Senior Agentic AI Systems Engineer for HPC & Enterprise

AMD

Helsinki

Hybrid

EUR 90,000 - 140,000

Full time

14 days+

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Benefits offered by this job

Job summary

AMD in Finland/Sweden is seeking an experienced 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, launching jobs, diagnosing failures, optimizing execution, and operating safely across shared compute and enterprise environments.

The successful candidate will have experience delivering reliable LLM‑powered agentic systems, a strong understanding

Qualifications

Advanced degree in Computer Science, Computer Engineering, Electrical Engineering, or related field, or equivalent practical experience.
Experience delivering production agentic AI or LLM systems with orchestration, tool use, memory, evaluations, and long-horizon reliability.
Strong proficiency in Python and experience with at least one systems programming language such as C, C++, Rust, or Go.
Experience integrating automation with real-world tooling including code execution, build/test systems, schedulers, telemetry, CI/CD, or deployment pipelines.
Experience building reliable production systems with observability, fallback mechanisms, regression gates, incident debugging, security controls, and operational ownership.

Responsibilities

Design agents for HPC and enterprise workflows, incorporating planning, tool use, memory, retrieval, governance, and human approval mechanisms.
Build production systems for job orchestration, enterprise workflow automation, monitoring, debugging, optimization, reproducibility, and rollback.
Automate environments, containers, toolchains, schedulers, CI/CD, enterprise systems, telemetry, workflow composition, and launch processes.
Implement safe execution through authentication, authorization, secrets handling, audit logging, sandboxing, compliance controls, and policy enforcement.
Research and prototype agentic methods for long‑running workflows, failure recovery, optimization loops, evaluation, and human‑in‑the‑loop reliability.