Your Impact
Multi-Disciplinary Leadership: Lead, scale, and mentor a high-performing engineering group consisting of Data Engineers, MLOps Engineers, and Data/AI Architects; foster a culture of technical excellence, continuous learning, and rapid, disciplined execution.
End-to-End AI & Data Lifecycle: Own the end-to-end engineering lifecycle for our AI and data ecosystem—spanning large-scale data ingestion and transformation, feature pipelines, model fine-tuning and hosting, CI/CD for ML, inference serving, and real-time observability.
Architectural Strategy: Partner closely with Data and AI Architects to set the technical blueprint for generative AI, agentic frameworks, retrieval-augmented generation (RAG), and unified data lakehouse infrastructures across cloud environments.
MLOps & Operational Excellence: Direct the implementation of automated, secure, and cost-effective MLOps infrastructure (evaluation, guardrails, deployment, monitoring, drift detection, and feedback loops) to reliably scale models from proof-of-concept to global production.
Strategic Collaboration & Executive Alignment: Act as a critical technical partner to Product Management, Threat Research, Security Operations, and core engineering leadership, aligning group roadmaps with company-wide strategic bets.
AI Governance & Security: Champion security, data privacy, and ethical AI standards across all platforms, ensuring resilience against adversarial attacks and compliance with enterprise data policies.
Qualifications
Your Experience
Proven Leadership Track Record: 5+ years of direct engineering management experience, with at least 2–3 years managing other managers or multi-team groups (Group Manager, Director, or equivalent) within complex R&D environments.
Deep AI/ML & Data Engineering Depth: Broad, battle-tested technical expertise across modern AI domains (Generative AI, Agentic architectures, LLMs, NLP, traditional ML) combined with enterprise data engineering paradigms (distributed data processing, streaming, modern data lakehouse architectures).
MLOps & Platform Scale: Demonstrated success designing and operating production-scale MLOps platforms, CI/CD for AI, model registries, automated evaluation benchmarks, and low-latency inference serving.
Cloud Architecture & Infrastructure: Strong architectural fluency with major public cloud ecosystems (AWS, GCP, or Azure), containerization (Kubernetes, Docker), and distributed compute/data technologies (e.g., Spark, Kafka, Snowflake, Databricks, Ray).
Execution & Organizational Maturity: Proven ability to balance long-term architectural investments with short-term business deliverables, managing multiple parallel workstreams with transparent governance and numerical KPIs.
Education: B.Sc. or M.Sc. in Computer Science, Software Engineering, Data Science, or an equivalent quantitative discipline.
What Will Make You Stand Out
Direct domain experience in Cybersecurity, threat intelligence, or AI-powered automated security operations (SecOps).
Deep practical knowledge of modern GenAI frameworks and protocols (e.g., LangChain, LlamaIndex, Model Context Protocol (MCP), Vector databases, and fine-tuning techniques).
Hands-on familiarity with native cloud AI suites (e.g., AWS Bedrock/SageMaker, GCP Vertex AI, Azure OpenAI Service).
Active engagement with the broader AI engineering or research community (open-source contributions, technical publications, or speaking engagements).
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? No. Please note that we will not sponsor applicants for work visas for this position.
