Senior AI Platform Architect (Teradyne, North Reading)
Tasks
- Advise business leaders on AI use cases and prioritization
- Architect centralized Model Context Protocol MCP Server
- Define architectural standards and reusable MLOps and LLMOps patterns
- Design enterprise AI strategy blueprint
- Drive AI change management and adoption
- Ensure scalability reliability and cost optimization
- Evaluate AI technologies and recommend adoption
- Facilitate workshops training and knowledge sharing
- Implement AI governance framework with CISO
- Lead unified AI ecosystem architecture
- Mentor teams in agentic AI design MLOps and LLMOps
- Oversee MLOps and LLMOps strategy from development to deployment and monitoring
Perks/Benefits
- Flexible spending accounts
- Health, dental, and vision benefits
- Life and disability insurance
- Paid vacation and holidays
- Retirement savings plans
- Tuition assistance
Skills/Tech-stack
AI Foundry | Agentic AI | Azure AI | Azure AI Foundry | CI/CD | Cloud platform | Copilot Studio | Cortex AI | Data Architecture | Data Governance | Data Security | Enterprise Architecture | Generative AI | Google Cloud | Google Cloud Platform | Google Vertex | Google Vertex AI | Infrastructure as Code | LLMOps | Language Models | Large Language Models | MLOps | Machine Learning | Microsoft 365 | Microsoft 365 Copilot | Microsoft Copilot | Microsoft Copilot Studio | Model Context Protocol | Model Context Protocol MCP | Protocol MCP | Snowflake Cortex | Snowflake Cortex AI | Vertex AI | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
AI | AI Platform Architect | Architect | Enterprise Architect | Platform Architect
Regions
Countries
States
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