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ARA

Senior AI Technologist

ARA

. Identify, evaluate, and prioritize opportunities to integrate AI into existing and new organizational processes and tooling .

Posted 4/4/2026full-timeRaleigh • New Mexico, North Carolina • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies
AWSAzureCloudGoKubernetesPythonTypeScript

About the role

Key responsibilities & impact
  • Identify, evaluate, and prioritize opportunities to integrate AI into existing and new organizational processes and tooling
  • Design and implement data structures, metadata models, naming conventions, and data standards to support AI and machine learning initiatives
  • Support onboarding new AI projects by identifying data requirements, assessing data readiness, and defining ingestion and preparation workflows
  • Develop processes to measure and improve ongoing data quality, consistency, completeness, and accuracy across AI datasets and workflows
  • Build and maintain data preparation pipelines to support model training, testing, retrieval, and operational AI applications
  • Collaborate with technical and business stakeholders across divisions to understand data sources, use cases, and operational constraints
  • Create and maintain documentation for data standards, transformation logic, onboarding procedures, and quality controls
  • Partner with AI, software, platform, and security teams to ensure data workflows are scalable, secure, and aligned with organizational objectives

Requirements

What you’ll need
  • Bachelor’s degree in computer science, Data Engineering, Information Systems, Engineering, Mathematics, or a related STEM field
  • 8-10 years of engineering experience
  • 3+ years of experience supporting AI, natural language processing, RAG, and related solutions
  • Experience preparing and transforming data for analytics, machine learning, search, or AI-enabled applications
  • Experience designing vector databases and retrieval pipelines
  • Experience developing MCP Servers and Clients
  • Understanding of data quality management practices, including validation, normalization, deduplication, and error handling
  • Experience working with AI platforms, Kubernetes, and cloud AI environments (Azure Foundry, AWS Bedrock)
  • Strong experience developing AI solutions in Python, Golang, or Typescript
  • Strong analytical, troubleshooting, and documentation skills
  • Active Secret clearance preferred, or ability to obtain and maintain a Secret clearance

Benefits

Comp & perks
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
data structuresmetadata modelsdata standardsdata quality managementvector databasesretrieval pipelinesMCP ServersPythonGolangTypescript
Soft Skills
analytical skillstroubleshooting skillsdocumentation skillscollaborationcommunication
Certifications
Bachelor’s degreeActive Secret clearance