AI Solution Architect (m/w/d) is a AI Solutions Architect role (full-time). with virtual7 GmbH. in REMOTE, WORLDWIDE. Imported listing (source: remoshift.com). Apply on the employer's site (remoshift.com).
Imported listing (source: remoshift.com) · Apply on remoshift.com
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Imported job description
Sourced from remoshift.com
virtual7 GmbH is seeking an AI Solution Architect to design and lead the AI/ML architecture for complex enterprise environments on Microsoft Azure. The role combines deep expertise in ML engineering, RAG architectures, and MLOps to deliver production-ready, scalable, and secure AI solutions. You will work closely with technical experts, business units, and decision-makers to establish innovative AI solutions.
Responsibilities
Design and further develop the AI/ML overall architecture as an enterprise AI platform with a focus on Microsoft Azure
Provide technical leadership for ML pipeline projects, especially in training, deployment, monitoring, and drift detection
Design and optimize RAG architectures, including chunking, retrieval, guardrails, and context orchestration
Define and evolve MLOps strategies including CI/CD for models, experiment tracking, and model registry
Provide technical leadership and coordination for interdisciplinary teams of ML/AI Engineers, LLM Engineers, and MLOps Engineers
Advise internal and external stakeholders on AI architectures and present technical concepts to IT leadership and business units
Requirements
Solid experience with cloud-based AI/ML solutions, ideally on Microsoft Azure, especially Azure Machine Learning and Azure OpenAI Service
virtual7 GmbH is an IT consulting and software development company specializing in digital transformation solutions for the public sector. They provide customized IT services for federal, state, and local government authorities to modernize and simplify digital processes.
Hands-on experience with MLOps concepts and tools such as MLflow, Kubeflow, or Azure ML Pipelines
Experience building RAG architectures, prompt engineering, and working with vector databases
Knowledge of integrating and orchestrating language models, ideally with frameworks like LangChain or LlamaIndex
Experience with CI/CD for ML applications and very good Python skills
Practical experience with at least two common machine learning frameworks, e.g., scikit-learn, PyTorch, or TensorFlow
Experience building enterprise architectures in cloud environments
Several years of experience with ML/AI architectures or comparable technical tasks in enterprise environments
Very good German skills (C2 level) and good English skills
Nice to Have
Knowledge of adjacent areas such as data platforms, containerization, container orchestration, Infrastructure as Code, and observability, e.g., Databricks, Azure Data Factory, Azure Data Lake, Docker, Kubernetes, Terraform, Prometheus, Grafana, or Application Insights
Basic understanding of AI governance, responsible AI, and security and data protection requirements in enterprise environments
Experience in a technical leadership or architecture role
Azure, AWS, or Google Cloud certifications
Experience in the energy industry or utilities sector and with data-driven use cases
Benefits
flexible hoursremote workhardware budgetmental health supportLearning & developmentdevice leasingbike leasingcompany car
Tech Stack
PythonRAGVector DatabasesCI/CDMLOpsPyTorchTensorFlowKubernetesDockerPrompt EngineeringScikit-learnLangChainDatabricksMLflowTerraformLlamaIndexKubeflowPrometheusGrafanaAzure Machine LearningAzure Data FactoryAzure Data LakeAI governanceMicrosoft AzureResponsible AIAzure OpenAI ServiceApplication Insights
Architecte Senior de Solutions (Expérience en Intelligence Artificielle)