CyberArk

CyberArk

Senior Principal Engineer Software (AI Ops)

Santa Clara, United States of America, USA · Principal · Full-time

Sponsorship not specified$170k-$277kDetected 25 days ago
PythonGoDistributed SystemsSQLElasticsearchVector DatabasesAWSGCPKubernetesTerraformCI/CDTemporalLLMsRAGAgentic AILangGraphAI OrchestrationA/B TestingCustomer SupportManual TestingCommunicationCollaborationProblem Solving

About the role

  • In this role, you will act as a senior technical leader responsible for defining and driving the architecture of AI-native applications that solve complex business problems through intelligent workflows, reasoning systems, and scalable distributed services.
  • This is a deeply hands-on role for someone who can operate at both the strategy and implementation layers - shaping technical direction while also prototyping, reviewing, and guiding critical components into production.

Responsibilities

  • Architect and build enterprise-grade Generative AI applications that combine LLMs, retrieval, structured data access, search, orchestration, and workflow automation.
  • Design agentic systems and multi-step reasoning workflows using frameworks such as LangGraph or equivalent, with clear control over state, memory, tool invocation, and human-in-the-loop checkpoints.
  • Build durable, fault-tolerant orchestration for long-running AI and business workflows using Temporal or similar workflow execution platforms.
  • Define architectures that reason effectively across both structured and unstructured enterprise data, including relational data, APIs, knowledge bases, event streams, and document stores.
  • Architect and optimize AI search experiences using platforms such as Elasticsearch, OpenSearch, and vector databases to support high-relevance, large-scale enterprise applications.
  • Define and implement guardrails for AI applications, including prompt injection defenses, sensitive data protection, policy enforcement, grounding checks, output controls, and secure tool access boundaries.
  • Drive reference architectures and reusable platform patterns for model routing, prompt and workflow versioning, observability, experimentation, and safe production rollout.
  • Lead technical design reviews, mentor senior engineers, and raise the engineering bar for AI application reliability, maintainability, and security.
  • Palo Alto Networks is looking for a highly experienced, hands-on Senior Principal AI Software Engineer to architect and build the next generation of Generative AI applications and agentic systems across the enterprise.

Requirements

  • BS, MS, or PhD in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • 10+ years of experience building large-scale distributed systems, platforms, or enterprise applications, with significant hands-on engineering depth.
  • Proven experience designing and shipping production AI or LLM-powered applications, including agentic workflows, RAG systems, intelligent automation, or AI-native business applications.
  • Strong experience with Python and at least one additional language such as Go or Java.
  • Strong understanding of modern agent orchestration frameworks such as LangGraph or equivalent approaches for stateful, multi-step, tool-using AI systems.
  • Strong experience with Temporal or similar durable workflow orchestration systems for long-running, reliable, and resilient execution.
  • Experience designing reasoning systems that combine structured and unstructured data, including text-to-SQL, retrieval-augmented workflows, API-based reasoning, and workflow-based decision systems.
  • Deep experience with vector stores, embeddings, retrieval pipelines, and semantic search architectures.
  • Experience implementing AI guardrails and safety controls, including data handling boundaries, policy-based filtering, grounding validation, and safe tool invocation patterns.
  • Strong knowledge of distributed systems fundamentals, cloud-native architecture, reliability engineering, observability, and performance optimization.
  • Your Experience
  • Strong experience with search platforms such as Elasticsearch or OpenSearch, including relevance tuning, indexing strategies, filtering, full-text retrieval, and hybrid search design.
  • Experience building LLM evaluation frameworks, including offline benchmarking, regression testing, trace analysis, output quality scoring, and KPI-based measurement in production.

Nice to have

  • Experience with evaluation-driven development for LLM systems and agents.
  • Experience with AI observability platforms, prompt and workflow tracing, and operational debugging for production AI systems.
  • Familiarity with cloud-native systems running on platforms such as GCP or AWS, and with technologies such as Kubernetes, Terraform, and modern CI/CD pipelines.
  • Experience balancing model quality, latency, cost, and safety trade-offs in high-scale enterprise environments.
  • Compensation Disclosure
  • $170,000.00 - $277,000.00/yr
  • We're trailblazers that dream big, take risks, and challenge cybersecurity's status quo.
  • Palo Alto Networks is an equal opportunity employer.

Compensation

  • 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/com-missioned roles) is expected to be the annual range listed below.
  • The offered compensation may also include restricted stock units and a bonus.
  • $170,000.00 - $277,000.00/yr
  • We're trailblazers that dream big, take risks, and challenge cybersecurity's status quo.

Benefits

  • A description of our employee benefits may be found here.

Company info

  • 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.
  • Lead the design of retrieval pipelines that include lexical search, semantic search, vector search, metadata filtering, reranking, and hybrid retrieval strategies.
  • Establish evaluation frameworks for LLM and agentic systems, including offline evals, regression suites, scenario-based testing, trace-level diagnostics, human review loops, and online quality metrics tied to business outcomes.
  • Stay deeply involved in execution by prototyping critical workflows, evaluating frameworks and platforms, and helping teams solve the hardest production issues.
  • 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.
  • 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.

Equal opportunity

  • If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com.
  • equal opportunity employer.

Visa & Work Authorization

  • Is role eligible for Immigration Sponsorship?: Yes
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This listing is sourced directly from CyberArk's careers page and normalized into a canonical job model.