AI Platform Integration Engineer
Core
Integrate enterprise platform services with an AI Gateway, deploy and operate Model Context Protocol (MCP) servers, and manage AI usage tracking, cost metering, and content guardrails.
Role type
AI Platform Integration Engineer
Builds
Secure integration interfaces, MCP server infrastructure, and AI usage reporting/cost allocation systems
Domain
Cloud engineering, AI/LLM platform integration, FinOps
Deliverable
production ML models
Required skills
AWS cloud services, API gateways, REST APIs, MCP server deployment, AI gateway concepts, rate limiting, token-based usage tracking, content guardrails, troubleshooting, technical problem-solving
Preferred skills
LiteLLM, Kong AI Gateway, AI usage metering, FinOps, Amazon Bedrock Guardrails, AI agent architectures, enterprise AI security, access management, governance
Responsibilities
Integrate enterprise platform services with AI Gateway, deploy and host MCP servers, configure AI service connectivity and routing, integrate usage tracking and cost metering, troubleshoot connectivity and authorization issues, coordinate technical requirements across teams, document integrations and operational procedures
Seniority
Mid-level, part-time IC