Senior Applied AI Scientist Remote – NLP & Vector Search

Insight Global; Dayton (OH); Remote; USD 150,000 - 190,000; Full time

Job summary

Insight Global seeks an Applied AI Scientist IV to serve as a senior technical leader, building production AI systems with a focus on NLP, LLMs, RAG, embeddings, and vector search. You will mentor data scientists, steer projects from requirements to delivery, and drive architecture improvements across teams.

The role emphasizes hands-on leadership, governance of AI deployments, and working with unstructured healthcare or regulated data. Remote-first with ET schedule preference.

Qualifications

• 8+ years of experience in Data Science, Machine Learning, Predictive Analytics, or Applied AI.
• Experience building production AI solutions using NLP, LLMs, RAG, embeddings, and vector search.
• Experience with Python and/or R, SQL, and large complex datasets.
• Experience with cloud/data platforms such as Databricks, AWS, Azure, GCP, or Snowflake.
• Experience with unstructured data/document intelligence.
• Ability to lead projects and mentor Data Scientists.
• Healthcare data experience preferred.
• Master's degree or higher.

Responsibilities

• Provide technical direction and mentorship to Data Scientists.
• Lead projects from requirements through delivery.
• Develop and operationalize advanced AI solutions with NLP/LLMs/RAG.
• Evaluate architectures and improve production AI systems.
• Collaborate across teams to deploy scalable AI solutions.

Skills

NLP

LLMs

RAG

Vector search

Embeddings

Document intelligence

Predictive analytics

Python

SQL

Databricks

AWS

Azure

GCP

Neo4j

MLOps

Responsible AI

Education

Master's degree

Bachelor's degree

Tools

Databricks

Neo4j

AWS

Azure

GCP

Snowflake

Job description

Insight Global seeks an Applied AI Scientist IV to serve as a senior technical leader, building production AI systems with a focus on NLP, LLMs, RAG, embeddings, and vector search. You will mentor data scientists, steer projects from requirements to delivery, and drive architecture improvements across teams.

The role emphasizes hands-on leadership, governance of AI deployments, and working with unstructured healthcare or regulated data. Remote-first with ET schedule preference.