AI Solutions Architect
USD 158K-264K (estimate) Senior-level Full Time
Tasks
- Architect and lead development of an AIOps platform
- Design AI pipelines for anomaly detection predictive analytics root cause analysis and intelligent alerting
- Develop and deploy machine learning and deep learning models for IT operations
- Ensure platform reliability scalability security and maintainability
- Evaluate and select Azure and Google Cloud services for data ingestion processing and model deployment
- Integrate AI capabilities into operational workflows and tools
- Mentor engineering teams on AI architecture and model lifecycle management
- Monitor model performance and governance using MLOps practices
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Apache Airflow | Apache Kafka | Apache Spark | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure Foundry | Azure Machine Learning | Cause analysis | Cloud platform | Data Engineering | Data Lake Storage | Data Processing | Datadog | Deep learning | ELK Stack | Generative AI | Google Cloud | Google Cloud Platform | Google Vertex | Google Vertex AI | Grafana | Huggingface | IT Operations | Incident Management | Knowledge graphs | Kubernetes | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Governance | Model Monitoring | Natural Language | Natural Language Processing | Observability | Predictive Analytics | Prometheus | PyTorch | Python | Real Time | Real-time Data | Real-time Data Processing | Root Cause Analysis | Root cause | Scikit-learn | Series forecasting | ServiceNow | TensorFlow | Time Series | Time Series Forecasting | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Solutions | AI Solutions Architect | Architect | Solutions Architect
Regions
Countries
States
Cities
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