Senior Solutions Architect II, AI/ML
Tasks
- Advise best practices for cloud solutions
- Build scalable AI applications with Kubernetes
- Build tools for Premium Support customers
- Conduct architecture reviews
- Conduct technical workshops and training
- Create success plans with customer success and sales
- Deliver proof of concepts
- Deploy and fine-tune Large Language Models
- Design tailored architectures
- Drive process improvements
- Gather customer technical requirements
- Identify cost reduction opportunities
- Maintain internal and external documentation
- Manage data pipelines and integrations
- Optimize GPU workloads
- Optimize cloud resources for security and performance
- Present product benefits and technical solutions
- Resolve escalations with engineering and support
- Resolve technical adoption blockers
- Run customer demos
- Support onboarding and customer guidance
Perks/Benefits
- Conference reimbursement
- Employee assistance program
- Flexible time off
- LinkedIn Learning
- Remote work
- Training reimbursement
Skills/Tech-stack
AI machine learning | CI/CD | CUDA | Cloud infrastructure | Data Pipelines | Databases | Deep learning | DevOps | Distributed Systems | Docker | FP8 | Fine Tuning | GPU Optimization | GPU Workloads | GenAI | Git | Hugging Face | INT4) | INT8 | Kubernetes | LLM Deployment | Language Models | Large Language Models | Linux | Machine Learning | Model Fine-tuning | MongoDB | MySQL | NFS | Object storage | PostgreSQL | PyTorch | Python | Quantization | Redis | TensorFlow | TensorRT | Terraform | VLLM
Education
N/A
Roles
AI | AI Solutions | AI Solutions Architect | Architect | Solutions Architect
Regions
Countries
States
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