Forward Deployed Engineer Manager

Sia; Amsterdam; Hybrid; EUR 110.000 - 160.000; Vollzeit

Benefits dieser Stelle

Hospital insurance

Learning budget

Partner certifications

Hybrid Amsterdam office

Mentor from day one

Zusammenfassung

Sia is a forward-thinking global management consultancy hiring a Forward Deployed Engineer to build GenAI applications and drive adoption at client sites. You will blend data science, ML/platform engineering, and delivery to produce measurable ROI across complex environments.

Work at the intersection of AI capabilities and business value, crafting agents, RAG pipelines, and scalable solutions with leading model stacks and frameworks. Amsterdam hybrid role with strong growth opportunities.

Qualifikationen

• BS in CS/AI or related technical field required.
• 5+ years of professional experience.
• Hands-on experience with LLMs in production, research, or substantial personal projects.
• Proficiency in Python and ability to hand off code to others.
• Experience integrating APIs and heterogeneous systems.
• Strong client-facing communication and delivery focus.
• Ability to lead non-technical teams and communicate across stakeholders.
• Fluent in English and Dutch; German is a plus.

Aufgaben

• Sit with a client's team, identify where AI adds value, and ship a solution.
• Design and implement LLM-based systems: autonomous agents, RAG pipelines, workflow automation, and conversational interfaces.
• Integrate solutions into clients' environments (APIs, databases, tools), complying with GDPR, EU AI Act, licenses, etc.
• Provide training and drive adoption to ensure the solution is used.
• Iterate quickly with stakeholders to maximize impact in production.
• Be the bridge between engineers and the board, earning trust on both sides.

Kenntnisse

Computer science/AI background

5+ years experience

LLMs hands-on experience

Python programming

API integration

Client-facing communication

Cross-functional collaboration

Dutch and English fluency

Ausbildung

Bachelor's degree in computer science, AI, or related field

Tools

LangChain

LlamaIndex

OpenAI SDK

Anthropic SDK

AWS

Databricks

Azure

GCP

Jobbeschreibung

Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We're optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.

Job Description

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 client's 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 AWS. In 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 you're locked into.

What you'll actually do

• Sit with a client's team, work out where AI actually earns its keep (and where it doesn't), 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

You’ll 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 you'd be happy to hand to someone else and can pick up whatever language the client's stack demands.
• Are comfortable integrating APIs and connecting heterogeneous systems.
• Have a strong sense of client context: you identify what's 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 client's 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, like hospital insurance, performance-related bonus,...
• 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.