Senior Applied AI Solutions Engineer
Core
Senior Applied AI Solutions Engineer bridging enterprise customers and AI infrastructure to move ML workloads from proof of concept to production.
Role type
Senior IC Applied AI Solutions Engineer
Builds
Production-ready prototypes, reference architectures, and technical demonstrations for serverless inference, databases, and agentic systems.
Domain
AI Infrastructure / Enterprise ML / Healthcare & Life Sciences
Deliverable
production ML models | product features | client delivery
Required skills
Fine-tuning large models, debugging distributed training, building RAG/agentic pipelines, GPU inference optimization, PyTorch, Hugging Face, CUDA, Kubernetes for ML, MLflow, vector databases
Preferred skills
Physical AI, robotics, simulation, clinical NLP, drug discovery, Kubeflow, Metaflow, Argo, Ray, cloud provider experience, open-source contributions
Technologies
PyTorch, Hugging Face, CUDA, Kubernetes, MLflow, Kubeflow, Metaflow, Argo, Ray, vector databases
Responsibilities
Build polished prototypes and technical demonstrations across serverless inference and applied AI use cases; Support enterprise customers hands-on through proof-of-concept design and transition to production; Act as a technical bridge between customer ML teams and the platform; Research emerging applied AI techniques and turn findings into working prototypes; Translate research and customer experience into actionable product feedback; Identify recurring issues across customer deployments to shape the product roadmap; Develop reusable technical assets such as notebooks and implementation guides.
Seniority
Senior, hands-on IC with customer-facing autonomy