Sr. AI Engineer - IT Business
Listed on 2026-09-09
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IT/Tech
AI Engineer (Applied/Software)
Our Mission
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.
OurMission
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.
WhoWe 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 SummaryWe are hiring AI Engineers at the Staff and Senior Staff levels to join our IT Business Applications team. This group builds and operates the technology platforms that power Marketing, Sales, and the full Lead-to-Cash lifecycle. This is a solutions engineering role, not a data science or ML research role. You will act as a hands-on technical leader who uses AI as building blocks—LLMs, agents, RAG, embeddings-to deliver production solutions that solve real business problems.
You will partner directly with business and product stakeholders, translate requirements into scalable architecture, and own delivery end-to-end from design through production operations. You will move beyond traditional software engineering to design intelligent, agentic workflows that revolutionize our Go-To-Market (GTM) and customer experience processes-ensuring our platforms are the most secure and efficient in the industry, directly improving operational revenue generation.
Impact
- AI Architecture & Solution Design:
Translate business requirements into scalable, modern technical architectures meeting non-functional requirements (performance, reliability, scalability, security, observability). Contribute to building Proxy-First AI Ecosystems and unified API endpoints to abstract LLM complexity and enable vendor independence. - GenAI & Multi-Agent Systems:
Design and build Multi-Agent Systems and Agent-to-Agent (A2A) workflows capable of planning, multi-step execution, and self-correction. Apply GenAI to automate GTM logic across customer support, sales compensation, and entitlement platforms. - AI Observability & Quality:
Implement observability pipelines tracking trace-level data, prompt inputs/outputs, model latency, and cost. Deploy "LLM as a Judge" evaluation frameworks and integrate real-time feedback loops to fix bottlenecks and model drift. - Security & Governance:
Build robust input/output guardrails to prevent PII exposure and prompt injection attacks. Implement graceful degradation strategies so systems remain resilient during component failures. - Leadership & Execution:
Drive features and subsystems from prototype to production. Mentor engineers, uphold engineering standards, and clearly communicate technical trade-offs to business partners.
- Staff: 5+ years of experience (or 8+ with a Master's degree).
- Sr. Staff: 8+ years of experience (or 6+ with a Master's, 3+ with a PhD).
- Technical Mastery:
Expert-level proficiency in Python and strong proficiency in Go, Java, or…
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