Senior Solutions Architect II - AI/ML
Tasks
- Advise customers on cloud best practices
- Conduct architecture reviews
- Coordinate escalations with engineering and support
- Create customer success plans for retention and expansion
- Deliver customer demos
- Deploy and fine-tune Large Language Models
- Design customer tailored architectures
- Develop AI ML solution architectures
- Drive process improvements
- Gather customer technical requirements
- Implement infrastructure management best practices
- Manage AI data pipelines
- Optimize GPU workloads
- Optimize cloud cost and performance
- Perform proof-of-concept
- Present product benefits and technical solutions
- Resolve technical onboarding blockers
- Run technical consultations workshops and training
Perks/Benefits
- Conference reimbursement
- Employee assistance program
- Flexible time off
- LinkedIn Learning access
- Remote work
- Training reimbursement
Skills/Tech-stack
Artificial Intelligence | CI/CD | CUDA | CUDA toolkit | Chatbots | Cloud infrastructure | Data Pipelines | Database Integration | Deep learning | DevOps | Distributed Systems | Docker | FP8 | Fine Tuning | GPU Optimization | GenAI | Hugging Face | INT4) | INT8 | Inference services | Kubernetes | LLM Deployment | LLM Fine-tuning | Language Models | Large Language Models | Linux | Machine Learning | Managed databases | NFS | Object storage | PyTorch | Quantization | Recommendation Systems | TensorFlow | TensorRT | Terraform | VLLM
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
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