AI Engineer, Enterprise AI (Principal/Sr. Principal/Distinguished)

Santa Clara, California, United States Product Engineering Ref ID: JR-016209

Our Mission

At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.

Who We Are

In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!

We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.

Job Summary

We are looking for 10x AI Engineers to help design, build, and operationalize AI-enabled workflows driving an AI-first enterprise. This role sits at the intersection of application engineering, automation, data integration, and AI systems deployment. The person in this role will harness the power of AI using strong systems thinking, model APIs, data sources, and workflow layers in ways that improve speed, quality, and business impact.

We are looking for engineers with an AI-first mindset who know how to use AI effectively and manage AI-enabled workflows to build practical technology solutions. This role is designed for systems-thinkers and orchestrators who can move fluidly between hands-on building and critically editing AI-generated solutions. You must have demonstrated expertise in workflow automation and enterprise integration, and the ability to operate effectively in ambiguous environments with sound technical judgment

Key Responsibilities

• Build and deploy AI-enabled internal workflows that connect enterprise systems, data sources, model APIs, and automation layers.
• Design and improve retrieval, prompting, tool-calling, and orchestration patterns for internal use cases such as knowledge assistants, workflow automation, and decision support.
• Leverage AI-assisted development to accelerate implementation, bringing a strong 'editor' mindset to ruthlessly audit, review, and secure AI-generated code against our standards for reliability, security, observability, and documentation
• Develop and maintain evaluation approaches for output quality, retrieval accuracy, latency, and failure modes, and use findings to improve system performance over time.
• Lead rigorous problem formulation by partnering with IT, security, data, HR, Finance, and business stakeholders. You will ensure we are applying AI to solve the right business problems before translating those needs into scalable technical solutions
• Contribute reusable components, playbooks, and patterns that reduce duplicate effort and improve speed across the IT engineering environment.
• Help identify where human review, controls, and escalation paths are required to support responsible deployment of AI-enabled systems.
• sound engineering judgment to balance speed, usability, risk, and maintainability in production and near-production environments.
• Demonstrated ability to tie technical architecture and AI implementations directly to measurable business outcomes, recognizing that technology serves the business

Qualifications

Required Qualifications

• 3 to 8 years of Agentic AI relevant experience in software engineering, IT engineering, platform engineering, workflow automation, or related technical roles.
• Demonstrated experience building or deploying applied AI systems in production or near-production environments.
• Hands-on experience with one or more of the following: LLM APIs, retrieval-augmented generation, workflow orchestration, agent or tool calling, prompt design, evaluation frameworks, or AI observability.
• Experience integrating applications, data sources, or internal platforms through APIs, services, event-driven patterns, or workflow tools.
• Strong systems thinking and the ability to work across data, model, application, and infrastructure layers.
• Ability to operate with incomplete information, break down ambiguous problems, and move from concept to implementation with appropriate judgment.

Preferred Qualifications

• Experience in enterprise-scale environments with meaningful security, privacy, or compliance constraints.
• Experience with telemetry, or production monitoring for AI systems.
• Evidence of applied AI building, such as GitHub contributions, technical writing, demos, open-source work, or community participation.
• Demonstrated curiosity and hands-on engagement with emerging AI tooling and signal-based learning communities.

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.

$185,200.00 - $299,475.00/yr

Our Commitment

We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.

We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com.

Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.

All your information will be kept confidential according to EEO guidelines.

Is role eligible for Immigration Sponsorship?: Yes