{"id":3229562,"url":"https://alion.io/job/palo-alto-networks-web-development-engineer","title":"Web Development Engineer","company":{"id":13263,"name":"Palo Alto Networks","domain":"paloaltonetworks.com","url":"https://alion.io/company/paloaltontwks","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":78,"open_postings":243,"ghost_share":0,"stale_share":0.893,"repost_share":0,"time_to_fill_p50_days":36,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":175400,"max":283800,"currency":"USD","period":"year","gross":null,"usd_annual":283800},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"JavaScript","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"Next.js","optional":false},{"name":"Node JS","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"Structured Outputs","optional":false},{"name":"TypeScript","optional":false},{"name":"Web Components","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Docker","optional":true},{"name":"ElasticSearch","optional":true},{"name":"FAISS","optional":true},{"name":"GCP","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"Machine Learning","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"Semantic Kernel","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-10-22T00:00:00Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-28T12:41:57Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Our Mission\nAt 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.\nWho We Are\nIn 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!\nWe 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\nWe are seeking an experienced Web Development Engineer to drive automation into our Digital Experience Marketing organization, with a primary focus on web development, web production, and digital experience optimization.\nBased in Santa Clara, this role will partner closely with web developers, digital marketers, UX/UI designers, content strategists, web producers, SEO specialists, and enterprise technology teams to design, develop, and deploy AI-powered solutions that improve website development efficiency, accelerate content production, enhance digital experiences, and optimize marketing performance.\nThe ideal candidate combines strong software engineering fundamentals with hands-on expertise in Generative AI, Large Language Models (LLMs), AI agents, retrieval-augmented generation (RAG), and automation frameworks. They will translate business challenges in digital marketing and web operations into scalable, secure, and production-ready AI solutions.\nThis role will help transform Digital Experience Marketing from predominantly manual, execution-heavy web operations toward a more intelligent, automated, and data-driven operating model. By embedding AI into web development, content operations,, and digital experience optimization, the AI Engineer will help improve delivery speed, operational scalability, digital quality, and the overall effectiveness of enterprise marketing experiences.\nAI-Powered Web Development\nDesign and implement AI-powered tools that accelerate front-end and back-end web development, component creation, code generation, refactoring, and documentation.\nIntegrate LLM-based coding assistants and agentic workflows into existing development environments and software development lifecycle (SDLC) processes.\nDevelop reusable AI capabilities for generating web components, page templates, design system implementations, and code aligned with enterprise standards.\nBuild AI-driven solutions to assist with code reviews, debugging, test generation, accessibility compliance, and performance optimization.\nCollaborate with engineering teams to integrate AI into modern web architectures, APIs, content management systems (CMS), and marketing technology platforms.\nEstablish guardrails to ensure AI-generated code meets standards for security, maintainability, scalability, and brand consistency.\nIntelligent Web Production and Content Operations\nBuild AI-driven automation solutions to streamline end-to-end web production, including page creation, content ingestion, metadata generation, asset management, localization, and publishing workflows.\nDevelop AI assistants that support web producers in creating, updating, validating, and maintaining website pages at scale.\nIntegrate AI capabilities with enterprise CMS and digital experience platforms to reduce repetitive manual tasks and accelerate time to publish.\nImplement automated validation for broken links, missing metadata, content inconsistencies, image alt text, page structure, and publishing readiness.\nUse Generative AI to assist with content transformation, content tagging, taxonomy mapping, structured content generation, and content reuse across digital channels.\nIntroduce human-in-the-loop review and approval workflows for AI-generated content and production changes.\nGenerative AI, LLMs, and AI Agent Development\nDesign, develop, and deploy AI applications using commercial and open-source LLMs.\nBuild RAG-based solutions that retrieve relevant information from approved enterprise knowledge bases, content repositories, brand guidelines, web documentation, and technical standards.\nDevelop AI agents and multi-step workflows to automate complex web development and digital production tasks.\nApply prompt engineering, context management, structured outputs, tool calling, and model evaluation techniques to improve the reliability of AI applications.\nIntegrate AI services through REST APIs, SDKs, and enterprise integration frameworks.\nEvaluate models and frameworks based on quality, latency, cost, security, and suitability for enterprise digital marketing use cases.\nDigital Experience Optimization and Marketing Intelligence\nDevelop AI-powered capabilities for website personalization, content recommendations, audience segmentation, and contextual digital experiences.\nLeverage website analytics, customer journey data, and campaign performance insights to identify opportunities for AI-driven optimization.