Diné Development Corporation
AI

AI Engineer

Diné Development Corporation · Remote, US

Actively hiring Posted 4 months ago

Job Summary::

The AI Engineer will support the International Trade Administration (ITA) AI Center of Excellence (AI-CoE) by delivering end-to-end artificial intelligence solutions across the full system lifecycle. This role focuses on model development, data handling, deployment, optimization, and integration of AI capabilities within secure, cloud-based federal IT environments.

This position is contingent upon contract award.

Job Duties and Responsibilities: :

  • Design, develop, test, and deploy AI and machine learning models.
  • Manage data ingestion, preprocessing, validation, and feature engineering.
  • Build, deploy, and maintain AI infrastructure and pipelines.
  • Optimize model performance, scalability, and reliability.
  • Automate workflows and integrate AI solutions with enterprise systems.
  • Monitor models in production and implement continuous improvements.
  • Collaborate with product owners, developers, and data teams in SAFe Agile environments.
  • Ensure solutions align with federal security, compliance, and governance requirements.
  • Maintain technical documentation and operational runbooks.
  • Other duties as assigned.

Job Requirements (Education/Skills/Experience)::

  • U.S. Citizenship (required). Ability to obtain and maintain a NACI or higher background investigation.
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience).
  • Minimum 2 years experience
  • Experience across the AI system lifecycle including development and deployment.
  • Proficiency with machine learning frameworks and programming languages.
  • Experience working in Agile or SAFe delivery environments.

Desired Qualifications:

  • Master’s degree in a technical field.
  • Experience with cloud platforms (AWS, Azure, or GCP).
  • Familiarity with MLOps, CI/CD pipelines, and automation tools.
  • Experience supporting federal or public-sector IT programs.
  • Knowledge of AI governance, ethics, and security best practices.

Work Location: Remote preferred with occasional on-site support in Washington, DC, as required.

This contractor and subcontractor shall abide by the requirements of 41 CFR 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity, national origin, or for inquiring about, discussing, or disclosing information about compensation, or any other basis prohibited by law. We participate in E-Verify.

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Remote Ai Ai Engineer Machine Learning
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.