AI Engineer
Tasks
- Architect AI ML platforms and applications
- Build and modernize AI enabled web applications
- Define architecture decisions for AI systems
- Design AI solutions for multi cloud and hybrid environments
- Design secure cloud and on prem AI infrastructure
- Develop conversational AI and knowledge management solutions
- Implement Retrieval-Augmented Generation architectures
- Implement secure software delivery with CI CD and IaC
- Lead technical strategy sessions and whiteboarding
- Recommend scalable compliant future proof architectures
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | AI Governance | AI Observability | AWS Bedrock | Amazon Web Services | Azure | Azure AI | Azure AI Foundry | CI/CD | Cloud platform | DevSecOps | Docker | FISMA | FedRAMP | Google Cloud | Google Cloud Platform | Hugging Face | Infrastructure as Code | Knowledge graphs | Kubernetes | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | Machine Learning | Model Evaluation | NIST 800 | Natural Language | Natural Language Processing | Neural Networks | OpenShift | Prompt engineering | PyTorch | Python | RAG | RMF | Retrieval-Augmented Generation | Semantic Search | TensorFlow | Terraform | Trust Architecture | Vector Databases | Vertex AI | Web Services | Zero Trust | Zero Trust Architecture | “as-code”
Education
Roles
AI | AI Engineer | Engineer
Regions
Countries
States
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