Senior AI Solutions Engineer – Customer Success and Deployment
Tasks
- Analyze telemetry and observability data to troubleshoot and improve production operations
- Benchmark and drive acceptance testing for model deployments
- Deploy validate and optimize large language models on Oracle GenAI Services and OCI
- Evaluate model behavior for domain use cases and mission critical requirements
- Optimize performance throughput latency TTFT scalability and resource efficiency
- Partner across engineering product operations security and support to resolve deployment issues
- Provide customer feedback to influence product direction and engineering roadmaps
- Recommend model selection prompting strategies and RAG architectures
- Serve as primary technical representative for Oracle during customer AI deployments
- Translate customer mission requirements into scalable AI deployment strategies
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Authentication & Authorization | Benchmarking | Cloud infrastructure | Containerization | Distributed Systems | Distributed Systems Troubleshooting | Embedding Models | GPU infrastructure | Generative AI | Inference architecture | Kubernetes | Language Models | Large Language Models | Model Adaptation | Model Evaluation | Monitoring | Networking | Nvidia AI | Observability | OpenAI Compatible | OpenAI Compatible APIs | Performance Engineering | Prompt engineering | Rate Limiting | Retrieval-Augmented Generation | Security | Systems Troubleshooting | Token Management | Vector Databases
Education
N/A
Roles
AI | AI Engineer | AI Solutions | AI Solutions Engineer | Engineer | Solutions Engineer
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