Senior Solutions Architect II - AI/ML
Tasks
- Advise customers on best practices
- Conduct architecture reviews
- Conduct technical consultations
- Contribute to documentation
- Coordinate escalations with engineering and support
- Create success plans for customers
- Deliver product demos
- Deploy and fine-tune Large Language Models
- Design customer solution architecture
- Develop tooling for premium support customers
- Drive cost reduction and performance improvements
- Implement infrastructure management best practices
- Integrate databases and services
- Manage AI data pipelines
- Optimize GPU workloads
- Partner with customer success for retention and expansion
- Perform proof-of-concept
- Provide workshops and training
- Resolve technical blockers
- Secure and optimize cloud resources
- Uncover customer technical needs
Perks/Benefits
- Conference reimbursement
- Employee assistance program
- Flexible time off
- LinkedIn Learning
- Local Employee Meetups
- Remote work
- Training reimbursement
Skills/Tech-stack
Artificial Intelligence | CI/CD | CUDA | Cloud infrastructure | Data Pipelines | Database Integration | Deep learning | DevOps | Distributed Systems | Docker | FP8 | Fine Tuning | GPU Optimization | GPU Workloads | GenAI | Hugging Face | INT4) | INT8 | Kubernetes | LLM Deployment | Language Models | Large Language Models | Linux | Machine Learning | NFS | Object storage | Post-sales | Post-sales consulting | PyTorch | Quantization | Sales Consulting | Technical documentation | TensorFlow | TensorRT | Terraform | VLLM
Education
N/A
Roles
AI | AI Solutions | AI Solutions Architect | Architect | Solutions Architect
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