Senior AI Engineer
325 Binney St - Cambridge - USA - MA, United States
USD 145K-234K Senior-level Full Time
Tasks
- Build and review APIs orchestration patterns and model serving interfaces
- Coach and mentor engineers and lead design and code reviews
- Define AI delivery technical strategy and reference architecture
- Design and implement AI and data platform architecture and critical components
- Ensure solutions meet security quality validation GxP and enterprise architecture standards
- Establish AI ML LLMops engineering practices with automated testing and CI CD
- Improve platform reliability performance cost and developer experience
- Integrate SAP and enterprise data sources into trusted data products
- Lead cloud deployment standards across development test validation production
- Manage model prompt versioning evaluation monitoring incident response and rollback
Perks/Benefits
- Discretionary year end shutdown
- Family planning benefits
- Fitness benefits
- Healthcare benefits
- Mental health support
- Mindfulness support
- Paid time off
- Sabbatical
- Savings and investments
- Volunteer days
Skills/Tech-stack
AWS | Authentication | Authorization | Azure | CI/CD | Databricks | Delta Lake | Embeddings | Feature Store | GCP | GraphQL | Human-in-the-loop | IAM | Incident Response | Infrastructure as Code | JavaScript | LLMOps | Lakehouse | MLflow | Model Monitoring | Node.js | Observability | Python | RAG | REST | React | SAP BTP | SAP ECC | SAP S4HANA | SQL | Secrets management | Terraform | The Loop | TypeScript | Unity Catalog | Vector Search | “as-code”
Education
Roles
Regions
Countries
States
Cities
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