Sr Staff AI Engineer
Tasks
- Align implementations with governance security privacy and model risk standards
- Build RAG pipelines
- Conduct AI experimentation tuning and performance analysis
- Create infrastructure as code
- Create reusable AI components and reference implementations
- Design production AI services
- Develop document intelligence solutions
- Engineer LLM enabled APIs
- Ensure AI performance scalability security cost efficiency resilience
- Implement CI/CD pipelines
- Maintain observability auditability and documentation
- Mentor engineers on AI engineering patterns
- Perform code reviews and design guidance
- Provide production monitoring and observability
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | AWS Bedrock | AWS EventBridge | AWS Lambda | AWS SageMaker | Access Controls | Amazon DynamoDB | Amazon OpenSearch | Amazon S3 | Automated testing | CI/CD | Data Architecture | Data Catalogs | Data Lineage | DataOps | Document Intelligence | Event Driven | Event-driven architecture | Experimentation | Infrastructure as Code | LLM APIs | MLOps | Metadata Management | Microservices | Model Risk Management | Model risk | Privacy | Prompt orchestration) | Retrieval-Augmented Generation | Risk Management | Runtime Observability | Security | Serverless architecture | Unstructured Data | Vector Search | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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