AI Application Architect
Core
Lead technical design and evolution of AI-powered product suite, acting as authority on building, scaling, and securing AI-native applications.
Role type
Senior IC AI Application Architect
Builds
Production-grade AI-native applications, agent orchestration systems, and scalable LLM infrastructure
Domain
Enterprise SaaS / AI Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
AI application architecture, LLM infrastructure design, vector database management, workflow orchestration, LLMOps, API security, cloud-native architecture, full-stack development, enterprise compliance
Preferred skills
MCP (Model Context Protocol), LLM evaluation frameworks, supply chain security for ML models, open-source AI tooling contributions
Technologies
Turbopuffer, pgvector, Milvus, Temporal, Airflow, OpenTelemetry, Langfuse, Arize, OpenAI, Anthropic, Gemini, Kubernetes, Helm, AWS, GCP, Azure, React, TypeScript, Node.js, Python
Responsibilities
Define architecture for agentic systems and RAG pipelines; Drive infrastructure decisions for scalable AI workloads; Design integration layer between LLMs and backend services; Lead LLMOps and observability strategy; Establish security and compliance posture for AI systems; Mentor senior engineers and establish technical communities
Seniority
Senior, hands-on IC with mentorship responsibilities