As a Sr. Principal Applied Scientist- AI on the Applied AI team, you will develop advanced machine learning solutions, including LLM applications, agentic workflows, and Retrieval-Augmented Generation architectures to solve complex enterprise problems. You will build context layers, semantic foundations, and knowledge graphs while developing algorithms for reinforcement learning, adversarial generation, and data augmentation for auto-evaluation. Your daily work involves designing and deploying AI-driven applications, optimizing models for production environments, and integrating solutions with GenAI products. The role requires expertise in Python, machine learning libraries, and high-performance systems. You will utilize tools such as Crew.ai, Langchain, and Oracle Vector Database to build scalable intelligent automation. This position focuses on the technical challenge of creating robust, enterprise-scale AI agents and reliable reasoning capabilities within a production-ready environment for large-scale corporate customers.
What does a Applied Scientist earn?
Median $208800 from 47 postings across 10 companies.
Machine Learning
Large Language Models (LLMs)
Deep Learning
Azure
AI Safety
Supervised Fine-Tuning
Distillation
Policy Optimization
Distributed Systems
Algorithms
Software Engineering
Predictive Analytics
Statistics
Data Science
Large Language Models
Information Retrieval
Ranking Systems
Agentic AI
Retrieval-Augmented Generation
Supervised Fine-Tuning
Preference Optimization
Model Distillation
Machine Learning
A/B Testing
Distributed Training
Search Engines