Director SW Engineering (ML Engineering and Platform) Job at Palo Alto Networks (Santa Clara)

Job Description

The Prisma AIRS team is building the future of AI security. With organizations building complex ecosystems of AI models, applications, and agents, a dynamic new attack surface is emerging. Prisma AIRS delivers a comprehensive platform for AI security, encompassing model security, posture management, AI red teaming, and runtime protection. As the Director of Engineering responsible for ML engineering and platform, you will be a key leader in the organization, setting the technical vision and strategy for a significant area of development within Prisma AIRS. You will be responsible for driving the development of this industry-defining platform, scaling our engineering teams, and collaborating with senior leadership to ensure our technology strategy aligns with the broader business objectives.

Job Responsibility

Define and execute the technical strategy and roadmap for your area of ownership within the Prisma AIRS engineering organization, managing multiple teams and engineering managers
Build and lead a high-performing engineering organization. Excel at recruiting, mentoring, and retaining top-tier engineering talent and managers
Drive the architectural direction for a complex, highly scalable, cloud-native AI security platform within your domain. Make critical high-judgment decisions on technology, architecture, and long-term design
Partner seamlessly with senior leaders across Product Management, AI Research, UX, and other engineering leaders to deliver on a cohesive product roadmap
Clearly articulate technical vision, strategy, project status, and risks to senior stakeholders and executive leadership
Foster a results-oriented culture of innovation, execution, collaboration, and engineering excellence, empowering teams to solve challenging problems

Requirements

BS/MS in Computer Science, Engineering, or a related technical field
12+ years of professional software development experience, with a proven track record of building and shipping high-quality, large-scale, enterprise-grade cloud delivered services
Extensive professional experience with a deep focus on MLOps, ML systems, or productionizing machine learning models at scale
MLOps pipelines
Model governance/lifecycle
AI observability stack, Big Data infra (Kafka/Spark)
GenAI/LLM platform
IaC/GitOps
AI safety/governance
6+ years of formal engineering management experience, with experience leading multiple teams (managing managers is a plus)
Exceptional technical judgment with deep, hands-on experience in designing, building, and operating highly scalable cloud-native services with recent experience delivery AI/ML capabilities or building AI/ML platforms in production
Demonstrated ability to translate complex business needs into a clear, actionable technical strategy and roadmap
Excellent written and verbal communication skills, with a strong executive presence and the ability to champion ideas and initiatives across the organization

Nice to have

Proven track record of managing geographically distributed teams
Experience presenting at industry conferences or engaging with executive-level customers
Deep experience in the cybersecurity domain (e.g., threat detection, network security, cloud security, application security)
Direct experience with AI/ML platforms, MLOps, or building security solutions for AI systems

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Director SW Engineering (ML Engineering and Platform)

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