Senior Forward Deployed Engineer

pSia 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. /ph3Job Description /h3pMost 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. /ppYou 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. /ppWe 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. /ppbWhat you’ll actually do /b /ppSit 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. /ppDesign and implement LLM-based systems: autonomous agents, RAG pipelines, workflow automation, and conversational interfaces. /ppIntegrate these solutions into clients' existing environments (APIs, databases, business tools), complying with applicable regulations (GDPR, EU AI Act, model licenses, etc.). /ppGet people to actually use what you built: training, winning sceptics over, and iterating until it sticks rather than sits. /ppIterate quickly with stakeholders to refine solutions in production and maximize their impact. /ppBe the person in the room who can talk to the engineers and to the board, and be believed by both. /ph3Qualifications /h3pbYou'll thrive here if /b /ppHave a grounding in computer science, AI, or a related technical field. A degree is the usual route, but we care that you can build. /pp2+ years of professional experience. We hire for trajectory, so strong graduates with serious LLM projects behind them are genuinely encouraged to apply /ppHave 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). /ppWrite Python you'd be happy to hand to someone else and can pick up whatever language the client's stack demands. /ppAre comfortable integrating APIs and connecting heterogeneous systems. /ppHave a strong sense of client context: you identify what's genuinely useful, prioritize, and deliver value quickly. /ppCan 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. /ppWant to quickly take on responsibility for high-value engagements, within a dynamic, fast-growing AI practice. /ppAre fluent in English, French and Dutch; German is a strong advantage, and we support you in learning it if you are not there yet. /ppExperience with applied AI frameworks (LangChain, LlamaIndex, OpenAI SDK, Anthropic SDK, etc.). /ppExperience deploying and operating solutions in a cloud environment (AWS, Azure, or GCP). /ppExposure to MLOps/LLMOps practices (CI/CD for models, prompt versioning, evaluation pipelines, observability). /ppStrong understanding of vector databases and related concepts (e.g., embeddings, neural networks, latent space). /ph3Additional Information /h3pYou 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. /ppRange 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. /ppA practice that is growing, not maintaini