Agentic AI Engineer

Agentic AI Engineer

Location: USA VA Falls Church Full Part/Time: Full time Job Req: RQ217980 Type of Requisition: Pipeline Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: None Job Family: Data Science and Data Engineering Job Qualifications: Skills: AI Frameworks, AI Ops, Model Evaluation Certifications: None Experience: 5 + years of related experience US Citizenship Required: No

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.

Responsibilities:

• 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:

• 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.

The likely salary range for this position is $169,604 - $229,464. 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. Scheduled Weekly Hours: 40 Travel Required: Less than 10% Telecommuting Options: Hybrid Work Location: USA VA Falls Church Additional Work Locations: Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 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 capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.