Principal Engineer Software AI Customer Copilot
Principal Engineer Software AI Customer Copilot
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
Your Career
We are seeking a Principal LLM Application Engineer to join our team and lead the development and optimization of cuttingedge Large Language Models (LLMs) within the cybersecurity domain. You will play a pivotal role in advancing our AI technology leveraging Generative AI LLMs and ML Ops to drive impactful solutions. As a technical leader you will lead highimpact projects mentor crossfunctional teams and contribute to the strategic direction of our AIdriven cybersecurity initiatives.
Your Impact
Develop & Optimize LLMs: Lead the design finetuning and optimization of stateoftheart LLMs for various cybersecurity applications focusing on both performance and accuracy.
Model Evaluation: Conduct indepth evaluations of LLMs assessing their effectiveness efficiency and business alignment.
AI Technology Integration: Implement advanced AI technologies such as RetrievalAugmented Generation (RAG) function calling and code interpreters to enhance LLM capabilities.
Research & Development: Stay at the forefront of advancements in machine learning particularly in LLMs LLM agents and largescale neural networks.
Parallel Training Techniques: Utilize data and model parallel training techniques to efficiently manage largescale models.
CrossFunctional Leadership: Work closely with ML engineers data scientists and product teams to guide mentor and foster collaboration across disciplines.
Documentation & Communication: Maintain detailed documentation of models methodologies and findings ensuring clear communication across the organization.
Product Strategy: Contribute to the AIdriven product roadmap vision and strategic direction.
New Initiatives & Architecture: Lead the incubation of new initiatives design scalable AI/ML solutions and drive strategic technology choices for delivery within a microservices architecture.
Model Deployment: Design test and deploy machine learning models including LLMs and develop scalable pipelines for both batch and realtime use cases.
Qualifications :
Your Experience
Education: Bachelors degree in Computer Science Engineering or a related field.
Experience: 8 years of industry experience in machine learning data analytics and software engineering.
Programming: Expertise in Python (or Go).
LLM Expertise: Proven experience working with large language models (e.g. open ai LLAMA GEMINI..
Deep Learning: Strong theoretical or empirical understanding of deep learning techniques and frameworks.
ML Model Deployment: Experience in building testing and deploying machine learning models particularly large language models.
Debugging & Analytical Skills: Strong ability to troubleshoot and optimize models.
Cloud & Distributed Computing: Familiarity with building applications using Google cloud platform(GCP) computing environments.
MLOps/LLMOps: Experience with DevOps/MLOps practices for machine learning.
Communication: Excellent communication skills for explaining technical concepts and collaborating with crossfunctional teams.
Passion: A keen interest in staying updated with the latest AI and machine learning trends.
Preferred Skills & Experience
Advanced Degree: Masters or PhD in Computer Science AI or related fields with a focus on machine learning and NLP.
Cybersecurity Experience: Experience working within the cybersecurity domain.
GenAI Solutions: Familiarity with building GenAI solutions using the RAG framework and LLM Agentic applications.
Additional Information :
The Team
Our engineering team is at the core of our products connected directly to the mission of preventing cyberattacks. We are constantly innovating challenging the way we and the industry think about cybersecurity. Our engineers dont shy away from building products to solve problems no one has pursued before.
We define the industry instead of waiting for directions. We need individuals who feel comfortable in ambiguity excited by the prospect of a challenge and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.
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 nonsales roles) or base salary commission target (for sales/commissioned roles) is expected to be between $200000 $225000/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 :
Fulltime
Employment Type
Full-time
