Agentic AI Engineer

Job Summary

Agentic AI Engineer – design, develop and deploy AI models, algorithms and systems to enhance productivity, decision‑making and automation. As an Agentic AI Engineer at GDIT you will work on assembling production‑grade multi‑agent AI solutions, building end‑to‑end pipelines, and collaborating with cross‑functional teams to deliver impactful solutions.

• 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 enhance people‑powered, AI‑enabled productivity.
• Provide unified observability with logging, metrics and alerts; 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.
• Stay updated on emerging AI technologies and recommend improvements to existing AI systems.

• Bachelor’s degree in Computer Science, Computer Engineering, Data Science or a related field.
• 5+ years of experience in AI and machine learning, including hands‑on design, development, and deployment of AI models and systems.
• 1+ year of experience developing products or prototypes using Retrieval‑Augmented Generation (RAG) and agentic AI technologies.
• Designed and/or implemented a hands‑on agentic workflow solution (beyond simple prompt engineering).
• Proven track record of delivering end‑to‑end AI projects and successfully integrating AI solutions into business processes.
• Proficiency in Python, R or Java, and deep understanding of machine learning frameworks such as Tensor Flow or PyTorch.
• Hands‑on experience with agentic frameworks such as MCP, Lang Graph, Llama Index or similar.
• Strong knowledge of prompt or context engineering, tool definition and state management for agents.
• Experience with cloud platforms (Azure preferred, OCI, AWS or Google Cloud) and AI services such as Azure AI Foundry, Bedrock or Vertex AI.
• Strong background in working with large datasets and performing data preprocessing, feature engineering and model evaluation.
• Preferred:
  Master’s degree or advanced coursework/certification in AI or Machine Learning.
• Location:
  
  Hybrid – 3 days in the Falls Church office.
• US Persons only – required.

The likely salary range for this position is $169,604 – $229,464. Compensation will be based on experience, geographic location and contractual considerations and may fall outside this range.

• 40 scheduled weekly hours.
• Less than 10% travel.
• Hybrid telecommuting options.
• Comprehensive benefits package including medical, dental, vision, 401(k) with company match, paid time off, disability, life and travel insurance.
• Full flex work weeks where possible and a variety of paid leave options.
• Growth opportunities through an AI‑powered career tool and internal mobility team.
• Support for professional development and learning.
• Competitive pay and wellness programs.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans