Enterprise AI Systems Engineer
Core
Design, build, and operate end-to-end enterprise AI platforms (Claude, Gemini, OpenRouter) and LLM gateways to enable agentic workflows and automations across the organization.
Role type
Senior IC Enterprise AI Systems Engineer
Builds
Centralized LLM gateways, MCP servers, agentic workflows, and internal AI tooling for 250+ users
Domain
Enterprise AI infrastructure, Cloud (AWS/GCP), LLM Operations
Deliverable
production ML models | infrastructure
Required skills
LLM administration, Model Context Protocol (MCP), LLM gateway architecture, AWS/GCP cloud architecture, Python, TypeScript, agentic workflow design, cost optimization, security governance
Preferred skills
Vertex AI, Amazon Bedrock, self-hosted open-weight models, vector databases, RAG pipelines, SIEM tools
Technologies
Claude, Gemini, OpenRouter, Cursor, NotebookLM, AWS, GCP, Bedrock, Vertex AI, GitHub, Python, TypeScript
Responsibilities
Administer enterprise AI tenants (user provisioning, security, configuration), build MCP servers and LLM gateways, architect AI workloads on cloud providers, develop agentic workflows and automations, monitor platform availability and costs, enforce data governance policies
Seniority
Senior, hands-on IC
