Agentic AI Engineer

Posted 5 Days Ago
Hiring Remotely in Location, WV, USA
Remote
162K-219K Annually
Senior level
Aerospace • Information Technology • Professional Services • Security • Software
The Role
Design, develop, and deploy production-grade agentic AI solutions and RAG prototypes. Build end-to-end pipelines from data ingestion and embeddings to deployment, observability, and continuous evaluation. Integrate agentic services with enterprise systems, optimize runtime performance, and collaborate with cross-functional teams to align AI projects with business goals.
Summary Generated by Built In

Type of Requisition:

Regular

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 Systems, Artificial Intelligence (AI), Data Science, Machine Learning (ML), Python (Programming Language)

Certifications:

None

Experience:

5 + years of related experience

US Citizenship Required:

No

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 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.

  • 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: 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 $161,500 - $218,500. 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:

Remote

Work Location:

Any Location / Remote

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. 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.

 



Our Identity Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work:

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 26,000 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 at

gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Skills Required

  • Bachelor's Degree in Computer Science, Computer Engineering, Data Science or related field
  • 5+ years of experience in AI and machine learning, including designing, developing, and deploying AI models and systems
  • 1+ years developing products or functional prototypes using RAG and agentic AI technologies
  • Designed and/or implemented a hands-on agentic workflow solution (beyond prompt engineering)
  • Proficiency in Python, R, or Java
  • Experience with machine learning frameworks such as TensorFlow or PyTorch
  • Strong hands-on experience with MCP, LangGraph, LlamaIndex, or similar agentic frameworks
  • Deep understanding of prompt/context engineering, tool definition, and state management for agents
  • Experience working with large datasets, data preprocessing, feature engineering, and model evaluation
  • Experience with cloud platforms (Azure preferred; OCI, AWS, or Google Cloud) and AI services (Azure AI Foundry, Bedrock, Vertex AI)
  • US Persons required
  • Master's degree or advanced AI/ML coursework or certification

General Dynamics Information Technology Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about General Dynamics Information Technology and has not been reviewed or approved by General Dynamics Information Technology.

  • Affordable Benefits Pay and benefits are described as good or okay in multiple places, and the overall package is often portrayed as acceptable even when base pay is not viewed as top-tier.
  • Healthcare Strength Medical, dental, and vision plan options are presented as comprehensive, with additional protections like disability and life insurance contributing to a well-rounded health and protection offering.
  • Retirement Support A 401(k) plan with company match is consistently highlighted as part of the total rewards package, supporting longer-term financial planning.

General Dynamics Information Technology Insights

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The Company
HQ: Falls Church, VA
21,625 Employees

What We Do

We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done.

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