AI Architect
USA - Woburn (MA), United States
USD 130K-155K Senior-level Full Time
Tasks
- Connect AI systems to enterprise data and knowledge sources
- Define AI patterns standards and best practices
- Design AI application integrations and retrieval
- Develop enterprise AI roadmap and investment priorities
- Establish AI governance and monitoring
- Evaluate AI platforms and recommend solutions
- Guide secure reliable AI capabilities implementation
- Lead enterprise AI infrastructure design
- Modernize enterprise technology foundation for AI
- Provide architectural guidance for AI automations and workflows
Perks/Benefits
- Hybrid work
- Medical insurance
- Paid time off
- Professional development opportunities
- Retirement planning
- Reward and recognition programs
Skills/Tech-stack
AI Governance | AI Search | AI architecture | API Integration | AWS AgentCore | AWS Bedrock | Access Control | Agent Frameworks | Anthropic | Autogen | Azure AI | Azure AI Search | Azure OpenAI | Boomi | Cloud infrastructure | Compliance | Cost Management | CrewAI | Data Governance | Elasticsearch | Enterprise Architecture | Google Vertex | Google Vertex AI | IBM WatsonX | LLM orchestration | LLMOps | Langchain | Learning platforms | Llamaindex | MLOps | Machine Learning | Machine Learning Platforms | Make | Milvus | Model Evaluation | MuleSoft | N8n | Observability | OpenAI | OpenSearch | PGVector | Pinecone | Platform Engineering | Retrieval-Augmented Generation | Security Architecture | Semantic Kernel | UiPath | Vector Databases | Vertex AI | Weaviate | Workato | Zapier
Education
N/A
Roles
Regions
Countries
States
Cities
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