Agentic AI Engineer

Public Trust: None

Requisition Type: Pipeline

Your Impact

Own your opportunity to be at the center of GDIT’s business operations. Make an impact by collaborating across functions to make mission success achievable.

Job Description

As an Agentic AI Engineer, you will be responsible for designing, developing and deploying AI models, algorithms and systems to enhance productivity, decision-making and automation within the organization.

If you have 1+ years of experience developing products or functional prototypes using RAG and agentic AI technologies, we want to speak with you!

MEANINGFUL WORK AND PERSONAL IMPACT
As an Agentic AI Engineer, the work you’ll do at GDIT will be impactful to the mission.

• Architect and implement production-grade multi-agent AI solutions with modern orchestration frameworks, enabling reliable, transparent, and secure agentic workflows

• Build and maintain end-to-end agentic AI pipelines, from data ingestion and embedding to deployment and continuous evaluation, optimized for reusability and scalability

• Develop, test, and deploy internal AI applications that enhances people-powered, AI-enabled productivity

• Provide unified observability with logging, metrics, and alerts and analyze agent runtime behavior to tune latency, accuracy, and cost in production

• Integrate agentic AI services with existing enterprise systems and uphold AIOps practices for consistent deployment and scaling

• Collaborate with cross-functional teams including data scientists, software engineers, and product / service owners to align AI projects with business goals

• Must stay updated on emerging AI related technologies and recommend improvements to existing AI systems

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

• Education : Bachelor’s Degree in Computer Science, Computer Engineering, Data Science or a related field

• Experience :

• 5+ years of experience in AI and machine learning, including hands-on experience with designing, developing, and deploying AI models and systems.

• 1+ years of experience developing products or functional prototypes using RAG and agentic AI technologies.

• Must have designed and/or implemented hands-on an agentic workflow solution (not just simply prompt engineering to LLMs)

• Role requirements :

• Proven track record of delivering end-to-end AI projects and successfully integrating AI solutions into business processes.

• Proficiency in programming languages such as Python, R, or Java, and deep understanding of machine learning frameworks like TensorFlow or PyTorch.

• Strong hands-on experience with MCP, LangGraph, LlamaIndex, or similar agentic frameworks.

• Deep understanding of prompt or context engineering, tool definition, and state management for agents.

• Experience with cloud computing platforms, such as Azure (Preferred), OCI, AWS, or Google Cloud, including AI services like Azure AI Foundry, Bedrock, or Vertex AI.

• Strong background in working with large datasets and performing data preprocessing, feature engineering, and model evaluation.

• Preferred Skills and Abilities: Masters degree. Advanced coursework or a Certification in AI, Machine Learning or related areas desirable

• Location: Hybrid 3 days in Falls Church office

• US Persons required

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.

Work Requirements

Years of Experience

5 + years of related experience

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

Certification

Travel Required

Less than 10%