Palo Alto Networks
Staff IT Software Engineer - Salesforce AI Solutions
Palo Alto Networks, Santa Clara, California, us, 95053
Job Description
Your Career
We are seeking a Staff IT Software Engineer with hands-on experience with AI/ML technologies to join our Salesforce engineering team. Unlike traditional Salesforce roles focused solely on declarative or Apex development, this role is designed for an innovator and disruptive thinker who can challenge the status quo.
In this role, you will leverage modern AI/ML models, generative AI, and automation frameworks to reimagine how problemstraditionally solved within Salesforce with manual interventionscan instead be addressed through AI-led, intelligent, and scalable solutions. You will partner closely with Salesforce experts, IT engineers, and business stakeholders to design and deliver next-generation applications that reduce manual effort, improve data-driven decision making, and create delightful user experiences.
This position is ideal for an engineer who thrives at the intersection of enterprise platforms, AI/ML innovation, and full-stack problem solving.
Your Impact
AI-Led Problem Solving:
Reimagine traditional Salesforce workflows (approvals, case routing, data enrichment, forecasting, etc.) by applying AI/ML models and intelligent automation. Full-Stack Development:
Build scalable, enterprise-grade applications across frontend, backend, and data layers, integrating seamlessly with Salesforce and other GTM systems. Disruptive Thinking:
Identify unconventional approaches to long-standing process bottlenecks; design solutions that simplify, modernize, and delight. **Integration & Extensibility: **Architect microservices and APIs that connect Salesforce with external data, AI pipelines, and cloud-native applications. AI/ML Implementation:
Experiment with and implement generative AI, NLP, and ML models to automate insights, recommendations, and user interactions. Collaboration:
Partner with Salesforce platform experts, architects, and business leaders to co-create hybrid solutions that combine platform strengths with modern AI capabilities. **Quality & Scalability: **Ensure solutions are robust, observable, secure, and optimized for enterprise-scale performance. Qualifications: Qualifications Your Experience Minimum
5+ years of engineering experience
with a strong foundation in enterprise platform development with Bachelors or Masters Degree in relevant field. Proven experience with
AI/ML technologies
(NLP, generative AI, predictive modeling, LLM integration, TensorFlow, PyTorch, Vertex AI, etc.). Strong expertise in
modern cloud-native application development
(GCP, AWS, or Azure),
microservices, APIs, and event-driven architectures. Proficiency in modern programming languages such as Python, Java, Node.js, or TypeScript, with hands-on experience in frontend frameworks (React, Angular, or Vue). Experience integrating enterprise platforms (Salesforce preferred but not required) with external applications and AI models. Strong understanding of data pipelines, observability, and monitoring frameworks for AI/ML-enabled systems. Ability to think outside-in: challenge conventional Salesforce problem-solving methods and propose AI-first alternatives. Strong problem-solving skills, with an innovative mindset and the ability to deliver solutions that are both pragmatic and forward-looking. Experience working in agile teams with rapid iteration and strong business collaboration. Additional Information The Team Working at a high-tech cybersecurity company in Information Technology is a once-in-a-lifetime opportunity. Youll join the brightest minds in technology, creating, building, and supporting tools and enabling our global teams on the front line of defense against cyberattacks. Were connected by one mission but driven by the impact of that mission and what it means to protect our way of life in the digital age. Join a dynamic and fast-paced team of people who feel excited by the prospect of a challenge and feel a thrill at resolving technical gaps that inhibit productivity. Our Commitment Were problem solvers that take risks and challenge cybersecuritys status quo. Its simple: we cant 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. 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 between $124000 - $201500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. Our Commitment Were problem solvers that take risks and challenge cybersecuritys status quo. Its simple: we cant 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 #J-18808-Ljbffr
Reimagine traditional Salesforce workflows (approvals, case routing, data enrichment, forecasting, etc.) by applying AI/ML models and intelligent automation. Full-Stack Development:
Build scalable, enterprise-grade applications across frontend, backend, and data layers, integrating seamlessly with Salesforce and other GTM systems. Disruptive Thinking:
Identify unconventional approaches to long-standing process bottlenecks; design solutions that simplify, modernize, and delight. **Integration & Extensibility: **Architect microservices and APIs that connect Salesforce with external data, AI pipelines, and cloud-native applications. AI/ML Implementation:
Experiment with and implement generative AI, NLP, and ML models to automate insights, recommendations, and user interactions. Collaboration:
Partner with Salesforce platform experts, architects, and business leaders to co-create hybrid solutions that combine platform strengths with modern AI capabilities. **Quality & Scalability: **Ensure solutions are robust, observable, secure, and optimized for enterprise-scale performance. Qualifications: Qualifications Your Experience Minimum
5+ years of engineering experience
with a strong foundation in enterprise platform development with Bachelors or Masters Degree in relevant field. Proven experience with
AI/ML technologies
(NLP, generative AI, predictive modeling, LLM integration, TensorFlow, PyTorch, Vertex AI, etc.). Strong expertise in
modern cloud-native application development
(GCP, AWS, or Azure),
microservices, APIs, and event-driven architectures. Proficiency in modern programming languages such as Python, Java, Node.js, or TypeScript, with hands-on experience in frontend frameworks (React, Angular, or Vue). Experience integrating enterprise platforms (Salesforce preferred but not required) with external applications and AI models. Strong understanding of data pipelines, observability, and monitoring frameworks for AI/ML-enabled systems. Ability to think outside-in: challenge conventional Salesforce problem-solving methods and propose AI-first alternatives. Strong problem-solving skills, with an innovative mindset and the ability to deliver solutions that are both pragmatic and forward-looking. Experience working in agile teams with rapid iteration and strong business collaboration. Additional Information The Team Working at a high-tech cybersecurity company in Information Technology is a once-in-a-lifetime opportunity. Youll join the brightest minds in technology, creating, building, and supporting tools and enabling our global teams on the front line of defense against cyberattacks. Were connected by one mission but driven by the impact of that mission and what it means to protect our way of life in the digital age. Join a dynamic and fast-paced team of people who feel excited by the prospect of a challenge and feel a thrill at resolving technical gaps that inhibit productivity. Our Commitment Were problem solvers that take risks and challenge cybersecuritys status quo. Its simple: we cant 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. 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 between $124000 - $201500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. Our Commitment Were problem solvers that take risks and challenge cybersecuritys status quo. Its simple: we cant 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 #J-18808-Ljbffr