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 models 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 AnalysisAI 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 dont 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
Were problem solvers that take risks and challenge cybersecuritys status quo. Its simple: we cant 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 .
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.
Remote Work :
No
Employment Type :
Full-time
Your CareerAre 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 applicationsJoin our R...
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 models 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 AnalysisAI 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 dont 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
Were problem solvers that take risks and challenge cybersecuritys status quo. Its simple: we cant 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 .
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.
Remote Work :
No
Employment Type :
Full-time
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