Site AI Engineer - Boston, MA
Tasks
- Assess process and data maturity
- Automate infrastructure
- Build AI agent MVPs
- Build API integrations
- Communicate stakeholder impact
- Design ETL and event driven connectors
- Develop agentic RAG pipelines
- Draft user stories and acceptance criteria
- Enable change management for adoption
- Ensure security and data governance compliance
- Evaluate AI platforms and tools
- Identify AI use cases
- Lead workflow discovery
- Monitor model and pipeline performance
- Orchestrate cross cloud deployments
- Train users and track ROI metrics
Perks/Benefits
- 401k match
- Backup daycare days
- Commuter benefits
- Dental insurance
- Disability insurance
- Life insurance
- Medical insurance
- Paid time off
- Virtual care
- Vision insurance
Skills/Tech-stack
AWS Bedrock | Airflow | Amazon SageMaker | Azure OpenAI | CI/CD | ChatGPT enterprise | CloudFormation | Cost monitoring | Data Governance | Databricks | Databricks Workflows | ELT | ETL | FastAPI | Git | GitHub | GitHub Actions | GitOps | GraphQL | Information security | Model Monitoring | OpenAI | OpenSearch | Python | REST APIs | SQL | Terraform | Vector Databases
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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