AI Platform Engineer (Teradyne, North Reading)
Tasks
- Architect MCP server gateway for secure governed interactions
- Build RAG workflows with vector databases and embeddings
- Build configure maintain AI platform environments
- Create Power Automate workflows with AI agents
- Create manage platform integrations and resources
- Develop agentic AI solutions and workflows
- Engineer MLOps and LLMOps pipelines
- Implement AI guardrails and responsible AI controls
- Implement RBAC and security controls
- Implement monitoring dashboards for performance and costs
- Integrate AI agents with enterprise data sources and APIs
- Maintain centralized logging for audit trails
- Mitigate prompt injection and unauthorized data access
Perks/Benefits
- Flexible spending accounts
- Health, dental, vision insurance
- Life and disability insurance
- Paid vacation and holidays
- Retirement savings plan
- Tuition assistance
Skills/Tech-stack
AI Foundry | AI Security | Access Control | Azure AI | Azure AI Foundry | Azure DevOps | Copilot Studio | Cortex AI | Embeddings | GitHub Actions | Google Vertex | Google Vertex AI | LLMOps | Logging | MLOps | Microsoft 365 | Microsoft Copilot | Microsoft Copilot Studio | Model Deployment | Monitoring | Observability | Power Automate | Prompt injection | Prompt-injection protection | Python | RAG | RBAC | Role-Based Access | Role-Based Access Control | SQL | Snowflake Cortex | Snowflake Cortex AI | Vector Databases | Vertex AI
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Platform Architect | AI Platform Engineer | Architect | Engineer | Platform Architect | Platform Engineer
Regions
Countries
States
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