Sr. Distinguished Engineer - AI-First Transformation

Job Summary We are seeking a visionary Distinguished Engineer to drive our AI‑First Transformation, bridging the gap between AI technology and business impact. You will re‑imagine how our enterprise operates by rewriting operational workflows to drive efficiency, personalization, and speed. Your goal is to build a scalable “AI Factory” that moves the organization from ad‑hoc pilots to industrialized business value by leading the end‑to‑end AI lifecycle and translating ideas into tangible business outcomes. Key Responsibilities Define the AI transformation roadmap, ruthlessly prioritizing initiatives like autonomous agents and predictive operations to ensure a clear path to ROI. Oversee the data strategy, curating “Golden Examples” from institutional history to train models on our best work and digitize our “Enterprise Memory”. Re‑imagine and design “Invisible AI” workflows that seamlessly assist human experts, rather than simply digitizing existing processes. Establish rigorous “Report Cards” for AI models to move from “vibes‑based” decisions to structured evaluation, measuring accuracy, latency, and business relevance before production. Partner with Legal, InfoSec, and Engineering to implement strict governance and safety “Circuit Breakers,” protecting company IP and preventing data leaks or unsafe AI actions. Own the adoption curve and unit economics, ensuring workforce trust in AI tools and preventing model decay by maintaining a fresh knowledge base. Required Qualifications Bachelor’s degree with 15 years of related experience, or Master’s degree with 12 years of experience, or PhD with 8 years of experience. Deep experience leading cross‑functional teams at the intersection of Business Strategy and Technical Execution. Proven “General Manager” mindset with a track record of owning the P&L or business outcome of a digital product. Fluency in the modern AI stack, understanding the capabilities and limitations of LLMs, RAG architectures, and Agentic workflows. Preferred Qualifications Ability to translate complex concepts between CXOs (Business Outcomes), CIOs (Architecture/Security), and Data Scientists (Models/Weights). Technical fluency to design workflows that handle ambiguity and require human‑in‑the‑loop validation. Demonstrated success in change management, driving technology adoption, managing automation concerns, and upskilling teams. 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/commissioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. $351,750.00/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. Accommodation Availability 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 View email address on click.appcast.io. Equal Opportunity Employer 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. #J-18808-Ljbffr Palo Alto Networks, Inc.