Senior Agentic AI Engineer

Tekfortune is a fast-growing consulting firm specialized in permanent, contract & project-based staffing services for world's leading organizations in a broad range of industries. In this quickly changing economic landscape, virtual recruiting and remote work are critical for the future of work. To support the active project demands and skills gaps, our staffing experts can help you find the best job for you. Role: Senior Agentic AI Engineer (Palo Alto Networks Ecosystem) Location: Palo Alto, CA Duration: 6 Months Required Skills: Cortex AgentiX Job Description: We are looking for a Senior Agentic AI Engineer to build and validate autonomous digital teammates within the Cortex AgentiX and Prisma SASE platforms. Unlike traditional AI roles focused on model training, this position is centered on Orchestration-building systems that can reason, plan, and execute multi-step tasks across complex networking and security environments. Key Responsibilities: Multi-Agent Orchestration: Design and deploy collaborative agent swarms using frameworks like LangGraph, CrewAI, or AutoGen to automate complex security remediation workflows. Tool & Skill Engineering: Build "Agent Skills" and reusable toolkits that allow LLMs to interact securely with internal APIs, databases, and network protocols (BGP, IPsec, SD-WAN). Universal Connectivity (MCP): Implement the Model Context Protocol (MCP) to create standardized, plug-and-play interfaces between agents and the PANW ecosystem. Context Engineering & Budgeting: Manage the "Context Window" as a resource-optimizing token usage through advanced RAG (Retrieval-Augmented Generation) and semantic caching. Sandboxed Execution: Develop Programmatic Tool Calling environments (e.g., Python sandboxes) where agents can execute code to filter and aggregate data before returning a final response. Agentic Validation: Build "Evaluation LLM-as-a-Judge" frameworks to measure agent accuracy, latency, and tool-use reliability before production deployment. Technical Requirements: Languages: Expert-level proficiency in Python or Go (for high-performance backend orchestration). AI Frameworks: Deep experience with LangChain, LangGraph, LlamaIndex, and Semantic Kernel. Model Context: Proven ability to implement MCP for secure agent-to-tool communication. Infrastructure: Hands-on experience with Kubernetes, Docker, and cloud-native architectures (GCP/AWS). Database Mastery: Experience with Vector databases ( Pinecone, Milvus, Weaviate) and hybrid search strategies. Cybersecurity DNA: Familiarity with SOAR (Security Orchestration, Automation, and Response) and SASE architectures is a massive plus. For more information and other jobs available please contact our recruitment team at . To view all the jobs available in the USA and Asia please visit our website at .

Created: 2026-03-10