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 careers@tekfortune.com . To view all the jobs available in the USA and Asia please visit our website at https://www.tekfortune.com/careers/ .