Senior AI Engineer
Il y a 4 semaines
Brussels Brussels Region, BRU, Belgique
g2 Recruitment
Temps plein
Gratuit avec email ou Google
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Gratuit avec email ou Google
Senior AI Engineer & Technical Lead (Generative AI)
Location
- Brussels Contract
- 12 month freelance (Extension likely) Day Rate
- Competitive Be a part of the design, architecture, and delivery of enterprise-scale Generative AI solutions, leveraging Azure OpenAI, Azure AI Search, and Databricks. Responsible for building secure and scalable Retrieval-Augmented Generation (RAG) platforms, partnering with Business Stakeholders to ensure alignment with security, governance, and cloud best practices throughout the organisation. Design and implement automated data pipelines to ingest and index large-scale datasets into Azure AI Search, enabling high-performance AI-powered retrieval. Work closely with business stakeholders to translate requirements into AI-driven solutions that deliver measurable business value. Establish monitoring, evaluation, and MLOps frameworks using MLflow to assess LLM performance, retrieval accuracy, and operational effectiveness. Required Technologies &
Skills:
- Azure OpenAI Service
- Azure AI Search
- Prompt Flow
- Databricks
- Python
- Retrieval-Augmented Generation (RAG)
- Vector Databases & Embeddings
- Hybrid Search & Semantic Search
- Stakeholder Management & Technical Leadership Preferred
Experience:
- Financial Services or other regulated environments
- LLM evaluation and monitoring
- AI Governance and Security
- Scalable cloud-native application design on Azure
- Brussels Contract
- 12 month freelance (Extension likely) Day Rate
- Competitive Be a part of the design, architecture, and delivery of enterprise-scale Generative AI solutions, leveraging Azure OpenAI, Azure AI Search, and Databricks. Responsible for building secure and scalable Retrieval-Augmented Generation (RAG) platforms, partnering with Business Stakeholders to ensure alignment with security, governance, and cloud best practices throughout the organisation. Design and implement automated data pipelines to ingest and index large-scale datasets into Azure AI Search, enabling high-performance AI-powered retrieval. Work closely with business stakeholders to translate requirements into AI-driven solutions that deliver measurable business value. Establish monitoring, evaluation, and MLOps frameworks using MLflow to assess LLM performance, retrieval accuracy, and operational effectiveness. Required Technologies &
Skills:
- Azure OpenAI Service
- Azure AI Search
- Prompt Flow
- Databricks
- Python
- Retrieval-Augmented Generation (RAG)
- Vector Databases & Embeddings
- Hybrid Search & Semantic Search
- Stakeholder Management & Technical Leadership Preferred
Experience:
- Financial Services or other regulated environments
- LLM evaluation and monitoring
- AI Governance and Security
- Scalable cloud-native application design on Azure