Principal Technical Architect
Tasks
- Advise on prompt engineering and agent orchestration
- Architect AI agent strategies for enterprise customers
- Build customer knowledge graph
- Design enterprise integration patterns and APIs
- Design infrastructure for performance and latency
- Design memory architecture and agent orchestration layer
- Develop RAG pipelines with vector search and hybrid retrieval
- Establish evaluation frameworks for AI agents
- Implement autonomous customer success agent platform
- Implement confidence based autonomy framework
- Implement observability for LLM systems
- Lead architecture workshops for AI automation
- Select scalable technologies
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AI Agents | AWS | Access Control | Amazon S3 | Artificial Intelligence | Audit trails | Azure | B testing | Cloud Computing | Cloud platform | DynamoDB | Embeddings | Enterprise Integration | Enterprise Integration Patterns | Event Driven | Event-driven architecture | Google Cloud | Google Cloud Platform | Graph Databases | IPaaS | Integration Patterns | Integration Platforms | JSON | Kafka | Kinesis | Knowledge graph | LLM Observability | Lambda | Langgraph | Language Models | Large Language Models | Latency profiling | Learning evaluation | MCP (Model Context Protocol) | Machine Learning | Machine learning evaluation | Microservices | Model Context Protocol | MuleSoft | Neo4j | OAuth | Oracle SOA | Prompt engineering | Pub/Sub | Pub/Sub Messaging | Python | RAG | REST APIs | Role-Based Access | Role-Based Access Control | SOAP | SSO | Tibco | Token Monitoring | Tracing | Vector Databases | WebMethods | Webhooks | XML
Education
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