AI Solutions Architect
San Jose, California, United States, United States
USD 209K-303K Senior-level Full Time
Tasks
- Add guardrails and evaluation frameworks
- Analyze ML models for FPGA implementation
- Apply prompt engineering patterns
- Build data ingestion and feature pipelines
- Build model serving and monitoring
- Build prototypes and proofs of concept
- Create technical documentation and diagrams
- Deliver production deployment designs
- Design AI ML reference architectures
- Design end-to-end AI solutions
- Develop generative AI solutions
- Implement RAG workflows
- Implement agentic workflows
- Implement model inference and evaluation
- Lead cross functional technical reviews
- Optimize models for FPGA performance
- Present solutions to technical and executive stakeholders
- Support pre sales demos and deep dives
- Translate requirements into scalable architectures
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agentic Workflows | Azure | Benchmarking | C++ | Cloud Architecture | Cloud platform | Data Pipelines | FPGA | Feature Engineering | Generative AI | Google Cloud | Google Cloud Platform | Guardrails | Llama CPP | Machine Learning | Machine Learning Calibration | Model Evaluation | Model Monitoring | Model Serving | Prompt engineering | PyTorch | Python | RAG | Statistics | TensorFlow | VLLM
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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