Director, AI

At Infoblox, every breakthrough begins with a bold "what if." What if your ideas could ignite global innovation? What if your curiosity could redefine the future?

We invite you to step into the next exciting chapter of your career journey. Bring your creativity, drive, your daring spirit, and feel what it's like to thrive on a team big enough to make an impact, yet small enough to make a difference. Our cloud‑first networking and security solutions already protect 70% of the Fortune 500, and we're looking for creative thinkers ready to push that influence even further.

Join us and discover how far your bold "what if" can take the world, your community, and your career.

How we empower our people is extraordinary: we're recognized as a Glassdoor Best Place to Work 2025, Great Place to Work‑Certified in five countries, and honored by Cigna as a Healthy Workforce honors for three consecutive years;
And what we build is world class: named Cybersec Asia's Best in Critical Infrastructure 2024 – clear evidence that when first‑class technology meets empowered talent, remarkable careers take shape. So, what if the next big idea, and the next great career story, comes from you? Become the force that turns every "what if" into "what's next".

In a world where you can be anything, Be Infoblox.

We have an opportunity for a Director, AI to join our Digital Transformation team in Santa Clara, CA (HQ), Tacoma, WA, or Remote, reporting to the Chief Information Officer (CIO). In this pivotal role, you will lead the development and execution of our enterprise AI strategy, driving innovative, data‑driven solutions that enhance efficiency, resilience, and intelligence across IT operations and business systems.

Collaborating closely with our data science, security, infrastructure, and application development teams, you will architect and deploy cutting‑edge AI capabilities in a dynamic, cloud‑first environment – advancing automation, predictive analytics, and intelligent decision support across the organization. You'll help shape the future of enterprise technology by working with a collaborative team that prioritizes innovation, continuous learning, and measurable business impact.

• Develop enterprise‑wide AI strategy and roadmap aligned with IT modernization and business transformation objectives
• Lead the design, development, and deployment of AI and machine learning models that optimize IT operations, cybersecurity, and service delivery
• Apply architectural thinking to ensure AI solutions align with enterprise architecture principles, scalability standards, and long‑term technology vision
• Collaborate with data engineering, Dev Ops, and infrastructure teams to ensure scalable, secure integration of AI into enterprise platforms
• Evaluate emerging AI technologies and vendors to identify opportunities for innovation and operational improvement
• Establish governance frameworks and ethical standards for AI adoption, data usage, and model transparency
• Drive automation initiatives that improve system performance, incident response, and predictive maintenance
• Ensure robust data pipelines and infrastructure to support advanced analytics and model training at scale
• Mentor cross‑functional teams and foster AI fluency across the IT organization
• Partner with business leaders to translate strategic objectives into actionable AI‑driven solutions
• Measure and communicate the value and ROI of AI initiatives to executive leadership

• 10+ years of progressive experience in AI/data science/ML engineering roles, including leadership of teams and large‑scale deployments
• 5+ years in a strategic technology leadership role (e.g., managing enterprise data, analytics or AI initiatives)
• Expertise in machine learning frameworks, large‑scale data platforms, and cloud/edge computing environments
• Strong proficiency in enterprise architecture and architectural thinking—able to design reusable, scalable AI/ML solution patterns that align with business technology standards
• Proven ability to translate complex AI/ML concepts into business outcomes, build strong cross‑functional relationships (with data…