AI Engineer Principal - GDIT AI COE
gditFalls Church (VA)
AI Engineer Principal - GDIT AI COE
Posted 13 days ago
gditFalls Church (VA)
SENIORITY
Lead
About the role
AI Engineer Principal
Location: Any Location / Remote Full Part/Time: Full time
Job Qualifications:
Skills: Large Language Model (LLM) Fine-Tuning, Large Language Models (LLMs), Machine Learning Algorithms, Machine Learning Methods Certifications: None Experience: 8 + years of related experience US Citizenship Required: NoJob Description: GDIT is growing our AI Center of Excellence, and we are seeking an AI Engineer Principal. As a key member of our team, you will apply your AI and machine learning knowledge to build actionable solutions, while also developing compelling briefings and proposal materials for our diverse clientele. Your contributions will directly influence our research and development investments, technical proposals and presentations, ensuring we present AI-driven strategies. Additionally, you will play a pivotal role in planning and executing prototyping and technical implementations, while providing professional consultation to both external clients and internal stakeholders. Meaningful Work and Personal Impact As an AI Engineer Principal in the AI Center of Excellence, the work you'll do at GDIT will be impactful to vital national missions. You will play a crucial role in bringing the power of Generative and Agentic AI to our research and development efforts, existing programs, and new programs. Support implementation of Agentic AI workstreams and platforms. Support implementation of AI Security features and platforms. Collaborate with Cyber and Mission Software teams to integrate AI in their missions Drive innovation and growth by supporting the development of new capabilities Utilize LLMs, Generative AI, RAG, Agents, MCP, and related AI methods Professionally consult with external clients and internal stakeholders. What You'll Need to Succeed Bring your expertise and drive for innovation to GDIT. The AI Engineer Principal must have:
Education: Bachelor of Arts/Bachelor of Science
Experience: 8+ years of related experience
Technical skills: Artificial Intelligence, Generative AI, Data Science, AI-Assisted Programming
Role requirements:
- Expertise in AI/ML, Generative AI, and Agent-based AIExpertise in data science and data engineering best practices, tools, and techniques.
- Experience with Cloud Services AI and Data Services
- Experience with data integration, data migration, analysis and visualization.
- Experience in client relationship management & requirements gathering, and an ability to translate technical requirements for client and internal stakeholders.
- GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at the center of everything we do.
- Growth: AI-powered career tool that identifies career steps and learning opportunities
- Support: An internal mobility team focused on helping you achieve your career goals
- Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
- Flexibility: Full-flex work week to own your priorities at work and at home
- Community: Award-winning culture of innovation and a military-friendly workplace
- Own Your Opportunity Explore a career in data science and engineering at GDIT and you'll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.