Senior Applied AI Solutions Engineer
Core
Bridge enterprise customers from POC to production on a full-stack AI cloud platform while prototyping applied AI use cases to drive product roadmap.
Role type
Senior Applied AI Solutions Engineer (IC)
Builds
Serverless inference, databases, MLflow, MLOps, Physical AI, and HCLS solutions for enterprise customers.
Domain
Cloud infrastructure, Applied AI, MLOps, GPU orchestration
Deliverable
production ML models | product features
Required skills
Large model fine-tuning, distributed training debugging, production RAG/agentic pipelines, inference optimization on GPU, PyTorch, HuggingFace, CUDA fundamentals, Kubernetes for ML, MLflow, vector databases
Preferred skills
Physical AI/robotics/simulation, HCLS (drug discovery, medical imaging), MLOps at scale (Kubeflow, Metaflow, Argo, Ray), prior cloud provider/AI infrastructure experience
Technologies
PyTorch, HuggingFace, CUDA, Kubernetes, MLflow, Kubeflow, Metaflow, Argo, Ray
Responsibilities
Build prototypes and demos across the product portfolio; support new customers hands-on through POC design and technical onboarding; go deep on emerging applied AI techniques and turn findings into prototypes; feed the product roadmap with grounded feedback from customer POCs; develop reusable technical assets like notebooks and reference architectures
Seniority
Senior, hands-on IC