Automation Engineer (AI)

TL;DR

Automation Engineer (Python/AI): Designing and developing automated metadata harvesting pipelines and integrating AI/ML capabilities for intelligent extraction with an accent on scalability, drift detection, and cloud-based AI services. Focus on building robust ETL/ELT processes, implementing Human-in-the-Loop validation workflows, and ensuring compliance with federal IT standards.

Location: Remote (USA), must be able to obtain Public Trust clearance

Company

A unique SDVOSB services company partnering with commercial healthcare/life sciences and government entities to deliver AI, automation, and data transformation solutions.

What you will do

• Design and develop automated metadata harvesting architecture and Python/SQL-based data pipelines.
• Integrate AI tools for intelligent metadata classification and tagging.
• Implement Human-in-the-Loop (HITL) validation workflows for AI-assisted harvesting.
• Deploy scalable metadata capture systems across enterprise environments.
• Develop drift detection and alerting mechanisms for metadata change management.
• Coordinate with QA teams to maintain high automation quality standards and resolve production pipeline issues.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or a related field.
• Minimum 5 years of professional experience in Python development and SQL.
• Experience with AI/ML integration and automation frameworks.
• Proficiency with data pipeline tools such as Apache Airflow or Prefect.
• Experience with cloud platforms (AWS or Azure) and their AI/ML services.
• Ability to obtain Public Trust clearance.

Nice to have

• Experience with Amazon Bedrock, Azure OpenAI, or RAG architecture patterns.
• Familiarity with FedRAMP-compliant cloud environments (GCC-High).
• Experience with SharePoint APIs and Microsoft Graph.
• Knowledge of metadata standards and experience with DoD or federal government IT systems.

Culture & Benefits

• Work environment guided by 10 core principles focused on transparency, people, and progress.
• Entrepreneurial culture that encourages thinking differently and being fearless.
• Opportunity to work with cutting-edge AI and automation in a fast-paced environment.
• Commitment to equal opportunity and non-discrimination.