Senior AI Technologist

ARA

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

Posted 5/1/2026full-timeRemote • 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

Benefits

Comp & perks

Remote work options
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data structuresmetadata modelsdata standardsdata quality managementvector databasesretrieval pipelinesMCP ServersPythonGolangTypescript

Soft Skills

analytical skillstroubleshooting skillsdocumentation skills

Certifications

Bachelor’s degree in computer scienceBachelor’s degree in Data EngineeringBachelor’s degree in Information SystemsBachelor’s degree in EngineeringBachelor’s degree in Mathematics