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Senior Data Scientist - GenAI

Reads like a Data Leadership role: running a data team.

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting
  • Manage design, development and deployment of LLM solutions such as RAG and agentic AI

  • Design quality metrics and benchmarks to keep AI solutions reliable in production

  • Guide junior engineers and data scientists on LLM development and deployment

  • Oversee model serving, APIs, vector databases and cloud infrastructure for AI systems

  • Translate client business needs into AI solutions and give technical leadership

From the employer’s posting
Manage the design, development, and deployment of advanced LLM-powered solutions, including RAG systems, agentic AI architectures, and multi-modal applications for our clients.
Design and implement comprehensive quality metrics and benchmarks to ensure production-ready, reliable AI solutions
Guide junior engineers and data scientists in implementing cutting-edge AI technologies
Oversee the deployment and maintenance of AI systems, including model serving, API development, vector databases, orchestration frameworks (LangChain, LlamaIndex), and cloud infrastructure.
Collaborate with client teams to translate their business needs into impactful AI solutions, providing technical leadership and strategic guidance

What you’ll bring

All qualifications

Core experience

  • Deep expertise in modern LLM techniques including fine-tuning, RAG systems, agentic AI, evaluation frameworks, and production deployment.
  • Leadership and project management skills, with a proven track record of managing teams and delivering complex AI projects.
  • Proficiency in English, Dutch, or French is required; additional languages are a plus.
Qualification wording
Deep expertise in modern LLM techniques including fine-tuning, RAG systems, agentic AI, evaluation frameworks, and production deployment.
Leadership and project management skills, with a proven track record of managing teams and delivering complex AI projects.
Excellent analytical, problem-solving, and communication skills. Proficiency in English, Dutch, or French is required; additional languages are a plus.
Education & alternatives
What You Bring - A degree in computer science, engineering, mathematics, or a related field; advanced degrees (MSc or PhD) are a plus. - At least 4 years of professional experience in AI, with a strong focus on Data, Machine Learning, LLMs, or generative AI.

About LinkedIn Job Wrapping

Artefact is a leading Data & AI consulting firm at the forefront of AI innovation.

In the employer’s words · Read in context

Apply at LinkedIn Job Wrapping

Posting record

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Open 3 monthsWe first saw this posting 97 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jul 31, 202697 days ago
Recorded sightings
73
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 97

Up longer than most. Similar jobs usually come down between day 7 and day 54.

At LinkedIn Job Wrapping, jobs usually come down by about day 62.

From 7,977 similar postings that came down, and 19 of LinkedIn Job Wrapping’s. Coming down is not always a hire.

LinkedIn Job Wrapping is hiring

24 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Its jobs tend to stay up a long time
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • Hugging Face
Where the posting names them
- Deep expertise in modern LLM techniques including fine-tuning, RAG systems, agentic AI, evaluation frameworks, and production deployment. - Strong programming skills in Python and extensive experience with NLP/AI frameworks (e.g., Hugging Face, OpenAI, Anthropic, LangGraph, Agno, ….). - Leadership and project management skills, with a proven track record of managing teams and delivering complex AI projects.

Your next step

Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.

Applying through Greenhouse

  • No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
  • Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.

Already applied? Track this application

Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.

Weekly new Data Leadership postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 789, the most 1,208, and the latest week had 846.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

Join Artefact Belgium: Lead the Future of Generative AI and Large Language Models

Are you a seasoned AI professional with a passion for generative AI and Large Language Models (LLMs)? Artefact Belgium is looking for a Senior Data Scientist - Gen AI to drive innovation and lead cutting-edge projects. If you have at least four years of experience in AI and consulting, combined with a talent for project and team management, we invite you to shape the future of LLM-driven solutions with us in Brussels.

