\\\\Our Mission\\\\ At Palo Alto Networks®, were united by a shared missionto protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If youre ready to do the most meaningful work of your career alongside people who are just as passionate as you are, youre in the right place. \\\\Who We Are\\\\ In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! We believe collaboration thrives in person. Thats why most of our teams work from the office full time, with flexibility when its needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. \\\\Job Summary\\\\ \\\\Job Summary\\\\ The Unit42 Managed Services Group is seeking a Senior AI Engineer to architect the next generation of intelligent security operations by developing advanced AI-driven systems that navigate complex investigation lifecycles with unprecedented scale and precision. In this high-autonomy role, you will leverage high-fidelity telemetry and historical datasets to build models that move beyond basic alerting toward sophisticated, automated reasoning. You will be at the forefront of a paradigm shift in cybersecurity, applying state-of-the-art machine learning to some of the most critical data challenges in the industry. \\\\Key Responsibilities\\\\ \\+ Design and implement autonomous agents using frameworks like LangGraph, CrewAI, or AutoGen to automate complex SOC investigation playbooks. \\+ Build and optimize RAG (Retrieval-Augmented Generation) systems and Vector Databases to provide agents with real-time historical context. \\+ Transition agents from instruction-following to self-learning through LLM Fine-tuning (LoRA/QLoRA) and RLHF based on analyst decisions. \\+ Fine-tune models to understand unstructured telemetry, EDR logs, and network traffic, translating noisy data into actionable security narratives. \\+ Collaborate with SOC teams to codify human intuition into agentic reasoning and robust production deployments. \\+ Develop evaluation loops to rigorously measure agent accuracy and eliminate hallucinations in high-stakes environments. \\\\Qualifications\\\\ \\\\Required Qualifications\\\\ \\+ Bachelor's degree with 5 years of experience, or Master's degree with 3 years of experience in a relevant field. \\+ Deep focus and hands-on experience with LLMs, Prompt Engineering, and Agentic Frameworks. \\+ Proficiency in Python and experience handling high-volume data streams (e.g., Spark, Kafka, or Snowflake). \\+ Proven experience building and deploying production-grade AI applications and distributed systems. \\+ Exceptional ability to work cross-functionally with product, architecture, and security research teams. \\\\Preferred Qualifications\\\\ \\+ Experience with multi-agent systems (e.g., 'Researcher' vs. 'Decision' agent architectures). \\+ Background in traditional Software Engineering (DevOps/CI/CD for ML). \\+ Published research or personal projects in 'AI for Cybersecurity'. \\+ Experience building enterprise SaaS platforms. \\+ Familiarity with the MITRE ATT&CK framework, SIEM/EDR logs, and common attack vectors. \\\\Our Commitment\\\\ Were trailblazers that dream big, 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. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

A Bachelor's degree with 5 years of experience or a Master's degree with 3 years of experience in a relevant field is required. The role demands deep, hands-on experience with LLMs, Prompt Engineering, and Agentic Frameworks. Proficiency in Python and experience handling high-volume data streams using tools like Spark, Kafka, or Snowflake are necessary. Candidates must have proven experience building and deploying production-grade AI applications and distributed systems. Exceptional ability to work cross-functionally with product, architecture, and security research teams is also essential.