Corporate AI Engineer
Tanium - Addison, TX (Hybrid); Bellevue, WA (Hybrid); Durham, NC (Hybrid); Emeryville, CA (Hybrid); Reston, VA (Hybrid)
Posted Mar 26, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Corporate AI Engineer Addison, TX (Hybrid); Bellevue, WA (Hybrid); Durham, NC (Hybrid); Emeryville, CA (Hybrid); Reston, VA (Hybrid) The Basics The Corporate AI Engineer is a hands ‑ on technical role responsible for building, integrating, and operationalizing AI ‑ enabled solutions across the enterprise. This role focuses on delivery and execution, turning prioritized AI use cases into secure, scalable, production ‑ ready 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, retrieveal augmented 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
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