\nSupport experimentation and conversion rate optimization through AI-assisted hypothesis generation, content variant creation, and analysis of A/B testing results.\nBuild intelligent solutions for SEO and content discoverability, including metadata recommendations, structured data validation, and content quality analysis.\nCollaborate with analytics and marketing technology teams to integrate AI insights into existing reporting, experimentation, and optimization workflows.\nApply responsible data practices and consent requirements when working with customer or behavioral data.\nEngineering Excellence and Production Readiness\nDesign scalable, maintainable, and observable AI applications and services suitable for enterprise deployment.\nImplement CI/CD integrations, automated testing, version control, deployment pipelines, and release management practices for AI-powered solutions.\nApply MLOps and LLMOps principles, including model evaluation, prompt versioning, monitoring, tracing, and lifecycle management.\nOptimize AI workloads for response time, throughput, reliability, and cost efficiency.\nDocument architectures, APIs, technical decisions, operational procedures, and reusable implementation patterns.\nPartner with platform engineering, cybersecurity, legal, privacy, and IT teams to ensure production readiness and responsible AI adoption.\nCross-Functional Collaboration and Innovation\nWork with Digital Experience Marketing leadership to identify high-value AI use cases across web development and web production operations.\nTranslate business requirements into technical solutions, prototypes, proof-of-concepts, and production implementations.\nPartner with UX, content, SEO, analytics, marketing operations, and web platform teams to ensure solutions address real operational needs.\nEstablish reusable AI capabilities, engineering standards, reference architectures, and best practices across digital experience teams.\nDocument architecture, reusable patterns, implementation guidelines, and best practices for AI adoption.\nStay current with emerging AI engineering techniques, agentic workflows, web automation tools, and digital experience technologies.\nChampion responsible AI practices, including human oversight, data privacy, security, explainability, and governance.\nQualifications\nBachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical discipline.\nApproximately 10+ years of experience in software engineering, application development, AI engineering, or related technical roles, with demonstrable hands-on AI application development experience.\nStrong proficiency in Python and experience building production-grade applications, services, and integrations.\nExperience working with LLMs, Generative AI APIs, prompt engineering, embeddings, vector search, and RAG architectures.\nStrong understanding of REST APIs, distributed systems, application architecture, data processing, and software engineering best practices.\nExperience with JavaScript or TypeScript and modern web technologies such as React, Next.js, Node.js, or comparable frameworks.\nFamiliarity with web development workflows, CMS platforms, content publishing operations, and digital experience ecosystems.\nExperience with Git, automated testing, CI/CD pipelines, containerization, and cloud-based application deployment.\nUnderstanding of application security, data privacy, responsible AI, and production software quality standards.\nStrong analytical, problem-solving, communication, and cross-functional collaboration skills.\nPreferred Qualifications\nExperience with enterprise CMS and digital experience platforms such as Adobe Experience Manager (AEM), Sitecore, Contentful, or comparable solutions.\nExperience with marketing technology platforms, digital analytics, personalization, experimentation, and customer journey optimization.\nFamiliarity with agentic AI frameworks and orchestration tools such as LangGraph, LangChain, Semantic Kernel, or equivalent technologies.\nExperience with vector databases and retrieval technologies such as Weaviate, FAISS, Elasticsearch, or cloud-native alternatives.\nExperience with cloud AI services and infrastructure on AWS, Microsoft Azure, or Google Cloud.\nFamiliarity with LLM evaluation frameworks, guardrails, observability, model monitoring, and LLMOps practices.\nExperience developing enterprise copilots, internal AI assistants, workflow automation tools, or multi-agent systems.\nFamiliarity with web standards, semantic HTML, CSS, JavaScript performance optimization, Core Web Vitals, and WCAG accessibility guidelines.\nTechnical Skills\nAI & Machine Learning\nGenerative AI, LLMs, prompt engineering, embeddings, RAG, AI agents, model evaluation, and guardrails.\nProgramming & Web Engineering\nPython, JavaScript/TypeScript, React or equivalent frameworks, Node.js, REST APIs, HTML5, and CSS3.\nAI Infrastructure & Data\nVector databases, document processing, API integration, structured data, retrieval pipelines, and enterprise knowledge systems.\nCloud & DevOps\nAWS, Azure, or GCP; Docker; Git; CI/CD; automated testing; monitoring; and deployment automation.\nDigital Experience & Marketing Technology\nCMS platforms, web production workflows, personalization, SEO, digital analytics, experimentation, and content lifecycle management.\nQuality, Security & Governance\nAI evaluation, accessibility validation, secure coding, data privacy, content governance, and production observability.\nCompensation Disclosure\nThe 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/com-missioned 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.\n$175,400.00 - $283,800.00/yrOur Commitment\nWe’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.\nWe are committed to providing reasonable accommodations for all qualified individuals with a disability. 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