AI Engineer

D. Kent Consulting Group, LLC•Springfield , VA

40d•Remote

About The Position

DKC Group is seeking a seasoned AI SME / AI Systems Engineer to support federal clients as they evaluate, design, and implement practical AI solutions in mission environments. This role is ideal for an experienced AI professional who wants to apply deep technical and federal market expertise in a flexible, half-time role with an expected commitment of 40 hours or less per month. If you understand how to translate mission needs into AI use cases, technical approaches, and implementation strategies and you are comfortable advising in federal environments-- we would like to hear from you.

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field
Proven experience in machine learning, deep learning, or AI engineering
Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn
Experience with NLP, LLMs, or generative AI tools (e.g., OpenAI, Hugging Face)
Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps practices
Strong analytical and problem-solving skills with attention to detail
Excellent communication skills and ability to present technical concepts to non-technical stakeholders

Nice To Haves

Master’s degree in a related field
Federal AI strategy, digital transformation, or data modernization experience
Familiarity with Responsible AI and AI governance
Consulting experience supporting government clients

Responsibilities

Design, develop, and deploy machine learning models and AI-powered applications
Collaborate with cross-functional teams to identify and implement AI/ML solutions for client needs
Build and maintain data pipelines, model training workflows, and inference systems
Evaluate and integrate large language models (LLMs), generative AI tools, and emerging AI frameworks
Monitor model performance, conduct testing, and iterate on improvements
Document technical architectures, methodologies, and best practices
Stay current with AI/ML research and translate advancements into practical applications