AI Analyst (Support Agent) at Palo Alto Networks

Tel-Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

17 Mar, 26

Salary

0.0

Posted On

17 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Analysis, Prompt Engineering, Data Governance, Python Proficiency, Customer Support, Model Quality Validation, Technical Communication, Quality Assurance, AI/ML Knowledge, Data Management, Operational Tuning, Cross-Functional Collaboration, Continuous Training, Content Management, Cybersecurity Knowledge

Industry

Computer and Network Security

Description

Company Description Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are 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 Description Your Career Are you an AI Analyst ready to translate raw model output into a reliable, high-quality production system? Do you excel at the craft of Prompt Engineering and thrive on the challenge of ensuring Generative AI output meets rigorous quality standards in mission-critical applications? Join our R&D Operations Team. You will be the AI analyst responsible for the end-to-end quality, performance, and operational tuning of our Generative AI-driven support system (“Co-Pilot”). Your mission is to actively shape the model's intelligence, govern the data it uses, and implement the mechanisms that guarantee its accuracy, directly accelerating our customer support engineering velocity. Your Impact Support & Customer Advocacy: Champion the Support Journey in Engineering. Develop in-product support instructions that reflect and address real incoming cases, enhancing the quality and effectiveness of AI feature solutions. Model Quality Validation: Use existing evaluation platforms and methodologies to validate production models. Monitor quality metrics to continuously assess and rank AI answers for accuracy and reliability. Prompt Engineering & CT Loop: Drive the Continuous Training loop through systematic prompt engineering (refining and versioning inputs). Analyze failures to define R&D actions or features needed to close model performance gaps. AI Knowledge Governance: Act as AI Content Governor, implementing controls to verify and ingest compliant knowledge base content, ensuring a quality data source. Cross-Functional SME: Serve as the AI Support Co-pilot Subject Matter Expert, partnering with R&D and Support Enablement to translate quality issues into core model logic improvements and feature development. Qualifications Your Experience Minimum of 5+ years of professional experience in a blend of technical and analytical roles (e.g., Automated QA, Support Enablement, Data Analysis,AI Research. Prompt Engineering, MLOps), with a proven track record operating at the critical intersection of customer operations, data management, and AI/ML system AI/ML/LLM Foundation: Possesses a high-level understanding of AI tools, LLMs, machine learning, and applicative AI principles. Python Proficiency: Proficient in Python for practical applications, including scripting, data processing, and building automation solutions. Customer Domain Mastery: Demonstrated experience in customer-facing roles with a strong operational understanding of the Customer Support domain (workflows, knowledge base management, optimization). Technical Communication: Strong skills in translating observed model performance issues and Agentic Action requirements into clear, prioritized technical requirements for R&D teams. Ownership: A dedicated individual who takes full responsibility for their work, driving projects to successful completion. Data/Content Governance: Experience with data validation, content management, and implementing data governance standards, especially for knowledge bases feeding AI systems. Advantage Prompt Engineering: Proven expertise in systematically authoring, testing, and refining instructional inputs to drive specific model behavior. QA Skills: Experience with Quality Assurance methodologies and testing AI-driven features. Cybersecurity knowledge Additional Information The Team Our engineering team is at the core of our products and connected directly to the mission of preventing cyberattacks. We are constantly innovating — challenging the way we, and the industry, think about cybersecurity. Our engineers don’t shy away from building products to solve problems no one has pursued before. We define the industry instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment. #LI-HS4 Our Commitment We’re problem solvers that 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 [email protected]. 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.

Responsibilities

The AI Analyst will be responsible for the end-to-end quality, performance, and operational tuning of the Generative AI-driven support system. This includes championing the support journey, validating model quality, and driving continuous training through prompt engineering.