Agentic AI Engineer
About The Position
Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. 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. This position offers a hybrid work schedule; 3 days working in Falls Church, VA office 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
Requirements
- 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 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)
- 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.
- US Persons required
Nice To Haves
- Masters degree.
- Advanced coursework or a Certification in AI, Machine Learning or related areas desirable
- Azure (Preferred)
- OCI, AWS, or Google Cloud, including AI services like Azure AI Foundry, Bedrock, or Vertex AI.
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
Benefits
- AI-powered career tool that identifies career steps and learning opportunities
- An internal mobility team focused on helping you achieve your career goals
- Comprehensive benefits and wellness packages
- 401K with company match
- Competitive pay and paid time off
- Award-winning culture of innovation and a military-friendly workplace
- variety of medical plan options, some with Health Savings Accounts
- dental plan options
- a vision plan
- 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.
- full flex work weeks where possible
- a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave.
- 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.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
