Predictive Science - AI Engineering & Prompt Architecture Lead - Vice President
Tasks
- Architect agentic multi step AI workflows
- Build evaluation infrastructure with benchmark datasets
- Debug and remediate prompt failures
- Define confidence calibration and human escalation logic
- Define technical vision and architecture reviews
- Design RAG architectures for financial documents
- Design prompt and model evaluation frameworks
- Guide model selection and optimization
- Lead and develop prompt engineering and AI ML teams
- Operationalize prompt lifecycle management
- Oversee fine tuning and training workflows
- Produce governance ready documentation for explainability and auditability
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Attention | B testing | CI/CD | Chunking | Confidence Calibration | Constrained decoding | Context window | DPO | Dense retrieval | Embeddings | Embeddings Tradeoffs | Fine Tuning | Function Calling | Hallucination detection | Hugging Face | Human-in-the-loop | Hybrid retrieval | Instruction Tuning | JSON | Knowledge Base | LLM | LLM-as-judge | Langchain | Llamaindex | LoRA | Model Evaluation | PGVector | Pinecone | Prompt engineering | PyTorch | Python | QLoRA | RAG | RLHF | Re-ranking | Regression testing | Retrieval-Augmented Generation | Schema Validation | Sparse Retrieval | Temperature Sampling | The Loop | Tokenization | Vector Databases | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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