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AI Platform Engineer

Raleigh💼 Full-time🗓 2026-09-11 → 2026-09-25

Core

Build and secure the Sysdig AI Platform (MCP fleet, agent platform, Bedrock runtime) to enable safe, observable, and governed AI adoption for business apps and databases.

Role type

Senior Platform Engineer (AI/LLM Infrastructure)

Builds

Self-hosted and managed MCP servers, agent deployment patterns, Bedrock runtime gateway, and AI usage pipelines.

Domain

Cloud Security, AI Infrastructure, AWS

Deliverable

production ML models | infrastructure

Required skills

AWS (IAM, ECS, Lambda, VPC), Full-stack development, MCP server/API integration, LLM APIs and agent development, CI/CD, Containerization

Preferred skills

Prompt engineering, Identity management, Data governance, Cost attribution

Technologies

AWS, MCP, Bedrock, Snowflake, Okta, Claude, Slack, Google Workspace

Responsibilities

Ship and patch MCP servers, manage the MCP registry, own agent platform guardrails and observability, build Bedrock-to-Snowflake usage pipelines, configure MDM and auth flows for non-technical users, enforce governance and least privilege.

Seniority

Senior, hands-on IC

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