Palo Alto Networks H-1B Visa Sponsorship Jobs USA
Palo Alto Networks is a consistent H-1B visa sponsor, particularly for engineering, cybersecurity, and product roles requiring specialized technical expertise. The company has an established sponsorship process and is recognized in the industry as a reliable option for international candidates pursuing H-1B status in the technology sector.
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Get Access To All JobsINTRODUCTION
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
Our Customer Support Tools team in IT at Palo Alto Networks is at the core of our business and is a true differentiator. We enable our employees and business to be successful, and our focus is on the next-generation of IT—cloud, mobile, and social. We are a team of disruptors, challenging the status quo and looking for new and better ways to solve problems. We are a team of doers, getting things done and driving change from the ground up. We are a team of partners, collaborating with the business to help them achieve their goals. We are a team that is passionate about our work and our mission. We are looking for like-minded individuals to join our team and help us continue to make a difference.
We are seeking a dynamic Staff AI Software Engineer to lead the design and delivery of our next-generation scalable services. Leveraging Python, Django, FastAPI, React, and GraphQL within Google Cloud Platform, you will evolve our core architecture and drive our transition into AI-native engineering. As a technical leader, you will ensure our systems—including traditional microservices and emerging agentic workflows—are resilient, scalable, and innovative.
Key Responsibilities
- Drive the strategic architectural vision and deployment of high-quality, scalable software assets using Python and React, ensuring long-term alignment with enterprise architecture.
- Architect and govern advanced agentic systems using the Vertex AI Agent SDK (or alternative frameworks like LangChain / LangGraph) and A2A protocols to enable seamless interoperability between autonomous enterprise services.
- Establish enterprise-wide AI Evaluation (Evals) frameworks and automated benchmarking pipelines to rigorously measure, monitor, and optimize LLM/agent performance across metrics like accuracy, safety, latency, and cost.
- Define the organizational strategy and architecture for data retrieval pipelines, ensuring scalable and optimized utilization of vector embeddings, semantic search, and similarity-based retrieval patterns.
- Establish enterprise-wide prompt engineering standards and LLM security frameworks, safeguarding applications against vulnerabilities such as prompt injection through robust input/output validation models.
- Standardize and scale Model Context Protocol (MCP) servers to effectively bridge core enterprise IT data with LLM-driven applications across business units.
- Partner closely with technical executives, product management, and cross-functional engineering teams to align AI initiatives with overarching business objectives and drive high-impact results.
- Mentor and cultivate technical leaders and engineers across the organization, fostering a culture of excellence, applied learning, and accountability in full-stack and AI domains.
- Take ultimate accountability for cross-team project outcomes, ensuring AI and software solutions meet rigorous enterprise-grade standards for security, quality, and performance.
QUALIFICATIONS
- Minimum of 9 years of related experience with a Bachelor's degree in Computer Science or a related field, or equivalent military experience.
- 9+ years of professional experience in backend development with Python, utilizing frameworks like Django or FastAPI to design and build fault-tolerant microservice architectures.
- Proven track record of architecting, deploying, and scaling production-grade Generative AI and LLM-powered applications.
- Hands-on experience with LLM orchestration and agentic frameworks (e.g., LangChain, LangGraph, or native cloud Agent SDKs).
- Deep technical expertise in RAG architectures, including vector embeddings, semantic search, and working with vector databases.
- Demonstrated experience implementing LLM guardrails, prompt injection defenses, and robust AI evaluation (Evals) workflows.
- Demonstrated expertise in frontend development with JavaScript, TypeScript, and React.
- Expert-level proficiency in containerization and orchestration using Docker and Kubernetes (GKE).
- Proven track record of architecting and delivering enterprise-grade software solutions from concept to production at scale.
PREFERRED QUALIFICATIONS
- Deep, hands-on experience with Google Cloud Platform, particularly Google Vertex AI.
- Production-level knowledge of Agent SDK, LangChain, or LangGraph frameworks, as well as A2A protocols and the implementation of MCP servers.
- Experience integrating and scaling Agentic IDEs (e.g., Cursor, Windsurf) within professional development workflows.
