Senior Applied AI Solutions Engineer
Core
Help enterprise customers move complex machine learning workloads from proof of concept into production while building prototypes and exploring emerging AI techniques.
Role type
Senior Applied AI Solutions Engineer (IC)
Builds
Polished prototypes, technical demonstrations, reference architectures, and implementation guides for serverless inference, databases, and agentic AI applications.
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 production RAG/agentic pipelines, GPU-based inference optimization, PyTorch, Hugging Face, CUDA fundamentals, Kubernetes for ML, MLflow, vector databases
Preferred skills
Physical AI, robotics, simulation, drug discovery, medical imaging, clinical NLP, large-scale MLOps (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 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 technical write-ups and product feedback; Identify recurring issues across customer deployments to shape the product roadmap; Develop reusable technical assets to reduce onboarding friction
Seniority
Senior, hands-on IC