Palo Alto Principal AI Engineer 

India, Karnataka, Bengaluru 

644596969

Being the cybersecurity partner of choice, protecting our digital way of life.

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.

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.

All your information will be kept confidential according to EEO guidelines.