Principal AI Engineer @ Palo Alto Networks

Your Career

We''re 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 workflows.In this role, you''ll 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, you''ll 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 lifecycle??from prototype to production??ensuring 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.

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.