- Master's degree or PhD in Computer Science or a related field.
COMPENSATION DISCLOSURE
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
$145,000.00 - $235,500.00/yr
OUR COMMITMENT
We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t 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 accommodations@paloaltonetworks.com.
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?: Yes
LOCATION
Santa Clara, California, United States
IT Ref ID: JR-017690
INTRODUCTION
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
Our Customer Support Tools team in IT at Palo Alto Networks is at the core of our business and is a true differentiator. We enable our employees and business to be successful, and our focus is on the next-generation of IT—cloud, mobile, and social. We are a team of disruptors, challenging the status quo and looking for new and better ways to solve problems. We are a team of doers, getting things done and driving change from the ground up. We are a team of partners, collaborating with the business to help them achieve their goals. We are a team that is passionate about our work and our mission. We are looking for like-minded individuals to join our team and help us continue to make a difference.
We are seeking a dynamic Staff AI Software Engineer to lead the design and delivery of our next-generation scalable services. Leveraging Python, Django, FastAPI, React, and GraphQL within Google Cloud Platform, you will evolve our core architecture and drive our transition into AI-native engineering. As a technical leader, you will ensure our systems—including traditional microservices and emerging agentic workflows—are resilient, scalable, and innovative.
Key Responsibilities
- Drive the strategic architectural vision and deployment of high-quality, scalable software assets using Python and React, ensuring long-term alignment with enterprise architecture.
- Architect and govern advanced agentic systems using the Vertex AI Agent SDK (or alternative frameworks like LangChain / LangGraph) and A2A protocols to enable seamless interoperability between autonomous enterprise services.
- Establish enterprise-wide AI Evaluation (Evals) frameworks and automated benchmarking pipelines to rigorously measure, monitor, and optimize LLM/agent performance across metrics like accuracy, safety, latency, and cost.
- Define the organizational strategy and architecture for data retrieval pipelines, ensuring scalable and optimized utilization of vector embeddings, semantic search, and similarity-based retrieval patterns.
- Establish enterprise-wide prompt engineering standards and LLM security frameworks, safeguarding applications against vulnerabilities such as prompt injection through robust input/output validation models.
- Standardize and scale Model Context Protocol (MCP) servers to effectively bridge core enterprise IT data with LLM-driven applications across business units.
- Partner closely with technical executives, product management, and cross-functional engineering teams to align AI initiatives with overarching business objectives and drive high-impact results.
- Mentor and cultivate technical leaders and engineers across the organization, fostering a culture of excellence, applied learning, and accountability in full-stack and AI domains.
- Take ultimate accountability for cross-team project outcomes, ensuring AI and software solutions meet rigorous enterprise-grade standards for security, quality, and performance.
QUALIFICATIONS
- Minimum of 9 years of related experience with a Bachelor's degree in Computer Science or a related field, or equivalent military experience.
- 9+ years of professional experience in backend development with Python, utilizing frameworks like Django or FastAPI to design and build fault-tolerant microservice architectures.
- Proven track record of architecting, deploying, and scaling production-grade Generative AI and LLM-powered applications.
- Hands-on experience with LLM orchestration and agentic frameworks (e.g., LangChain, LangGraph, or native cloud Agent SDKs).
- Deep technical expertise in RAG architectures, including vector embeddings, semantic search, and working with vector databases.
- Demonstrated experience implementing LLM guardrails, prompt injection defenses, and robust AI evaluation (Evals) workflows.
- Demonstrated expertise in frontend development with JavaScript, TypeScript, and React.
- Expert-level proficiency in containerization and orchestration using Docker and Kubernetes (GKE).
- Proven track record of architecting and delivering enterprise-grade software solutions from concept to production at scale.
PREFERRED QUALIFICATIONS
- Deep, hands-on experience with Google Cloud Platform, particularly Google Vertex AI.
- Production-level knowledge of Agent SDK, LangChain, or LangGraph frameworks, as well as A2A protocols and the implementation of MCP servers.
- Experience integrating and scaling Agentic IDEs (e.g., Cursor, Windsurf) within professional development workflows.
