Job Description

AI Engineer

Direct - Hire
100% onsite
Local Candidates Only
Richmond, VA
Start Date: November 2025


No C2C Candidates!


ESSENTIAL FUNCTIONS

60% Development:
 Design, develop, and implement AI and machine learning models for a variety of business applications, including data analysis, predictive modeling, and automation.
 Collaborate with data scientists and software engineers to integrate AI solutions into existing systems and platforms.
 Ensure the scalability and performance of AI models by optimizing algorithms and utilizing cloud infrastructure.
 Document and communicate the results, performance, and limitations of AI models to non-technical stakeholders.
 Stay up to date with the latest AI research papers, industry trends, and tools to drive continuous improvement of AI processes.

20% Continuous Improvement:
 Conduct thorough research on the latest AI technologies, trends, and best practices to ensure the company stays at the forefront of AI advancements.
 Implement and maintain machine learning pipelines, from data preprocessing to model deployment.
 Troubleshoot and resolve issues related to AI models, ensuring they meet the desired accuracy and performance standards.

20% of Leadership and Relationships:
 Collaborate with business leaders and stakeholders to understand specific AI use cases and requirements, translating these into actionable solutions.
 Provide technical guidance and support to junior team members, helping them grow their skills in AI technologies.

TOP REQUIREMENTS
 Strong communications
 Critical Thinking 
 Extensive experience with Cloud Platforms
 Strong foundation in math and statistics 

MINIMUM REQUIREMENTS

Preferred Certifications:
 Google Cloud Professional Data Engineer
 Microsoft Certified: Azure AI Engineer Associate
 TensorFlow Developer Certificate
 AWS Certified Machine Learning – Specialty

Work Experience:
 Minimum of 3 years of experience in AI/ML development or similar roles.
 Proven experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
 Strong background in programming languages like Python, Java, or C++.
 Experience with big data tools and technologies (e.g., Hadoop, Spark).
 Experience with automating AI model training, deployment pipelines, and optimization processes.

Behavioral Competencies:
 Ability to analyze complex technical issues and create effective solutions.
 Ability to work cross-functionally with engineers, data scientists, and product teams.
 Strong verbal and written communication skills for conveying technical concepts to non-technical stakeholders.
 Open to new approaches and rapidly changing environments.

Technical Competencies:
 Strong understanding of supervised and unsupervised learning techniques, deep learning, reinforcement learning, and NLP.
 Experience in data preprocessing, feature extraction, and transforming raw data into usable formats.
 Knowledge of cloud platforms (AWS, Azure, GCP) and experience in deploying AI models on cloud.
 Proficient in software development practices, version control (Git), and testing frameworks.
 Strong foundation in statistics, linear algebra, and probability, which are fundamental for AI algorithms.

Required Education:

 Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
Preferred Education:
 Master’s or Ph.D. in Artificial Intelligence, Machine Learning, Data Science, or a related
advanced field.