AI Architect
Tasks
- Apply responsible AI practices
- Architect RAG pipelines
- Create reference architectures for AI solutions
- Define enterprise AI architecture
- Design AI service integrations
- Design LLM application standards
- Develop reusable architectural playbooks
- Ensure observability and performance monitoring
- Establish patterns for serverless microservices event driven systems
- Evaluate and recommend AI models and APIs
- Implement enterprise MLOps standards
- Lead proofs of concept for AI adoption
- Lead solution designs for vector databases and inference services
- Mentor engineers and conduct architecture reviews
Perks/Benefits
- 401k match
- Employee discounts
- Financial wellness planning
- Great Place to Work certification
- Health, dental and vision coverage
- Tuition reimbursement
Skills/Tech-stack
AI Search | Authentication | Azure | Azure AI | Azure AI Search | Azure DevOps | Azure Machine Learning | Azure OpenAI | C# | CI/CD | Data Governance | Data Lineage | Data Modeling | Docker | Embeddings | Event Driven | Event-driven architecture | Feature Store | Git | Kubernetes | Lakehouse | Langchain | MLflow | Machine Learning | Microservices | Microsoft Fabric | Model Registry | Node.js | Python | RAG | REST API | Retrieval-Augmented Generation | Security | Semantic Kernel | Serverless | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Architect | Architect | Engineer | Learning Engineer | Machine Learning Engineer
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