Principal AI Engineer (Remote)
Oak Brook, IL, United States
R
USD 128K-200K (estimate) Senior-level Full Time
Tasks
- Coach engineers on responsible AI adoption
- Conduct red teaming and safety monitoring
- Define and enforce CI/CD best practices
- Define and track outcome based KPIs
- Ensure observability and operational readiness
- Establish reference architectures and reusable patterns for GenAI
- Implement Infrastructure as Code and MLOps LLMOps
- Lead architecture discovery with stakeholders
- Manage model versioning and prompt config management
- Mentor architects and technical leads
- Own end to end solution architecture for AI and AI enabled products
- Perform evaluation frameworks and drift detection
- Publish architecture decision records
- Review critical pull requests and architecture decisions
- Select fit for purpose models and services
- Serve as architecture authority for GenAI and applied AI solutions
Perks/Benefits
Skills/Tech-stack
API Gateways | Agent Orchestration | Artificial Intelligence | BigQuery | By Design | CI/CD | Cloud Computing | Config Management | Dataflow | Drift Detection | Event Driven | Event-driven architecture | Function Calling | GenAI | Google Kubernetes | Google Kubernetes Engine | Infrastructure as Code | Kubernetes | Kubernetes Engine | LLMOps | MLOps | Machine Learning | Microservices | Model Evaluation | Model versioning | OAuth | OIDC | Prompt Config Management | Prompt engineering | PubSub | Retrieval-Augmented Generation | Secrets management | Security by design | Telemetry | Terraform | Vector Databases | Vector Search | Vertex AI | “as-code”
Roles
AI | AI Engineer | AI Solutions | AI Solutions Architect | Architect | Engineer | Principal | Principal AI Engineer | Solutions Architect
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