Sr. Forward Deployed Engineer (Customer Engineering, Prisma AIRS)

Qualifications

• Required Qualifications
• Education & Experience: Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field (or equivalent practical experience), or 7+ years of professional software engineering experience writing production-grade code.
• Core Software & API Development: Expertise in Python (preferred), Go, TypeScript, or C++, with deep experience developing, debugging, and integrating enterprise APIs (REST, gRPC, WebSockets) and API gateways (e.g., Envoy, Kong).
• AI & LLM Architecture: Hands-on experience with LLM orchestration, prompt security, token optimization, model routing, and vector databases / RAG architectures.
• Infrastructure & Cloud Native: Proficiency with containerization, orchestration, and infrastructure-as-code (Kubernetes, Docker, Terraform) across major cloud platforms (AWS, GCP, or Azure).
• Security & Networking: Solid understanding of enterprise security protocols including OIDC/OAuth2, zero-trust networking, and secure API integration.
• Testing & Quality Assurance: Experience using testing frameworks (e.g., PyTest, unittest) and robust evaluation workflows for distributed systems.
• Customer & Strategic Impact: Proven ability to interface directly with executive leadership (CIOs/CISOs) and IT decision-makers—whiteboarding enterprise architectures, translating complex customer needs, and directly influencing product roadmaps.
• Engineering Mindset: A hands-on "0-to-1" builder mentality who thrives in ambiguous environments, owns problems end-to-end, and enjoys pair-programming or digging into raw code and traces to solve live outages.
• Preferred Qualifications
• AI Evaluation & Frameworks: Familiarity with LLM evaluation frameworks (e.g., LangChain, LlamaIndex, OpenAI Evals) and model performance/benchmarking metrics.
• AI Safety & Adversarial Testing: Practical knowledge of AI security guardrails, bias detection, prompt injection defense, and adversarial testing practices.
• Observability & Monitoring: Hands-on experience with enterprise observability, tracing, and log-monitoring systems (e.g., Datadog, OpenTelemetry, Prometheus).
• Simulation & Synthetic Data: Exposure to synthetic data generation, automated data pipelines, and test simulation environments.
• 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.
• 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 [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.