Palo Alto Networks is looking to shape the next generation of AI-powered security and developer-productivity solutions by integrating state-of-the-art foundation models with their security platforms.
Requirements
- Proven expertise in: Large Language & Multimodal Models: fine-tuning, RAG, alignment, hallucination testing.
- Distributed systems & MLOps: containerized inference, model-versioning, feature stores.
- Programming: Python (required) plus one of Go, Java, Javascript.
- Cloud AI stacks (GCP Vertex, AWS SageMaker, Azure ML) and vector databases.
- Hands-on experience integrating AI into developer tooling (IDE plug-ins, CI/CD, observability dashboards).
- Deep understanding of cybersecurity concepts (attack vectors, threat intelligence, MITRE ATT&CK) and ability to translate them into AI features.
Responsibilities
- Drive end-to-end AI integrations with frontier models (Anthropic Claude 4, OpenAI GPT-4o, Google Gemini, open-source LLMs) across text, code, image, and multimodal domains
- Prototype and benchmark MCP and A2A protocols to enable dynamic orchestration of multiple agents and tools
- Lead context engineering & prompt design for RAG and agentic workflows; create evaluation harnesses to measure accuracy, latency, and cost
- Build proof-of-concepts that embed AI throughout the software-development life-cycle (SDLC)—planning, coding, code review, testing, and release—to quantify productivity gains
- Research and validate AI-driven cybersecurity use-cases (e.g., threat-hunting copilots, real-time anomaly triage) and partner with product groups to harden prototypes for production.
- Instrument metrics pipelines that track developer and security-analyst outcomes to demonstrate ROI of AI initiatives
- Craft executive-level narratives, demos, and visualizations that clearly communicate innovation roadmaps, technical trade-offs, and business impact
Other
- 10+ years in software/ML engineering, with 2+ years leading applied Generative AI or LLM initiatives at scale.
- B.S. or higher in CS, EE, Mathematics, or related field; M.S./Ph.D. preferred or equivalent military experience
- Strong communication skills; comfortable presenting to VP/C-suite audiences and external conferences.
- Mentor senior engineers and researchers; foster a culture of experimentation, responsible AI, and security-first thinking
