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.

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.

• 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, and 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.

Tanium is the Autonomous IT company. Driven by AI and real‑time endpoint intelligence, Tanium Autonomous IT empowers IT and security teams to make their organizations unstoppable.

Many of the world’s leading organizations trust Tanium’s single, unified platform for endpoint management and security to innovate faster, stay resilient and move business forward with confidence,  learn how Tanium delivers Autonomous IT for unstoppable business – visit  and follow us on Linked In and X.

At Tanium, we are stewards of a culture that emphasizes the importance of collaboration, respect, and diversity. In our pursuit of revolutionizing the way some of the largest enterprises and governments in the world solve their most difficult IT challenges, we are strengthened by our unique perspectives and by our collective actions.

As a global organization with stakeholders around the world, it’s imperative that the diversity of our customers and communities is reflected internally in our team members. We strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that only together can we do great things.

Our commitment to excellence and innovation has earned us a place on the Forbes Cloud 100 list for ten consecutive years, and we continue to be recognized worldwide as a great place to work.

Each of our team members has 5 days set aside as volunteer time off (VTO) to contribute to the communities they live in and give back to the causes they care about…