AI Application Architect
Core
Technical authority guiding the design, scalability, and security of AI-powered product suites, including agentic systems and RAG pipelines.
Role type
Senior IC AI Application Architect
Builds
Production-ready AI-native applications, scalable AI workloads, and integrations between LLMs and backend services.
Domain
Enterprise SaaS, AI/ML, Cloud-Native
Deliverable
production ML models
Required skills
LLM-powered application design, full-stack leadership (React, TypeScript, Node.js, Python), cloud-native architecture (Kubernetes, AWS/GCP/Azure), API security, RBAC/ABAC, LLMOps, workflow orchestration
Preferred skills
MCP/tool-calling infrastructure, Temporal/Prefect, LLM evaluation (red-teaming), ML model supply chain security, open-source AI contributions
Technologies
AWS, Azure, GCP, Kubernetes, Helm, React, TypeScript, Node.js, Python, Langfuse, OpenTelemetry, Airflow
Responsibilities
Set architecture for AI-native applications and agentic systems; Guide infrastructure choices for scalable AI workloads; Design integrations between LLMs and backend services; Lead LLMOps and observability strategy; Establish security and compliance practices for AI systems; Mentor senior engineers and build technical communities.
Seniority
Senior, hands-on IC
