Art of the possible.
Agentic AI Engineer
Location
United States
Posted
1 day ago
Salary
$147K - $198K / year
Seniority
Mid Level
Job Description
Type of Requisition:
RegularClearance Level Must Currently Possess:
NoneClearance Level Must Be Able to Obtain:
NonePublic Trust/Other Required:
NoneJob Family:
Data Science and Data EngineeringJob Qualifications:
Skills:
AI Systems, Artificial Intelligence (AI), Data Science, Machine Learning (ML), Python (Programming Language)Certifications:
NoneExperience:
5 + years of related experienceUS Citizenship Required:
NoJob 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 one+ years of experience developing products or functional prototypes using RAG and agentic AI technologies, we WANT 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.
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: Remote
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
Flexibility: Full-flex work week to own your priorities at work and at home
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.
#GDITPriority #gditAIJOBS
The likely salary range for this position is $147,050 - $198,950. 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:
40Travel Required:
Less than 10%Telecommuting Options:
RemoteWork Location:
Any Location / RemoteAdditional 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. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. 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.Join our Talent Community to stay up to date on our career opportunities and events atEqual Opportunity Employer / Individuals with Disabilities / Protected VeteransRelated Guides
Related Job Pages
More AI Engineer Jobs
Senior AI Engineer
Twin HealthTwin Health invented the Whole Body Digital Twin™ to help reverse and prevent chronic metabolic diseases.
Drive the end-to-end lifecycle of AI products, from ideation and prototyping to deployment and optimization, applying advanced techniques like Prompt Engineering and deep learning to create personalized solutions. Build and improve ML models to drive behavior change for sustained improvements in metabolic health across a diverse member base.
Senior AI/ML Engineer
Mayo ClinicHeadquartered in Rochester, Minnesota, Mayo Clinic is a nonprofit medical institution ranked first in more specialties than all other hospitals in America. The
This role involves leading component design, development, and integration for AI-driven solutions that enhance patient care and clinic operations, while collaborating with multidisciplinary teams to translate user needs into technical specifications. The engineer will leverage advanced machine learning techniques to design, develop, and deploy end-to-end AI solutions for healthcare applications.
About the RoleThe AI Strategy Lead is the chief architect of use-cases and AI solution logic within the practice. This person’s purpose is to identify, scope, and design intelligent assistants and agents that solve specific business problems, ensuring ...
The role involves designing, developing, and deploying scalable AI/ML models using advanced concepts like Agents, RAG, and Transformers to enhance platform capabilities. Key tasks include leveraging AWS SageMaker, Databricks, and ETL pipelines to build robust ML pipelines while ensuring adherence to HIPAA and SOC 2 compliance.



