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AI Engineer

Collabera LLCReston, VA🇺🇸United StatesPosted 26 Aug 2026

Quick Overview

Salary
$50 - $75/hr
Seniority
Mid Senior
Work mode
Hybrid
Location
Reston, VA, United States
Posted
23 hours ago
DockerETLMLOpsMachine LearningScikit-learnAzureDatabricksGenerative AIKubernetesPyTorchPythonTensorFlow

Job Description

Job Title: Artificial Intelligence Engineer
Location: Reston, VA 20190
Telework Type: Hybrid schedule.
Duration: 12 months
Pay Range: $50/hr - $75/hr


The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, (paid time , paid sick and safe time , hours of paid vacation time, weeks of paid parental leave, paid holidays annually - AS Applicable)

Position Summary



  • The Artificial Intelligence Engineer will design, develop, and deploy AI/ML solutions that enhance Client engineering, construction, and business processes.

  • This role bridges advanced technology and practical application, ensuring AI systems deliver measurable value across projects and functions.

  • The position requires strong technical expertise in AI and machine learning, combined with an understanding of engineering workflows and data governance.

    Responsibilities
    AI Solution Development

  • Design, build, and implement AI/ML models for predictive analytics, generative design, and automation.

  • Convert prototypes into production-ready applications using frameworks like TensorFlow, PyTorch, or Scikit-learn.

  • Data Engineering & Integration

  • Collaborate with data engineers to develop robust data pipelines and architectures.

  • Apply ETL techniques and big-data tools to cleanse, organize, and transform data for AI models.

  • Deployment & Optimization

  • Deploy AI models on cloud platforms (Azure AI/ML, Databricks) and integrate with Clients digital ecosystem.

  • Implement MLOps practices for lifecycle management, monitoring, and continuous improvement.

  • Collaboration & Stakeholder Engagement

  • Work with cross-functional teams (engineering, IT, project controls) to align AI solutions with business objectives.

  • Communicate complex AI concepts to non-technical stakeholders.

  • Governance & Compliance

  • Ensure AI solutions adhere to Clients security, ethics, and compliance standards.

  • Maintain documentation for models, processes, and decision-making.

  • Innovation & Continuous Learning

  • Stay current with emerging AI technologies (e.g., agentic AI, multimodal systems).

  • Contribute to Clients AI Center of Excellence initiatives and innovation programs.



Qualifications
Education:



  • Bachelor s degree in Computer Science, Data Science, Engineering, or related field.

  • Master s degree preferred.
    Experience:

  • 8 12 years of relevant experience in AI/ML development or 12 15 years of related work experience without a degree.


Technical Skills:



  • Proficiency in Python and AI frameworks (TensorFlow, PyTorch).

  • Experience with cloud platforms (Azure AI stack, Databricks).

  • Knowledge of MLOps, containerization (Docker/Kubernetes), and CI/CD pipelines.
    Domain Knowledge:

  • Understanding of engineering and construction workflows is a plus.
    Soft Skills:

  • Strong problem-solving, communication, and collaboration skills.



Preferred Skills



  • Familiarity with Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG).

  • Experience with knowledge graphs, agent-based AI systems, and predictive analytics.



Job Dimensions



  • Works under minimal supervision with latitude for independent judgment.

  • Handles issues of diverse scope within defined parameters.

  • May act as a technical lead on small projects or initiatives.

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