Principal AI Software Engineer

Our Mission At Palo Alto Networks®, we’re united by a shared mission—to 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 you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re 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. 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 Summary As a Technical Leader developing AI applications in the GTM/CX domain, you will define the architectural blueprint for scalable AI/ML and agentic systems that transform our sales and customer experience motion. Demonstrated experience in understanding Sales Domain, Customer Support, and services business processes and operations workflows. Establish standards for safety, guardrails, reliability, observability and performance across all AI/ML/Agentic components. Lead design and implementation of ML/LLM/GenAI-powered agents capable of planning, multi-step execution, self-correction, and collaboration with humans or other agents. Drive end-to-end solution development from prototype to production, ensuring scalability, reliability, safety, observability, and performance. Build, fine-tune, or adapt LLMs, multimodal models, and specialized agent models. Build, evaluate, and integrate traditional AI/ML/Statistical models into agentic workflows. Develop advanced reasoning pipelines, retrieval systems, and knowledge graphs integrations that support autonomous task execution. Ensure production readiness through robust testing, evaluation frameworks, and real- world performance validation. Partner with data engineering to design high-quality datasets and synthetic data pipelines and feedback loops for continual learning. Mentor and guide data scientists and engineers, elevate data science and engineering practices across the organization. Communicate complex technical decisions and trade-offs to executives and cross- functional stakeholders. Qualifications Masters/PhD in Computer Science, AI, Data Science or related field. 15 years in data science, software engineering, data engineering, ML or Applied AI experience, including architecting large-scale distributed systems. Proven experience designing and deploying production ML, LLM-powered applications, including agentic systems. Deep expertise in developing conversational agents and advanced intelligent multi-agent automation systems Demonstrated experience with orchestration frameworks like LangChain, LangGraph etc. Up-to-date with LLM evolution like GPT, Anthropic, Llama models etc. Demonstrated ability to lead high-ambiguity cross-team technical initiatives. Hands-on experience in building supervised, unsupervised, and semi-supervised models/solutions. Strong proficiency in SQL to analyse structured relational databases. Strong proficiency in at least one core language (Python, Go, Java, or equivalent). Strong knowledge of distributed systems, microservice architecture, and cloud platforms (AWS/Azure/GCP). Preferred: Excellent communication skills and the ability to influence at all levels Compensation Disclosure The compensation offered for this po ... (truncated, view full listing at source)