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Overview
Mid-Level

Corporate AI Engineer

Confirmed live in the last 24 hours

Tanium

Tanium

Compensation

$75,000 - $230,000/year

Addison, TX (Hybrid); Bellevue, WA (Hybrid); Durham, NC (Hybrid); Emeryville, CA (Hybrid); Reston, VA (Hybrid)
Hybrid
Posted March 26, 2026

Job Description

The Basics

The Corporate AI Engineer is a handson technical role responsible for building, integrating, and operationalizing AIenabled solutions across the enterprise. This role focuses on delivery and execution, turning prioritized AI use cases into secure, scalable, productionready capabilities that drive measurable business value. 

As a core AI-solution delivery member of Enterprise Architecture team, the Corporate AI Engineer partners closely with IT, Security, Data, and Business teams to move AI solutions from idea to pilot to measurable enterprise impact. 

Join us if you are passionate about leveraging AI to drive meaningful outcomes and if you thrive in a growing, collaborative and innovative environment. 

This position follows the Company’s hybrid schedule which currently requires employees to work in the office at one of the following locations a minimum of three days per week: Addison, TX; Bellevue, WA; Durham, NC; Emeryville, CA; or Reston, VA.

 

What you'll do

  • Design, build, and deploy AI-enabled solutions aligned to prioritized use cases.
  • Implement AI workflows, integrations, and automations across enterprise platforms (e.g., Microsoft 365, Salesforce, ServiceNow)using best-in-breed AI technology from Anthropic, OpenAI, etc. 
  • Translate architectural designs and business requirements into working AI solutions, including prompt engineering, orchestration logic, retrievalaugmented generation (RAG) patterns. 
  • Integrate AI solutions with enterprise data sources and systems of record, ensuring data quality, accuracy, and appropriate access
  • Own operational readiness of AI solutions, including monitoring, logging, performance tuning, and ongoing optimization.
  • Partner with Security, Privacy, and IT teams to ensure AI solutions comply withenterprise governance, risk, and compliance requirements. 
  • Develop and maintaintechnical documentation, runbooks, and reusable implementation patterns. 
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