drjobs Principal AI Engineer (Office of the CPO: Innovation Team)

Principal AI Engineer (Office of the CPO: Innovation Team)

Employer Active

1 Vacancy
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

Santa Clara - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Your Career

As a Principal AI Engineer in the Office of the Chief Product Officer: Innovation Team you will shape the next generation of AI-powered security and developer-productivity solutions. You will lead exploratory research rapid prototyping and cross-functional pilots that fuse state-of-the-art foundation models with Palo Alto Networks security platforms.

Your Impact

  • Drive end-to-end AI integrations with frontier models (Anthropic Claude 4 OpenAI GPT-4o Google Gemini open-source LLMs) across text code image and multimodal domains.
     

  • Prototype and benchmark MCP and A2A protocols to enable dynamic orchestration of multiple agents and tools.
     

  • Lead context engineering & prompt design for RAG and agentic workflows; create evaluation harnesses to measure accuracy latency and cost.
     

  • Build proof-of-concepts that embed AI throughout the software-development life-cycle (SDLC)planning coding code review testing and releaseto quantify productivity gains.
     

  • Research and validate AI-driven cybersecurity use-cases (e.g. threat-hunting copilots real-time anomaly triage) and partner with product groups to harden prototypes for production.
     

  • Instrument metrics pipelines that track developer and security-analyst outcomes to demonstrate ROI of AI initiatives.
     

  • Craft executive-level narratives demos and visualizations that clearly communicate innovation roadmaps technical trade-offs and business impact.

  • Mentor senior engineers and researchers; foster a culture of experimentation responsible AI and security-first thinking.


Qualifications :

Your Experience 

  • 10 years in software/ML engineering with 2 years leading applied Generative AI or LLM initiatives at scale.
     

  • Proven expertise in:
     

    • Large Language & Multimodal Models: fine-tuning RAG alignment hallucination testing.
       

    • Distributed systems & MLOps: containerized inference model-versioning feature stores.
       

    • Programming: Python (required) plus one of Go Java Javascript.
       

    • Cloud AI stacks (GCP Vertex AWS SageMaker Azure ML) and vector databases.
       

  • Hands-on experience integrating AI into developer tooling (IDE plug-ins CI/CD observability dashboards).
     

  • Deep understanding of cybersecurity concepts (attack vectors threat intelligence MITRE ATT&CK) and ability to translate them into AI features.
     

  • Strong communication skills; comfortable presenting to VP/C-suite audiences and external conferences.
     

  • B.S. or higher in CS EE Mathematics or related field; M.S./Ph.D. preferred.


Additional Information :

The Team

You will join a small fast-moving Innovation Team inside the CPOs office that partners with Product Engineering Unit 42 research and Field CTOs to incubate breakthrough capabilities before scaling them company-wide.

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 $00/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  .

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


Remote Work :

No


Employment Type :

Full-time

Employment Type

Full-time

Department / Functional Area

Engineering

About Company

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.