Senior Agentic Systems Engineer for HPC & AI

AMD; Helsinki; Hybrid; EUR 90,000 - 150,000; Full time

Job summary

AMD is seeking an experienced Senior Agentic System & Application Engineer to design and develop agentic AI systems that automate complex HPC and enterprise workflows. You will build production-grade agents capable of planning, invoking tools, managing workflow state, and diagnosing failures.

The role requires strong Python and systems programming experience, with familiarity in HPC scheduling, distributed systems, and enterprise automation.

Qualifications

• Experience delivering production agentic AI or LLM systems with orchestration, tool use, memory, evaluations, and long-horizon reliability.
• Strong proficiency in Python and a systems programming language (C/C++, Rust, or Go).
• Experience integrating automation with real-world tooling, including CI/CD, deployment pipelines, and tooling.
• Experience with observability, failure handling, security controls, and operational ownership.

Responsibilities

• Design agents for HPC and enterprise workflows with planning, tool use, memory, retrieval, governance, and human approval mechanisms.
• Build production systems for job orchestration, enterprise workflow automation, monitoring, debugging, and optimization.
• Automate environments, containers, schedulers, CI/CD, enterprise systems, telemetry, workflow composition, and launch processes.
• Implement safe execution through authentication, authorization, secrets handling, audit logging, sandboxing, and policy enforcement.
• Research and prototype agentic methods for long-running workflows and failure recovery.

Skills

Agentic AI

LLM orchestration

Distributed systems

HPC scheduling

Security controls

Observability

Education

Advanced degree in CS/CE/EE

Tools

Python

C/C++

Rust

Go

Job description

AMD is seeking an experienced Senior Agentic System & Application Engineer to design and develop agentic AI systems that automate complex HPC and enterprise workflows. You will build production-grade agents capable of planning, invoking tools, managing workflow state, and diagnosing failures.

The role requires strong Python and systems programming experience, with familiarity in HPC scheduling, distributed systems, and enterprise automation.