AI Platform Architect (Teradyne, North Reading)
Tasks
- Advise business leaders on AI use cases
- Architect MCP server gateway
- Create AI and data component roadmap
- Define AI tool selection strategy
- Design data integration strategy
- Develop enterprise AI architecture blueprint
- Ensure AI scalability reliability and cost effectiveness
- Establish reusable LLMOps patterns
- Establish reusable MLOps patterns
- Evaluate emerging AI technologies
- Implement AI governance framework
- Integrate AI ecosystem platforms
- Lead AI transformation change management
- Lead AI workshops and knowledge sharing
- Mentor teams in MLOps and LLMOps
- Mentor teams in agentic AI design
- Oversee AI model and agent lifecycle MLOps strategy
- Partner with CISO on AI security
Perks/Benefits
- Flexible spending accounts
- Life and disability insurance
- Medical, dental, vision benefits
- Paid vacation and holidays
- Retirement savings plans
- Tuition assistance
Skills/Tech-stack
AI Foundry | Agentic AI | Artificial Intelligence | Azure | 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 Azure | Microsoft Azure AI | Microsoft Copilot | Microsoft Copilot Studio | Model Risk Management | Model risk | Regulatory Compliance | Risk Management | Snowflake | Snowflake Cortex | Snowflake Cortex AI | Vertex AI | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Information Systems
Roles
Regions
Countries
States
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