GenAI Forward Deployed Engineer: Turn AI into Real Impact

Sia; Maastricht; Hybrid; EUR 80,000 - 120,000; Full time

Benefits offered by this job

Learning budget

Partner certifications (Anthropic, AWS

Conference time

Job summary

Sia is a forward-looking global management consulting group seeking a Forward Deployed Engineer to translate GenAI concepts into production-ready solutions. You will build autonomous agents, RAG pipelines, and multilingual interfaces, while guiding adoption in client environments with a focus on ROI and cost efficiency.

You will work at the intersection of Data Science, ML/Platform Engineering, and client delivery, selecting tools and architectures to meet client needs.

Qualifications

• Hands-on experience with LLMs in production, research, or personal projects.
• Proficient in Python and API integration.
• Ability to communicate with engineers and executives.
• Fluency in Dutch and English.

Responsibilities

• Sit with a client's team, analyze where AI adds value, and ship solutions.
• Design and implement LLm-based systems: autonomous agents, RAG pipelines, workflows.
• Integrate solutions into client environments (APIs, databases, tools) with compliance.
• Drive user adoption: training, winning sceptics, and iterating till it sticks.
• Collaborate with stakeholders to deploy production-grade solutions quickly.
• Speak credibly to engineers and the board, aligning technology with business goals.

Skills

LLM projects

Python

API integration

Client communication

Education

CS or related field

Tools

LangChain

LlamaIndex

OpenAI SDK

Anthropic SDK

Job description

Sia is a forward-looking global management consulting group seeking a Forward Deployed Engineer to translate GenAI concepts into production-ready solutions. You will build autonomous agents, RAG pipelines, and multilingual interfaces, while guiding adoption in client environments with a focus on ROI and cost efficiency.

You will work at the intersection of Data Science, ML/Platform Engineering, and client delivery, selecting tools and architectures to meet client needs.