AI ENGINEER

A Praxis Opportunity

Praxis Engineering, a GDIT company, provides cutting-edge technology capabilities and unmatched expertise to deliver mission-critical solutions that drive impact and support customer needs.

Clearance Level
Top Secret SCI + Polygraph
Category
Data Science and Data Engineering
Locations
Annapolis Junction, Maryland
Remote, Based in Maryland
(Hybrid Workplace)
Key Skills For Success

Agentic AI

AI Agents

Amazon Web Services (AWS)

REQ#: RQ227941
Public Trust: None
Requisition Type: Regular
Your Impact

Own your opportunity to serve as a critical component of our nation’s safety and security. Make an impact by using your expertise to protect our country from threats.

Job Description

AI ENGINEER

*** Up to 3 Days per week telework! ***

Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges as an AI Engineer.


MEANINGFUL WORK AND PERSONAL IMPACT


As an AI Engineer, the work you’ll do at GDIT will be impactful to the mission of a mission-critical customer. You will play a crucial role in designing, prototyping, and integrating AI-enabled capabilities into an existing mission - critical tool.

● Support the application of existing large language models (LLMs) to real mission workflows rather than training new models.

● Collaborate with system and software engineers
● Build agentic solutions, systems of coordinated AI agents and prompts that automate tasks currently performed manually, streamline authoring and reporting workflows, and enhance the overall effectiveness of intelligence operations.

WHAT YOU’LL NEED TO SUCCEED
Bring your expertise and drive for innovation to GDIT. The AI Engineer must have:


● Education: Bachelor of Arts/Bachelor of Science
● Experience: 8+ years of related experience
● Security clearance level: TS/ SCI W/ Polygraph
● US citizenship required

Responsibilities:

  • Agentic Solution Design & Development: Lead the design and development of AI-driven solutions from conception to deployment, building multi-agent workflows in which coordinated agents and prompts work together to produce outputs supporting reporting and dissemination. This includes prototyping, writing production-quality code, and maintaining deployed AI capabilities.

  • LLM Integration: Integrate existing foundation models into the RAD architecture via APIs and orchestration frameworks, selecting the right model and approach for each task rather than building models from scratch.

  • Prompt Engineering & Workflow Automation: Design, test, and refine prompts and agent instructions to reliably automate manual tasks, and decompose complex mission workflows into discrete steps an agent pipeline can execute.

  • Evaluation & Reliability: Develop robust testing, evaluation, and validation strategies for AI-generated outputs, ensuring accuracy, consistency, and appropriate handling of edge cases before outputs reach analysts and reports.

  • Collaboration & Communication: Serve as a key technical liaison, collaborating with cross-functional teams including system engineers, software developers, and domain experts. Effectively present and articulate recommended AI approaches, discussing the tradeoffs and implications of different implementations with both technical and non-technical stakeholders.

  • Continuous Improvement: Stay current with the rapidly evolving LLM and agentic AI landscape (new models, orchestration frameworks, and tooling), continuously identifying practical opportunities to apply emerging capabilities to the system.

Required Technical Skills:

  • Strong Python development skills, with experience writing production-quality, maintainable code

  • Hands-on experience building applications on top of existing LLMs (e.g., via APIs for commercial or self-hosted models)

  • Experience designing multi-agent or multi-step AI workflows, including prompt chaining, tool use, and agent orchestration (e.g., LangChain, LlamaIndex, or custom frameworks)

  • Strong prompt engineering skills and experience evaluating/validating LLM outputs

  • Experience integrating AI capabilities into existing software architectures (RESTful APIs, microservices)

  • Experience with the Amazon Web Services (AWS) cloud computing platform

Desired Technical Skills:

  • Experience with retrieval-augmented generation (RAG) pipelines and vector databases

  • Familiarity with LLM observability and evaluation tooling

  • Experience conducting exploratory data analysis on structured and unstructured datasets to prepare inputs for AI workflows

  • Familiarity with MLOps/LLMOps practices for deploying and monitoring AI capabilities at scale

  • Familiarity with domain knowledge surrounding government agency reporting and dissemination policies


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
● 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.

#MD_Alumni2026

#IntelligenceEngineered

#praxisjobs

Work Requirements

Years of Experience

5 + years of related experience

* may vary based on technical training, certification(s), or degree

Certification

Travel Required

None

Citizenship

U.S. Citizenship Required

Salary and Benefit Information

The likely salary range for this position is $165,750 - $224,250. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
View information about benefits and our total rewards program.

Our Identity Verification Process

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.

Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans