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Senior Agentic AI Engineer
Job Location:
Job Location:
Palo Alto, CA - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
8 September 2026 (16 hours ago)
Posted:
Application Deadline:
6 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Tekfortune is a fast-growing consulting firm specialized in permanent contract & project-based staffing services for worlds leading organizations in a broad range of 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 Orchestrationbuilding systems that can reason plan and execute multi-step tasks across complex networking and security environments.
Key Responsibilities:
Technical Requirements:
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 .
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 Orchestrationbuilding 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 resourceoptimizing 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 .
Required Experience:
Senior IC
