Solutions Architect, LLM Model Builder

What you'll do

• Guide partners on model fine-tuning, optimization, benchmarking, evaluation, and inference architecture.
• Define benchmark plans, evaluation workflows, compute plans, and production-readiness testing.
• Develop reference architectures and technical resources, and support pre- and post-sales partner engagements.

What they ask for

• 5+ years of relevant experience with LLMs, VLMs, and large-scale inference systems, including hands-on model development and deployment.
• Strong foundation-model knowledge and familiarity with reasoning models, reinforcement learning, and synthetic-data workflows.
• Strong programming skills in Python and hands-on experience with PyTorch, JAX, or TensorFlow.
• Strong communication and presentation skills for technical teams and executives.

Nice to have

• Experience deploying large-scale AI systems for partners or customers; building benchmark suites, fine-tuning recipes, sizing calculators, or TCO models.
• Knowledge of GPU infrastructure and cluster technologies; active open-source contributions in model tooling, inference, evaluation, or performance optimization.

Pay

152,000 USD - 241,500 USD (base salary)

Tools

Python, PyTorch, JAX, TensorFlow, Nemotron, NeMo, Dynamo, TensorRT-LLM

AI focus

Partner enablement for reasoning and multimodal models, fine-tuning, synthetic data, evaluation, optimization, and production inference.