership and judgment as much as technical depth.
• You have deep hands-on experience with LLMs in production in research or in substantial projects: advanced prompting RAG fine-tuning agent orchestration and systematic evaluation of model outputs (evaluation sets regression testing and quality frameworks).
• You write Python youd be proud to put in front of any engineering team and you can quickly pick up whatever language a clients stack demands.
• Youre experienced at integrating APIs and connecting heterogeneous systems and you can make sound architecture decisions for them.
• You have a strong sense of client context. You know how to decide whats worth building set priorities and deliver measurable value at pace.
• You can lead non-technical teams through transformation with the teaching ability active listening and communication skills to bridge very different areas of expertise.
• You want to take ownership of high-value engagements and help shape the direction of a dynamic fast-growing AI practice including developing the people in it.
• Youre fluent in English French and Dutch. German is a strong advantage and we support you in learning it if you are not there yet.

Bonus points for:

• Experience leading teams building with applied AI frameworks (LangChain LlamaIndex OpenAI SDK Anthropic SDK etc.).
• Experience overseeing the deployment and operation of solutions in a cloud environment (AWS Azure or GCP).
• Experience setting standards for MLOps/LLMOps practices (CI/CD for models prompt versioning evaluation pipelines observability).
• Deep understanding of vector databases and related concepts (e.g. embeddings neural networks latent space).

Additional Information :

Why join Sia

• You ship at scale. Youll own engagements measured in weeks to quarters with your solutions going live in front of real users and across the clients organization and youll set how your teams make that happen.
• Range with depth. Youll work across several industries and architectures a year building the judgement to know what works and to pass it on to others.
• A practice you help shape. The AI practice is growing fast and youll have a real say in how it delivers how it hires and how it builds its methods.
• Direct access to decision-makers. Youll sit with business leaders and boards from the start and youll be the one who represents the practice in those rooms.

What we offer

• A competitive salary and strong benefits including a mobility budget or company car hospital insurance and a performance-related bonus.
• A dedicated learning budget funded partner certifications (Anthropic AWS Databricks) and paid conference time plus the chance to shape learning for your team.
• Hybrid working from our Brussels or Antwerp office with real flexibility over where the deep work happens.
• A clear path into practice leadership with the chance to lead teams mentor others and grow into senior client-facing roles.

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. 

Remote Work :

No

Employment Type :

Full-time