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Applied AI Scientist IV

Insight Global

Remote · USJobSeen 4 days agoSeen in employer's feed 4 days ago

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At a glance

Compensation
No compensation found
Location
Remote · US
Work Authorization
Not specified

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Job overview

The Applied AI Scientist IV will serve as a senior, hands-on technical leader building and operationalizing advanced AI solutions. The role focuses on production-grade systems involving NLP, RAG, LLMs, embeddings, vector search, document intelligence, and predictive analytics. The scientist will evaluate approaches, recommend architectures, lead projects from requirements through delivery, and provide technical direction and mentorship to Data Scientists. The position is 100% remote, with minimal occasional travel.

Skills & qualifications

RequiredNice to have

Skills

Data ScienceMachine LearningPredictive AnalyticsApplied AINatural Language ProcessingLarge Language ModelsRetrieval-Augmented GenerationEmbeddingsVector SearchPythonRSQLDatabricksAWSAzureGCPSnowflakeUnstructured DataDocument IntelligenceAI ArchitectureProduction DeploymentTechnical LeadershipProject LeadershipMentoringHealthcare DataRegulated IndustriesHealthcareManaged CareHealth InsuranceNeo4jGraph DatabasesAgentic AISmall Language ModelsMLOpsLLMOpsAI GovernanceResponsible AIClaims DataEMR DataHIE Data

Qualifications

8+ Years ExperienceBachelor's or Equivalent ExperienceMaster's Degree

Full job description

Job Description

Our Client is seeking an Applied AI Scientist IV to serve as a senior, hands-on technical leader focused on building and operationalizing advanced AI solutions. This person will work heavily with NLP, RAG, LLMs, embeddings, vector search, document intelligence, and predictive analytics while providing technical direction and mentorship to other Data Scientists.

This is not a chatbot or prompt-engineering role. The ideal candidate has built complex, production-grade AI systems and can evaluate existing approaches, recommend better architectures, and lead projects from requirements through delivery.

Location: 100% Remote Schedule: Eastern Time preferred; flexibility for strong candidates Travel: Minimal/occasional

Skills and Requirements

8+ years of experience in Data Science, Machine Learning, Predictive Analytics, or Applied AI Advanced experience building production AI solutions using NLP, LLMs, RAG, embeddings, and vector search Strong traditional machine learning and predictive analytics foundation 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 working with unstructured data/document intelligence Experience taking AI solutions from architecture/design through production deployment Ability to serve as a technical/project lead, mentor Data Scientists, and drive projects through delivery Experience handling sensitive/person-level data in healthcare or another regulated industry Bachelor's degree or equivalent relevant experience Healthcare, managed care, or health insurance experience Databricks Neo4j / graph databases Agentic AI and Small Language Models MLOps / LLMOps AI governance / Responsible AI Healthcare data experience including claims, EMR, HIE, or population data Master's degree

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].

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