Who You Are

  • Experienced professional: At least 4 years of experience in AI, with a strong background in consulting and delivering impactful projects for diverse clients.
  • Leader and collaborator: Proven experience managing teams, guiding junior colleagues, and fostering collaboration in multidisciplinary environments.
  • Innovative thinker: Able to identify emerging trends in generative AI and apply them to real-world challenges.
  • Results-oriented: Comfortable handling end-to-end project delivery, from ideation and development to deployment and client engagement.
  • Eager to grow: Passionate about advancing your expertise in LLMs and generative AI while mentoring others.

Who We Are

Artefact is a leading Data & AI consulting firm at the forefront of AI innovation. With a global presence, we collaborate with top-tier clients across industries, including healthcare, manufacturing, and media, to harness the transformative power of generative AI. Our team in Belgium is specialized in LLM and GenAI projects, working on the most advanced applications of these technologies. Our inclusive and forward-thinking culture encourages creativity, collaboration, and professional growth.

What You Will Do

  • Lead and deliver LLM projects: Manage the design, development, and deployment of advanced LLM-powered solutions, including RAG systems, agentic AI architectures, and multi-modal applications for our clients.
  • Drive technical excellence: Architect and deploy advanced AI systems leveraging cutting-edge techniques such as parameter-efficient fine-tuning (LoRA/QLoRA), prompt orchestration, retrieval-augmented generation (RAG), function/tool calling, multi-agent workflows, and emerging interoperability standards like the Model Context Protocol (MCP).
  • Establish evaluation frameworks: Design and implement comprehensive quality metrics and benchmarks to ensure production-ready, reliable AI solutions that meet client requirements.
  • Mentor and manage teams: Guide junior engineers and data scientists in implementing cutting-edge AI technologies, fostering best practices in LLM development and deployment.
  • Innovate and strategize: Drive experimentation with state-of-the-art LLMs to identify new use cases, optimize performance through techniques like quantization and inference optimization, and develop generative AI tools and products.
  • Build scalable infrastructure: Oversee the deployment and maintenance of AI systems, including model serving, API development, vector databases, orchestration frameworks (LangChain, LlamaIndex), and cloud infrastructure.
  • Engage with clients: Collaborate with client teams to translate their business needs into impactful AI solutions, providing technical leadership and strategic guidance throughout project lifecycles.
  • Shape our expertise: Contribute to the company's thought leadership by publishing insights, presenting at conferences, or driving internal training on emerging LLM technologies and best practices.

What You Bring

  • A degree in computer science, engineering, mathematics, or a related field; advanced degrees (MSc or PhD) are a plus.
  • At least 4 years of professional experience in AI, with a strong focus on Data, Machine Learning, LLMs, or generative AI.
  • Consulting experience, including managing client relationships and delivering tailored solutions.
  • Deep expertise in modern LLM techniques including fine-tuning, RAG systems, agentic AI, evaluation frameworks, and production deployment.
  • Strong programming skills in Python and extensive experience with NLP/AI frameworks (e.g., Hugging Face, OpenAI, Anthropic, LangGraph, Agno, ….).
  • Leadership and project management skills, with a proven track record of managing teams and delivering complex AI projects.
  • Excellent analytical, problem-solving, and communication skills. Proficiency in English, Dutch, or French is required; additional languages are a plus.

What We Offer

  • Competitive compensation aligned with your expertise and experience.
  • High-impact opportunities to work with state-of-the-art LLM technologies and solve real-world challenges.
  • A leadership role in a dynamic, collaborative, and innovative work environment.
  • Professional growth through dedicated resources for training, conferences, and thought leadership.
  • A chance to shape the direction of a fast-growing AI team within a global consulting firm.
  • A collaborative, inclusive workplace with access to global expertise through Artefact's network.

This position is based in Brussels, with opportunities to collaborate on projects worldwide.

At Artefact Belgium, we value expertise, leadership, and a drive to innovate. If you're ready to lead and make a tangible impact in the world of generative AI, we'd love to hear from you

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Brussels-Capital, Belgium

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