Principal AI Engineer

Your Career

Were hiring a Principal AI Engineer to lead the technical vision architecture and hands-on development of next-generation autonomous AI Agents for our CX and GTM this role youll build goal-driven agents capable of reasoning planning learning and self-directed execution across complex enterprise environments.

As both a deep technical leader and strategic thinker youll shape our company-wide agentic AI strategy define the product roadmap and establish best practices in close partnership with CX/GTM domain experts software engineering data science and executive leadership.

This is a high-impact enterprise-spanning role driving the future of agentic AI at our company.

Your Impact

• Lead the design and implementation of AI agents capable of planning multi-step execution self-correction and collaboration with humans or other agents.

• Define the architectural blueprint for scalable AI/ML and agentic systems aligned with the enterprise GenAI strategy.

• Build fine-tune and adapt LLMs multimodal models and specialized agent models.

• Lead end to end Design implementation and integration of traditional AI/ML systems (eg data science/statistical models) into agentic workflows.

• Create advanced reasoning pipelines retrieval systems and knowledge-graph integrations to enable autonomous task execution.

• Ensure production readiness through rigorous testing evaluation frameworks and real-world performance validation.

• Drive the full solution lifecyclefrom prototype to productionensuring scalability reliability safety observability and high performance across all AI/ML and agentic components.

• Partner with data engineering teams to design high-quality datasets synthetic data pipelines and continuous learning feedback loops.

• Mentor and guide data scientists and engineers establishing AI standards/guidelines for data science and engineering across the organization.

• Communicate complex technical decisions trade-offs and recommendations to executives and cross-functional stakeholders.

Qualifications :

Your Experience 

• Masters/PhD in Computer Science AI Data Science or related field.

• 15 years in data science software engineering data engineering ML or Applied AI experience including architecting large-scale distributed systems.

• Deep expertise in implementing AI/ML systems using LLMs RAG Agent Frameworks (eg LangChain LangGraph) and  and advanced intelligent autonomous systems

• Significant experience building production systems involving ML Models LLM inference fine-tuning orchestration Multi-step reasoning and planning Tool/function calling etc. 

• Up-to-date with latest LLM model capabilities and their evolution like GPT Anthropic Llama models etc.  

• Hands-on experience in building supervised unsupervised and semi-supervised models/solutions.

• Demonstrated ability to lead high-ambiguity cross-team technical initiatives.

• Strong proficiency in SQL to analyse structured data relational data bases.

• Strong proficiency in at least one core language (Python Go Java or equivalent).

• Strong knowledge of distributed systems microservice architecture and cloud platforms (AWS/Azure/GCP).

• Excellent communication skills and the ability to influence at all levels of the organization.

Additional Information :

The Team

Working at a high-tech cybersecurity company within Information Technology is a once-in-a-lifetime opportunity. Youll join the brightest minds in technology creating building and supporting tools and enabling our global teams on the front line of defense against cyberattacks.

Were connected by one mission but driven by the impact of that mission and what it means to protect our way of life in the digital age. Join a dynamic and fast-paced team of people who feel excited by the prospect of a challenge and feel a thrill at resolving technical gaps that inhibit productivity.

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.

Remote Work :

No

Employment Type :

Full-time