Principal AI Systems Architect - Production Agents & MLOps

Advantest America; Minneapolis (MN); On-site; USD 180,000 - 260,000; Full time

Job summary

Advantest America seeks a Senior Principal AI Systems Engineer to architect and deliver production AI capabilities. You will lead hands-on technical work in agentic AI, open-source model development, and reliable AI infrastructure.

You will guide model development, evaluation systems, and multi-step reasoning across tools and data sources, ensuring robust, scalable solutions for complex deployments.

Qualifications

• Hands-on technical leader with deep expertise in agentic AI and multi-step reasoning.
• Experience in open-source model development, fine-tuning, evaluation systems, and reliable AI infrastructure.
• Ability to design controls and interfaces between models, tools, and data services.

Responsibilities

• Architect production-grade systems for tool-using and multi-step AI agents.
• Design orchestration, memory, session management, retries, timeouts, observability, and failure recovery.
• Establish structured and typed interfaces between models, tools, data services, and applications.
• Build controls that prevent agents from bypassing required validation and approval stages.
• Develop reusable agent frameworks supporting multiple products and deployment environments.
• Fine-tune open-source and specialized models for complex technical tasks.
• Evaluate tradeoffs among model quality, inference performance, deployment cost, security, and maintainability.
• Create training-data pipelines and evaluation datasets with traceability for experiments.

Skills

Agentic AI

Open-source ML

Model fine-tuning

Evaluation systems

AI infrastructure

Technical leadership

Job description

Advantest America seeks a Senior Principal AI Systems Engineer to architect and deliver production AI capabilities. You will lead hands-on technical work in agentic AI, open-source model development, and reliable AI infrastructure.

You will guide model development, evaluation systems, and multi-step reasoning across tools and data sources, ensuring robust, scalable solutions for complex deployments.