AI Platform Engineer

Job overview

The AI Platform Engineer role is hybrid in the Denver metropolitan area. Compensation is not specified. The position supports enterprise-wide access to governed AI platforms and tools for the client organization. The engineer builds infrastructure and controls that let developers and other employees use approved AI capabilities through self-service, while managing access, data protection, system health, and cost. The work enables teams to build and operate AI features without needing to manage the underlying platform plumbing.

What you'll do

• Provision and maintain containerized and GPU-backed AI compute
• automate platform updates with rollback
• build retrieval systems and maintain vector stores and data sources
• route access to approved models and providers
• redact sensitive prompt data and implement output guardrails
• configure permissions and self-service access
• monitor system health, response times, and errors
• track model and feature usage and spend
• build self-service tools and APIs
• expose usage, cost, and performance metrics through APIs or dashboards.

What we're looking for

Skills & competencies

ai platform engineer

placed

denver metro area co

hybrid

ai platform

platform engineering

cloud infrastructure

devops

python

llm platforms

retrieval systems

vector stores

security governance

contract-to-hire

Work arrangement

• Weekend coverage required

Why this role

Six-month contract-to-hire engagement; hybrid work requires residence in the Denver metro area. The posting requires production AI or LLM platform experience and strong Python skills.

About the employer

Placed is hiring for this role. Industry: Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services. Sector: 51.