Senior AI Technologist

This is a fully remote position, open to applicants in New Mexico, +1 more state.

📋 Description

• Lead the exploration, design, and implementation of enterprise AI capabilities throughout the organization.

• Recognize, assess, and prioritize chances to incorporate AI into both existing and new organizational processes and tools.

• Create and implement data structures, metadata models, naming conventions, and standards for information architecture that facilitate scalable AI solutions.

• Assist in the onboarding of new AI initiatives by determining data requirements, evaluating data readiness, and outlining ingestion and preparation workflows.

• Establish procedures to evaluate and enhance ongoing data quality, consistency, completeness, and accuracy across AI datasets and workflows.

• Specify and support data preparation, ingestion, and retrieval workflows that empower production AI applications, retrieval-augmented generation (RAG), and AI agent solutions.

• Work in collaboration with technical and business stakeholders across various divisions to comprehend data sources, use cases, and operational limitations.

• Generate and maintain documentation for data standards, transformation logic, onboarding processes, and quality controls.

• Collaborate with AI, software, platform, and security teams to ensure that data workflows are scalable, secure, and in alignment with organizational goals.

⛳️ Requirements

• A bachelor’s degree in computer science, Data Engineering, Information Systems, Engineering, Mathematics, or a related STEM discipline.

• 8-10 years of engineering experience.

• Over 3 years of experience in supporting AI, natural language processing, RAG, and related technologies.

• Proficiency in preparing and transforming data for analytics, machine learning, search, or AI-enabled applications.

• Experience in designing vector databases and retrieval pipelines.

• Familiarity with developing MCP Servers and Clients.

• Knowledge of data quality management practices, including validation, normalization, deduplication, and error handling.

• Experience with AI platforms, Kubernetes, and cloud AI environments (such as Azure Foundry, AWS Bedrock).

• Strong background in developing AI solutions using Python, Golang, or Typescript.

• Excellent analytical, troubleshooting, and documentation skills.

• Strong communication skills and the ability to collaborate effectively with cross-functional teams.

🏝️ Benefits

• Health insurance

• Flexible working arrangements

• Professional development opportunities