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Director SW Engineering (ML Engineering and Platform)

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Palo Alto Networks

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Location:
United States , Santa Clara

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Contract Type:
Not provided

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Salary:

232000.00 - 320750.00 USD / Year

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

Additional Information:

Job Posted:
April 16, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

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