Principal Engineer - AI Engineering
USD 159K-254K (estimate) Senior-level Full Time
Tasks
- Architect Agentic AI solutions
- Build model monitoring and drift detection
- Define data and compute separation architecture patterns
- Design and implement MLOps capabilities
- Establish reusable architecture patterns and platform guardrails
- Integrate generative AI RAG and agentic AI into workflows
- Lead cross functional technical alignment and advisory
- Modernize and migrate AI models to cloud platforms
- Provide technical leadership for enterprise AI platform architecture
Perks/Benefits
Skills/Tech-stack
Agent systems | Agentic AI | Ansible | Azure Machine Learning | Chainlit | Cloud platform | Container Platform | CrewAI | Crossplane | Data Governance | Development Lifecycle | Drift Detection | GitHub Actions | Google Cloud | Google Cloud Platform | Google Kubernetes | Google Kubernetes Engine | Harness CD | Infrastructure as Code | Java | Kubernetes | Kubernetes Engine | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Machine Learning | Microsoft Autogen | Microsoft Azure | Model Context Protocol | Model Development | Model Development Lifecycle | Model Monitoring | Multi-Agent | Multi-Agent Systems | Observability | OpenShift Container Platform | Playwright | Prompt engineering | PyTorch | Python | Regulatory Compliance | Retrieval-Augmented Generation | SQL | Security Architecture | Shell | TensorFlow | Terraform | Vector Database | Vertex AI | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Principal | Principal Engineer
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