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Agentic Ai Jobs in Virginia (NOW HIRING)

Design, develop, and deploy agentic AI systems capable of autonomous reasoning, planning, and multi-step task execution. * Build and optimize Python-based frameworks and tools that support scalable ...

Design, develop, and deploy agentic AI systems capable of autonomous reasoning, planning, and multi-step task execution. * Build and optimize Python-based frameworks and tools that support scalable ...

Design, develop, and deploy agentic AI systems capable of autonomous reasoning, planning, and multi-step task execution. * Build and optimize Python-based frameworks and tools that support scalable ...

Lead Agentic AI Engineer

Mclean, VA ยท On-site

$140 - $210/hr

Design and operate agentic AI workflows. Build, refine, and maintain the agentic pipelines that support desk operations including triage, data retrieval, summarization, reporting, and escalation ...

Agentic AI Developer

Chantilly, VA ยท On-site

$69K - $125K/yr

Agentic AI Developer Who We Are: Kudu Dynamics is Leidos Owned Company, forged out of a decade of experience in computer network operations and staffed with talent who have built, overseen, and ...

Agentic AI Developer

Chantilly, VA ยท On-site

$69K - $125K/yr

Agentic AI Developer Who We Are: Kudu Dynamics is Leidos Owned Company, forged out of a decade of experience in computer network operations and staffed with talent who have built, overseen, and ...

Agentic AI Engineer

Mclean, VA ยท On-site

$99 - $225/hr

R0238708 Agentic AI Engineer We are looking for a highly skilled Agentic AI Engineer to join our team, specializing in building autonomous, goal-oriented AI systems. You will play a crucial role in ...

The AI/ML Engineer will work across the full AI development lifecycle, including data preparation, model development, agentic workflow design, evaluation, integration, deployment, and operational ...

... AI). You architect model-agnostic integration layers so clients aren't locked in, and you know how to select, swap, and benchmark models for specific agent tasks. Agentic architecture You understand ...

Agentic AI Engineer The Opportunity: We are looking for a highly skilledAgentic AI Engineerto join our team, specializing in building autonomous, goal-oriented AI systems. You will play a crucial ...

... AI). You architect model-agnostic integration layers so clients aren't locked in, and you know how to select, swap, and benchmark models for specific agent tasks. Agentic architecture You understand ...

You will be part of a team developing AI capabilities from simple Gemini Gems up to Agentic AI solutions . As part of the Digital Innovation Squad , you will be involved in disruptive technology ...

You will be part of a team developing AI capabilities from simple Gemini Gems up to Agentic AI solutions . As part of the Digital Innovation Squad , you will be involved in disruptive technology ...

About the Role As Senior Director of Generative & Agentic AI , you will play a central role in Babel Street's transformation into an AI-native risk intelligence organization. You will architect ...

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Agentic Ai information

See Virginia salary details

$35

$65

$115

How much do agentic ai jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for agentic ai in Virginia is $65.21, according to ZipRecruiter salary data. Most workers in this role earn between $45.05 and $99.13 per hour, depending on experience, location, and employer.

What are agentic AI systems?

Agentic AI systems are artificial intelligence models designed to act autonomously and pursue goals in dynamic environments. Unlike traditional AI, which follows specific programmed instructions, agentic AI can make decisions, take actions, and adapt based on feedback or changes in its environment. These systems are often used in complex tasks such as robotics, autonomous vehicles, virtual assistants, and advanced problem-solving applications. The development of agentic AI raises important questions about safety, control, and ethical use due to their ability to make independent decisions.

What are the key skills and qualifications needed to thrive as an AI engineer, and why are they important?

To thrive as an AI Engineer, you need a strong grasp of computer science fundamentals, machine learning techniques, and proficiency in programming languages such as Python or Java, often supported by a relevant degree in computer science or engineering. Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms, and, in some cases, certifications such as TensorFlow Developer Certificate are typically expected. Critical thinking, problem-solving, and effective collaboration are crucial soft skills for tackling complex AI challenges and working in multidisciplinary teams. These skills and qualities are essential to develop, deploy, and maintain innovative AI solutions that drive business value.

How do agentic AI professionals typically collaborate with cross-functional teams to implement intelligent agents in business processes?

Agentic AI professionals often work closely with data scientists, software engineers, product managers, and business stakeholders to integrate intelligent agents into existing workflows. This collaboration involves understanding business requirements, designing agent behaviors, and ensuring seamless data flow between systems. Regular meetings and iterative feedback cycles are common to align technical solutions with strategic objectives. Effective communication and adaptability are key, as these roles often bridge technical and non-technical domains to achieve successful AI-driven automation.

What is the difference between Agentic Ai vs Data Analyst?

