Senior GenAI Programs Lead

Advanced Micro Devices; Helsinki; On-site; EUR 90,000 - 130,000; Full time

Job summary

Advanced Micro Devices (AMD) is seeking a Senior Technical Program Manager (TPM) to lead forward-deployed GenAI programs with AMD's strategic customers. This is a customer-facing technical leadership role at the intersection of frontier AI research, production-grade GenAI systems, and large-scale GPU deployments.

You will partner with forward-deployed engineers, internal teams, and customer stakeholders to ensure state-of-the-art models run efficiently and cost-effectively on AMD GPUs.

Qualifications

• Experience leading complex, cross-functional technical programs in AI/GenAI.
• Experience delivering medium-to-large-scale AI programs with multiple stakeholders.
• Strong understanding of GenAI inference and performance optimization (latency, throughput, cost).
• Experience at framework and system level with modern GenAI stacks (PyTorch, serving frameworks).

Responsibilities

• Lead end-to-end delivery of forward-deployed GenAI programs with strategic customers.
• Act as technical program lead for GenAI performance and enablement initiatives.
• Drive latency, throughput, concurrency, and cost-efficiency improvements for real-time workloads.
• Collaborate with inference/training framework teams to optimize models and frameworks.
• Translate customer requirements into executable technical roadmaps with clear milestones.

Skills

Cross-functional leadership

GenAI/AI systems

Technical program management

Technical communication

Education

Bachelor's degree in CS/related field

Tools

PyTorch

vLLM

SGLang

Inference servers

Job description

Advanced Micro Devices (AMD) is seeking a Senior Technical Program Manager (TPM) to lead forward-deployed GenAI programs with AMD's strategic customers. This is a customer-facing technical leadership role at the intersection of frontier AI research, production-grade GenAI systems, and large-scale GPU deployments.

You will partner with forward-deployed engineers, internal teams, and customer stakeholders to ensure state-of-the-art models run efficiently and cost-effectively on AMD GPUs.