Principal AI Engineer
Tasks
- Architect AI platform
- Build ML inference infrastructure
- Build eval and observability stack
- Conduct bias testing
- Create tool registry
- Debug agent interactions
- Define AI FinOps strategy
- Define AI engineering standards
- Define authentication gating
- Define reference architectures for AI services
- Define responsible AI framework
- Design API gateway patterns
- Design multi-agent orchestration
- Develop trust infrastructure for regulated AI
- Enable multi tenant isolation
- Enforce content safety guardrails
- Ensure compliance with PCI-DSS
- Ensure compliance with SOC 2
- Establish AI decision rules for service deployment
- Establish model validation processes
- Evaluate AI technologies and present recommendations
- Identify AI value opportunities
- Implement LLM gateway
- Implement policy enforcement
- Lead design reviews
- Maintain audit trails
- Manage PII governance
- Mentor engineers on AI workflows
- Prototype new capabilities
- Review critical pull requests
- Translate business goals into AI strategy
- Write architecture decision records
- Write production code
Perks/Benefits
Skills/Tech-stack
.NET | AI Foundry | AKS | API Gateway | Agent Orchestration | Authentication | Authorization | Azure AI | Azure AI Foundry | Azure DevOps | Azure ML | Bias Testing | Budget Forecasting | C# | CI/CD | Content Safety | Kong | Kubernetes | LLM | Machine Learning | Model Evaluation | Model routing | Multi-Agent | Multi-agent orchestration | Multi-tenancy | Observability | Open Policy Agent | PCI DSS | PII governance | Policy Agent | Policy enforcement | Prompt engineering | Python | Quota Management | RAG | Regulated AI | SOC 2 | Semantic Kernel | Semantic Versioning | System Architecture | System design | Token metering
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Architect | AI Engineer | Architect | Engineer | Principal | Principal AI Engineer
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