Lead Agentic AI Systems Engineer - Hybrid

Hewlett Packard Enterprise; Fort Collins (CO); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Hewlett Packard Enterprise is seeking an Agentic AI Engineer to design, build, and operate production-grade agentic systems that integrate foundation models, data, tools, and automation. This hybrid role requires collaboration across teams and a focus on secure, scalable architectures.

You will architect multi-agent workflows, enable tool integration, and implement observability, reliability, and performance guardrails while deploying with containers and cloud-native practices.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or related field.
• Typically 5–8 years of software engineering, platform engineering, distributed systems, or AI engineering experience.
• Proven experience delivering production software systems.
• Hands-on experience building LLM-powered or agentic systems preferred.

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 and services that separate AI reasoning and planning from deterministic execution.
• Develop model-agnostic interfaces supporting multiple foundation models, providers, and inference platforms.
• Build and integrate 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 supporting 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 engineering practices.
• Evaluate emerging models, frameworks, protocols, and technologies while maintaining architectural independence from individual vendors or platforms.

Skills

System Design

Distributed Systems

APIs

Event-driven Architecture

Security Engineering

Education

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

Job description

Hewlett Packard Enterprise is seeking an Agentic AI Engineer to design, build, and operate production-grade agentic systems that integrate foundation models, data, tools, and automation. This hybrid role requires collaboration across teams and a focus on secure, scalable architectures.

You will architect multi-agent workflows, enable tool integration, and implement observability, reliability, and performance guardrails while deploying with containers and cloud-native practices.