Senior Agentic AI Security Engineer (Hybrid)

Hewlett Packard Enterprise; San Jose (CA); Hybrid; USD 180,000 - 230,000; Full time

Job summary

Hewlett Packard Enterprise in San Jose, CA seeks an Agentic AI Engineer to design, build, and operate production-grade agentic systems combining foundation models, services, enterprise data, tools, and automation. The role emphasizes architecture, orchestration, and secure, reliable platforms for complex multi-step workflows.

You will work on model-agnostic integration, tool registries, MCP servers, vector databases, and retrieval services while ensuring security, observability, and scalable,

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, or related technical discipline, or equivalent practical experience.
• Typically 5–8 years of software engineering, platform engineering, distributed systems, AI engineering, or related experience.
• Hands-on experience delivering production software systems with LLM-powered or agentic capabilities.

Responsibilities

• Design scalable architectures for production-grade agentic AI systems.
• Build agent orchestration, multi-agent workflows, state management, memory, tool integration, and human-in-the-loop capabilities.
• Design reusable execution harnesses separating AI reasoning and planning from deterministic execution.
• Develop model-agnostic interfaces supporting multiple foundation models, providers, and inference platforms.
• Build MCP servers, APIs, tool registries, skills, enterprise services, and data sources.
• Develop retrieval and context services including RAG, hybrid search, vector databases, and agent memory.
• Build backend services for asynchronous and distributed agent execution.
• Design evaluation and testing capabilities for agent behavior, tool usage, task completion, security, reliability, and performance.
• Implement observability across agent execution, model interactions, tools, state transitions, and system performance.
• Apply security engineering principles including least privilege, sandboxing, authorization, secrets management, guardrails, and auditability.
• Deploy and operate agentic services using containers, Kubernetes, CI/CD, and modern cloud-native practices.
• Evaluate emerging models, frameworks, protocols, and technologies while maintaining architectural independence.

Skills

LLM-powered systems

Agent orchestration

Distributed systems

Education

Bachelor’s or Master’s degree in CS/Engineering/AI

5–8 years software/AI eng experience

Tools

Kubernetes

CI/CD pipelines

Job description

Hewlett Packard Enterprise in San Jose, CA seeks an Agentic AI Engineer to design, build, and operate production-grade agentic systems combining foundation models, services, enterprise data, tools, and automation. The role emphasizes architecture, orchestration, and secure, reliable platforms for complex multi-step workflows.

You will work on model-agnostic integration, tool registries, MCP servers, vector databases, and retrieval services while ensuring security, observability, and scalable,