Senior AI Technologist

🕒 May 1

🌶️ New Mexico, North Carolina – Remote

🌶️ New Mexico – Remote 🌲 North Carolina – Remote

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

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ARA

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🚀 Aerospace

🤖 Artificial Intelligence

🔬 Science

💰 $12M Grant on 2023-04

Aerospace • Artificial Intelligence • Science

ARA is a 100% employee-owned applied research and engineering company that provides technically rigorous solutions across national security, infrastructure, health, and energy domains. The firm specializes in C4ISR and space technologies, unmanned systems and autonomy, sensors and advanced security systems, AR/VR and synthetic environments, AI/ML, electromagnetics and explosive testing, biodefense and physiological modeling, and disaster risk and infrastructure engineering. ARA delivers research, engineering, prototyping, and mission-focused technical services to government and commercial customers.

📋 Description

• 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

• 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

• Remote work options • Professional development opportunities