Agentic AI Engineer II - Cyber Analytics
Phoenix, AZ, United States
USD 89K-150K (estimate) Mid-level Full Time
Tasks
- Build end-to-end AI applications
- Build retrieval-augmented generation pipelines
- Collaborate with security risk governance and data teams to ensure responsible AI
- Create cloud native ML pipelines for deployment
- Deploy AI services using APIs and containers
- Develop prompt engineering and agent based AI systems
- Develop, train, and evaluate machine learning models
- Implement NLP classification clustering anomaly detection predictive analytics
- Manage model lifecycle experimentation evaluation versioning deployment monitoring documentation
- Monitor and document AI solution performance
- Translate business and information security requirements into AI solutions
Perks/Benefits
Skills/Tech-stack
Agentic AI | Anomaly Detection | Argo CD | Argo Workflows | CI/CD | Clustering | Deep learning | Docker | Elasticsearch | Embeddings | Generative AI | Jenkins | Jupyter Notebooks | Kafka | Kibana | Kubeflow Pipelines | Kubernetes | Language Models | Language Processing | Large Language Models | MLOps | MLflow | Machine Learning | Milvus | NLP classification | Natural Language | Natural Language Processing | NoSQL | PGVector | Predictive Analytics | Prometheus | Prompt engineering | PyTorch | Python | RESTful APIs | Retrieval-Augmented Generation | SQL | Scikit-learn | Shell Scripting | Spark | TensorFlow | Vector Databases
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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