Architect - Emerging Technologies Engineer (Python, AI)
Tasks
- Benchmark and evaluate foundation models and vector databases
- Build POCs for AI and generative AI
- Develop Retrieval-augmented generation solutions
- Develop custom copilots declarative agents skills plugins connectors
- Document POC design results lessons learned recommendations
- Implement Claude solutions using Anthropic API and Claude Code
- Implement integrations with enterprise data sources identity providers and APIs
- Integrate tools and data using Model Context Protocol
- Prototype and integrate agentic AI solutions
- Set up and manage development environments sandboxes and tenants
Perks/Benefits
- N/A
Skills/Tech-stack
.NET | AI Search | AWS Bedrock | Agentic AI | Anthropic API | Artificial Intelligence | Autogen | Azure AI | Azure AI Search | Azure Machine Learning | CI/CD | Claude Code | Copilot Cowork | Copilot Studio | Embeddings | Entra ID | Fine Tuning | Generative AI | Git | GitHub | GitHub Copilot | LLM | Langchain | Langgraph | Langsmith | MCP | Machine Learning | Microsoft 365 | Microsoft 365 Copilot | Microsoft Azure | Microsoft Graph | Model Context Protocol | PGVector | Pinecone | Power Platform | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Semantic Kernel | TypeScript | Vector Databases | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Emerging Technologies Engineer | Engineer
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