Sr Principal AI Engineer (IT Go-To-Market & Customer Experience) at Palo Alto Networks

Santa Clara, California, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Mar, 26

Salary

306500.0

Posted On

17 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Architecture, Generative AI, Large Language Models, API Design, Observability, Cost Optimization, Business Workflow Automation, Security, Governance, Agile, Scrum, Python, Java, Node.js, Multi-Agent Systems, Testing

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 You will join a dynamic and fast-paced team of seasoned fellow engineers designing and developing multi-tiered applications in a rapidly growing company. As a Sr Principal AI Engineer, you will leverage your extensive experience to act as the trailblazer, helping us build and innovate enterprise-grade full-stack systems with a specific focus on Generative AI transformation. We are looking for a highly hands-on, extremely technical leader to architect the next generation of our internal and external business applications. You will move beyond traditional software engineering to design intelligent, agentic workflows that revolutionize our Go-To-Market (GTM) processes. Your Impact AI Architecture & Strategy Architect a Proxy-First AI Ecosystem: Lead the design and implementation of an "AI Gateway" intermediary layer to ensure vendor independence, allowing seamless switching between LLMs (e.g., GPT-4, Llama, Anthropic) without refactoring core application code. Unified API Design: Build a single, unified API endpoint that abstracts the complexities of individual LLM providers, providing centralized control for access and security. LLM Observability Deep System Visibility: Implement comprehensive observability pipelines specifically for GenAI to track trace-level data, prompt inputs/outputs, and model latency. Cost & Performance Optimization: Create architecture that optimize performance and expense by routing simpler queries to cost-effective models. Feedback Loops: Integrate observability data into the development cycle to identify bottlenecks, high-latency chains, and model drift in real-time. GenAI & Multi-Agent Development Agentic AI Leadership: Institute and promote innovative thinking by incorporating agentic AI, designing sophisticated Multi-Agent Systems and Agent-to-Agent (A2A) workflows. Business Workflow Automation: Apply GenAI to complex Go-To-Market (GTM) business logic, automating workflows such as customer support processes and entitlement platforms. Evaluation Frameworks: Pioneer "LLM as a Judge" testing methodologies to automate quality assurance, using capable models to evaluate the correctness, tone, and helpfulness of system outputs. Security & Governance (Guardrails) AI Safety Implementation: Build robust guardrails to filter inputs and outputs, ensuring the prevention of PII exposure, offensive content, and prompt injection attacks. Adversarial Defense: Develop detection mechanisms including keyword filtering, behavioral analysis, and adversarial training to protect model instructions from manipulation. Qualifications Your Experience 15+ years of overall IT system architecture, design, development, and deployment experience. Hands-On Technical Leadership: Proven track record leading technical teams in Agile/Scrum environments for large-scale implementations with aggressive timeline. Business Process: Experience partnering with business stakeholders to design workflows for Go-To-Market (GTM), sales, or support operations. Education: Bachelor’s degree or equivalent in Computer Science or a related field. Communication: Strong verbal and written communication skills with the ability to explain complex AI concepts to senior leadership. AI & Technical Expertise GenAI Stack: Extensive knowledge in building modern applications using Large Language Models (LLMs) such as Llama 3, GPT-4, and Anthropic. LLM Observability: Deep experience building and maintaining highly observable systems. Proficiency with AI tracing and evaluation tools (e.g., LangSmith, Arize, HoneyHive, or custom OpenTelemetry implementations) to monitor hallucinations, latency, and token economics. Agentic Frameworks: Deep experience with Multi-Agent systems, Agent-to-Agent (A2A) communication, and orchestration frameworks. Testing & Validation: Experience establishing "Golden Datasets" for ground truth testing and performing comparative analysis across different models. Programming: Expert-level proficiency in Python; familiarity with Java or Node.js for enterprise integration is a plus. Additional Information The Team Working at a high-tech cybersecurity company within Information Technology is a once-in-a-lifetime opportunity. You’ll join the brightest minds in technology, creating, building, and supporting tools and enabling our global teams on the front line of defense against cyberattacks. Join a dynamic and fast-paced team of people who feel excited by the prospect of a challenge and feel a thrill at resolving technical gaps that inhibit productivity. 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 between $223000 - $306500. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. 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. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

Responsibilities

As a Sr Principal AI Engineer, you will lead the design and implementation of an AI Gateway and architect enterprise-grade full-stack systems. You will also focus on automating workflows and ensuring security and governance in AI applications.