
Staff/Sr. Staff AI Engineer - Enterprise AI Solutions
Palo Alto Networks6 days ago
USA (city not specified)Staff+
Base Salary
$163k - $264k/yr
Responsibilities
- Lead the design and implementation of AI solutions, including model selection, data requirements, system integration, and production deployment.
- Develop core components of the enterprise AI/ML platform and support traditional and generative AI model deployment and real-time inference.
- Design and optimize large-scale AI/ML systems for scalability, reliability, low latency, high throughput, and developer usability.
- Evaluate and integrate AI tools, frameworks, and cloud solutions, and lead proofs of concept for emerging innovations.
- Champion AI architecture and engineering best practices, lead design discussions, conduct code reviews, and mentor engineers.
- Collaborate with Data Scientists, ML Engineers, Product Managers, and IT stakeholders on production-grade solutions.
- Implement responsible AI, security policies, automated testing, and monitoring for AI systems.
- Apply current AI/ML, generative AI, and LLM techniques to improve enterprise solutions.
Requirements
- 8+ years of software engineering experience, including 5+ years of data science, AI, or ML experience.
- Experience deploying enterprise AI/ML systems and understanding the AI lifecycle.
- Experience with distributed systems and streaming data.
- Hands-on experience with generative AI and LLMs.
- Proficiency with AI/ML frameworks and cloud platforms.
- Strong programming skills in Python and C++.
- Bachelor’s or master’s degree in Computer Science or a related field.
- Preferred qualifications include a PhD in Computer Science, Applied Mathematics, Machine Learning, or a related computational field; open-source AI project experience; prior technical leadership of AI/ML projects; and familiarity with cybersecurity principles for AI.
- Knowledge of machine learning theory and application, deep learning, statistical modeling, TensorFlow, PyTorch, scikit-learn, MLOps, and data engineering principles.
- Evidence of research, publication, or delivery of innovative AI solutions with significant business impact.
- Experience leading projects, mentoring team members, influencing technical direction, and communicating complex concepts to technical and non-technical audiences.
Benefits
- Most teams work from the office full time, with flexibility when needed.
- The compensation package may include restricted stock units and a bonus in addition to base salary.
- Employee benefits are available through the company benefits program.
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About Palo Alto Networks
Palo Alto Networks builds cybersecurity products for enterprises and governments, including next-generation firewalls, cloud security (Prisma Cloud/Prisma Access), and SOC tools (Cortex). It sells subscriptions and appliances with cloud-delivered threat intelligence, securing networks, endpoints, and applications across data centers and public clouds. Founded in 2005 and headquartered in Santa Clara, California, the company is publicly traded on the NYSE under the ticker PANW.