AI Solution Architect at virtual7jobs

Setup: Remote, Hybrid
Location: London, England
Type: Full-time

Description

The AI Solution Architect (m/w/d) designs and develops Azure-based AI/ML architecture for enterprise environments, focusing on production-ready, scalable, and compliant AI solutions. Responsibilities include leading ML pipeline projects, defining MLOps strategies, coordinating multidisciplinary teams, and advising on AI governance and EU AI Act compliance.

Required Skills

Azure
Azure Machine Learning
Azure OpenAI Service
MLOps
MLflow
Kubeflow
Azure ML Pipelines
RAG architectures
prompt engineering
vector databases
integrating language models via APIs
LangChain
LlamaIndex
CI/CD for ML applications
Python
scikit-learn
PyTorch
TensorFlow
enterprise architectures
data platforms
containerization
container orchestration
Infrastructure as Code
observability
ISO 27001
NIS2
BSI requirements
EU AI Act

Additional Information

Required Previous Experiences: Several years of experience with ML/AI architectures or comparable technical tasks in enterprise environments.
Preferred Qualifications: knowledge of other Azure AI Services
Experience with orchestration frameworks such as LangChain or LlamaIndex
Knowledge of adjacent areas such as data platforms, containerization, container orchestration, Infrastructure as Code, and observability is an advantage—for example Databricks, Azure Data Factory, Azure Data Lake, Docker, Kubernetes, Terraform, Prometheus, Grafana, or Application Insights.
Understanding of governance, security, and compliance requirements in regulated environments. Knowledge of relevant standards and regulatory frameworks such as ISO 27001, NIS2, BSI requirements, or the EU AI Act, as well as corresponding governance tools, is a plus.
relevant Azure certifications
experience in the energy sector or utilities, for example predictive maintenance, time-series analyses, or public procurement processes such as VgV and EVB-IT.