AspectAgentic AiData Analyst
Required CredentialsTypically requires knowledge of AI, machine learning, and programming languagesBachelor's degree in statistics, mathematics, or related field; often requires proficiency in Excel, SQL, and data visualization tools
Work EnvironmentPrimarily tech companies, AI startups, or R&D departmentsBusiness, finance, healthcare, and other industries analyzing data for insights
Employer & Industry UsageUsed in AI development, automation, and machine learning projectsUsed across various industries for data interpretation and reporting
Search & Comparison IntentUnderstanding AI-focused roles versus data analysis roles

Agentic Ai roles focus on developing and implementing AI systems, requiring programming and machine learning skills. Data Analysts interpret data to inform business decisions, often using statistical tools. While both work with data, Agentic Ai professionals are more involved in AI creation, whereas Data Analysts focus on data interpretation.

Is agentic AI a good career?

Agentic AI refers to roles involving the development and deployment of autonomous AI systems, which are in demand in industries like technology, robotics, and automation. Careers in this field typically require skills in machine learning, programming, and data analysis, and can offer growth opportunities as AI technology advances.

What type of jobs are in agentic AI?

Jobs in agentic AI involve developing, training, and deploying autonomous AI systems that can perform tasks independently, such as AI research scientist, machine learning engineer, AI software developer, and data scientist. These roles typically require skills in programming, machine learning frameworks, and understanding of AI ethics and safety protocols.

What are the most commonly searched types of Agentic Ai jobs in Virginia?

The most popular types of Agentic Ai jobs in Virginia are:

What cities in Virginia are hiring for Agentic Ai jobs?

Cities in Virginia with the most Agentic Ai job openings:

Infographic showing various Agentic Ai job openings in Virginia as of August 2026, with employment types broken down into 71% Full Time, 27% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $135,636 per year, or $65.2 per hour.

Agentic AI Engineer

Raytheon Technologies

Arlington, VA โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 hours ago


Job description

Date Posted:
2026-06-25
Country:
United States of America
Location:
US-VA-ARLINGTON-111 ~ 1300 17Th St N ~ BBN ARLINGTON
Position Role Type:
Hybrid
U.S. Citizen, U.S. Person, or Immigration Status Requirements:
The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
Security Clearance Type:
TS/SCI without Polygraph
Security Clearance Status:
Active and existing security clearance required after day 1
For more than 70 years, scientists and engineers in a wide ranging disciplines at RTX BBN Technologies have collaborated to solve real-world problems through research, exploration, development and prototyping. We partner with the best technical talent in academia and industry to challenge the status quo, pioneer new technologies, and create transformative solutions. Our culture enables all employees to find purpose, thrive, and succeed. By creating an environment where all opinions are valued, risk-taking is encouraged, and excellence is rewarded, we allow our employees to do their best, most important work. We offer industry-leading benefits including 100% paid tuition program, a generous 401k company match, a Retirement Contribution, performance-based incentive plans, an onsite gym and game room, paid parental leave, paid time off and all kinds of employee discounts.
The following position is to join our BBN Technologies team:
What You Will Do:
  • Design, develop, and deploy agentic AI systems capable of autonomous reasoning, planning, and multi-step task execution.
  • Build and optimize Python-based frameworks and tools that support scalable agent architectures.
  • Integrate cutting-edge research into practical applications, rapidly prototyping new agentic capabilities.
  • Collaborate with research scientists and engineers to design experiments, evaluate system performance, and produce high-quality technical documentation.
  • Lead or contribute to peer-reviewed publications, white papers, and internal research briefs.
  • Partner with product and engineering teams to translate research insights into real-world impact.

What You Will Learn:
  • Advanced techniques in agentic AI, including tool-use, planning algorithms, multi-agent coordination, and memory architectures.
  • How to translate emerging research into production-ready systems at scale.
  • Best practices for evaluating autonomous AI behaviors and ensuring safety, reliability, and alignment.
  • Collaboration workflows across research, engineering, and product teams.
  • Exposure to a broad range of generative AI, reinforcement learning, and orchestration frameworks.

Qualifications You Must Have:
  • Experience in Python, including experience building production-quality systems.
  • Experience developing agentic or autonomous AI systems.
  • Experience in latest research in agentic AI, LLM architectures, planning algorithms, or autonomous reasoning.
  • Experience designing and running experimental evaluations for AI models or agents.
  • Technical writing skills, including experience authoring research papers, preprints, or detailed technical reports.
  • Ability to work collaboratively with cross-functional research and engineering teams.
  • The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

Qualifications We Prefer:
  • Graduate degree in computer science, machine learning, artificial intelligence, or a related field.
  • Experience with reinforcement learning, multi-agent systems, or cognitive architectures.
  • Contributions to open-source AI frameworks or agentic toolkits.
  • Familiarity with cloud-native development, distributed compute, or containerized workflows.
  • A track record of published research in top AI/ML conferences or journals.

Learn More & Apply Now!
Work Location: Onsite -Arlington, VA
Please consider the following role type definition as you apply for this role:
Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products
As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
The salary range for this role is 95,500 USD - 181,700 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.
Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.
Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.
This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.
RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.
RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
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