Enterprise AI Architect
USD 112K-180K (estimate) Senior-level Full Time
Tasks
- Build model governance frameworks
- Clean and validate data
- Design agentic AI workflows
- Design supervised and unsupervised models
- Ensure explainability and compliance
- Identify functional requirements
- Implement MLOps pipelines
- Integrate LLMs into web and mobile applications
- Lead AI architecture and implementation
- Mentor technical team on AI ethics
- Mitigate model bias and fairness
- Monitor training and data drift
- Optimize operations using analytics
- Perform data and error analysis
- Stay current with AI research
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Bedrock | AWS ECS | AWS Textract | Agentic AI | Amazon Comprehend | Amazon SageMaker | Anthropic API | Bias Mitigation | CNN | Classification | Clustering | Context engineering | Data Compliance | Deep learning | Docker | Explainable AI | GAN | Generative AI | Healthcare Data | Healthcare data compliance | Huggingface | Keras | Kubernetes | Langchain | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Governance | Multimodal Data | Natural Language | Natural Language Processing | NoSQL | OpenAI API | Pandas | Prompt engineering | PyTorch | Python | R | RNN | Regression | Retrieval-Augmented Generation | SQL | Supervised Learning | TensorFlow | Transformer Models | Unsupervised Learning
Education
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