Corporate AI Engineer

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 the 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.

• 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, Service Now) 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, retrieval‑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 solutions, including monitoring, logging, performance tuning, and ongoing optimization.
• Partner with Security, Privacy, and IT teams to ensure AI solutions comply with enterprise governance, risk, and compliance requirements.
• Develop and maintain technical documentation, runbooks, and reusable implementation patterns.

• 4+ years of experience in software engineering, platform engineering, data engineering, application management, or a similar hands‑on technical role.
• Demonstrated experience building, integrating, or operating production systems in an enterprise environment.
• Hands‑on experience implementing AI‑enabled solutions, including generative AI concepts such as prompt engineering, embeddings, or RAG with best‑in‑class AI technologies from OpenAI, Anthropic, Service Now, Microsoft, etc.
• Experience working with APIs, integrations, MCPS, and enterprise SaaS platforms.
• Working knowledge of AI‑related risks, including data security, privacy, model limitations, and cost considerations.

The annual base salary range for this full‑time position is $75,000 to $230,000. This range is an estimate for what Tanium will pay a new hire. The actual annual base salary offered may be adjusted based on a variety of factors, including but not limited to, location, education, skills, training, and experience.

In addition to an annual base salary, team members will receive equity awards and a generous benefits package consisting of medical, dental and vision plan, family planning benefits, health savings account, flexible spending account, transportation savings account, 401(k) retirement savings plan with company match, life, accident and disability coverage, business travel accident insurance, employee assistance programs, disability insurance, and other well‑being benefits.

For more information on how Tanium processes your personal data, please see our Privacy Policy.