Senior AI Engineer: GenAI, ML Ops & Scalable Pipelines

ADC Consulting

Amsterdam

On-site

EUR 90,000 - 130,000

Full time

4 days ago
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Job summary

ADC Consulting's Technology & Innovation team seeks a Senior Consultant who loves building and solving hands-on technical problems with data and AI at scale. You will design and deploy end-to-end AI pipelines on leading Cloud platforms, and write production-ready Python code.

You will collaborate with decision-makers to align AI solutions with strategic goals, applying GenAI, RAG-based systems, embeddings, and tool calling.

Qualifications

  • 5+ years of AI-related experience, preferably in consulting or project-based work.
  • Master’s degree in a quantitative field (AI, econometrics, math, CS, engineering, etc.).
  • Strong understanding of GenAI landscape and when to apply it.
  • Excellent communication to non-technical stakeholders such as business managers; product owners.
  • Proactive, entrepreneurial mindset with sense of ownership.
  • Fluent in English; Dutch knowledge is a plus.

Responsibilities

  • Implement state-of-the-art data & AI applications at scale.
  • Develop and deploy data science solutions using Python, Docker, and leading Cloud platforms (AWS, Azure, Google Cloud).
  • Develop and implement custom AI systems for clients (agentic workflows, RAG-based systems, domain-specific AI assistants).
  • Design end-to-end AI pipelines for scalability, efficiency, and long-term impact.
  • Build robust monitoring frameworks to maintain model performance and manage drift/retraining needs.
  • Bridge business strategy and technical execution, aligning AI with client goals.
  • Stay current with ML Ops, GenAI, and Cloud technologies.

Skills

Python
Docker
Cloud platforms
GenAI
English fluency

Education

Master’s degree

Tools

Git
ML Ops

Job description

ADC Consulting's Technology & Innovation team seeks a Senior Consultant who loves building and solving hands-on technical problems with data and AI at scale. You will design and deploy end-to-end AI pipelines on leading Cloud platforms, and write production-ready Python code.

You will collaborate with decision-makers to align AI solutions with strategic goals, applying GenAI, RAG-based systems, embeddings, and tool calling.

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