- Master's degree or PhD in Computer Science or a related field.
COMPENSATION DISCLOSURE
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
$145,000.00 - $235,500.00/yr
OUR COMMITMENT
We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t 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 accommodations@paloaltonetworks.com.
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?: Yes
LOCATION
Santa Clara, California, United States
IT Ref ID: JR-017690
Job Roles at Palo Alto Networks
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Get Access To All JobsTips for Finding Palo Alto Networks H-1B Jobs
Target roles that match H-1B specialty occupation criteria
Palo Alto Networks sponsors H-1B visas primarily for roles requiring a specific bachelor's degree or higher. Focus on software engineering, cloud security, data science, and product management positions where your degree directly aligns with the job requirements.
Apply well before the H-1B lottery registration window
H-1B registration opens each March for an October 1 start date. Securing an offer at Palo Alto Networks by January or February gives HR and immigration counsel enough time to prepare your petition before the registration deadline.
Be upfront about your visa status during the interview process
Palo Alto Networks has an established immigration program, so disclosing your H-1B need early avoids surprises. Recruiters in the technology sector are accustomed to sponsorship conversations and can route you to the right hiring tracks.
Use verified sponsorship data when searching for open roles
Not every job posting clarifies sponsorship eligibility. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history, helping you confirm Palo Alto Networks roles are genuinely open to H-1B candidates before you apply.
Understand the difference between new H-1B petitions and transfers
If you're already on H-1B status with another employer, Palo Alto Networks can file an H-1B transfer, which isn't subject to the lottery. Highlight your current H-1B status early so the recruiting team knows your timeline is more flexible.
Leverage Palo Alto Networks's cybersecurity specialization in your application
The company operates at the intersection of cloud, AI, and network security. Candidates with credentials or experience in these areas are particularly competitive for H-1B-sponsored roles, so frame your background around the company's core technical focus.
Palo Alto Networks H-1B Visa Sponsorship: Frequently Asked Questions
Does Palo Alto Networks sponsor H-1B visas?
Yes, Palo Alto Networks sponsors H-1B visas for qualifying roles. The company has an active immigration program and regularly works with outside immigration counsel to file H-1B petitions. Sponsorship is most common for technical and specialized positions in engineering, security research, and product development, where candidates hold relevant degrees.
Which roles and departments at Palo Alto Networks typically receive H-1B sponsorship?
H-1B sponsorship at Palo Alto Networks is concentrated in software engineering, cloud infrastructure, cybersecurity research, data science, and technical product management. These roles meet the H-1B specialty occupation standard because they require a degree in a specific field directly related to the job. Business and sales roles are sponsored less frequently.
How do I navigate the H-1B application process at Palo Alto Networks?
Once you receive and accept an offer, Palo Alto Networks's HR team connects you with their immigration counsel to begin the H-1B process. For cap-subject petitions, the employer registers you in the USCIS lottery each March. If selected, the full petition is filed by the June 30 deadline. Existing H-1B holders can transfer without going through the lottery.
How do I find open H-1B jobs at Palo Alto Networks?
Start by filtering for roles in engineering and security on Palo Alto Networks's careers page. For job seekers who want to confirm sponsorship eligibility before applying, Migrate Mate tracks verified H-1B sponsors and lets you search Palo Alto Networks roles alongside their actual sponsorship history, saving time in your job search.
What timeline should I expect for H-1B sponsorship at Palo Alto Networks?
For a new H-1B cap-subject petition, expect a timeline of six to twelve months from registration to your October 1 employment start date. Premium processing can shorten USCIS adjudication to around fifteen business days after filing, but lottery registration still happens in March. Internal transfers from another employer on H-1B status typically move faster, often within two to three months.
What is the prevailing wage for H-1B jobs at Palo Alto Networks?
H-1B employers must pay at least the prevailing wage, which is determined when they file the Labor Condition Application with the Department of Labor. The rate is based on the role, location, and experience level, and ensures international hires are paid comparably to U.S. workers in the same position. You can look up prevailing wage rates for any occupation and location using the DOL's OFLC Wage Search tool.