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Agentic Ai Engineer Jobs in Virginia (NOW HIRING)

GDIT

Senior Agentic AI/ML Engineer

Arlington, VA · On-site

$120K - $165K/yr

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 ...

GDIT

Senior Agentic AI/ML Engineer

Arlington, VA · On-site

$120K - $165K/yr

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 ...

Merican

AWS AI Engineer

Herndon, VA · On-site

AWS AI Engineer Location: Herndon, VA Work Mode: Onsite About the Role We are seeking a highly ... Experience with agentic AI frameworks (LangChain, CrewAI, AutoGen) * Hands-on experience with ...

Rohirrim, Inc.

Senior AI Engineer

Mclean, VA · On-site

$120 - $150/hr

We're looking for a talented, self-driven Agentic AI Engineer to join our core engineering team and help build the next generation of autonomous AI systems that power our acquisition platform. You ...

Elevance Health

Distinguished AI Engineer

Norfolk, VA · On-site +1

Architect and deliver scalable, resilient AI solutions leveraging technologies such as agentic ... Mentor junior AI engineers and elevate the broader organization's AI engineering capabilities

Carmax

Director, AI/ML Engineering

Richmond, VA · On-site

The AI/ML Engineering team is the engineering arm powering next-generation AI solutions - including agentic AI systems, generative AI applications, and intelligent automation workflows - as well as ...

Rohirrim, Inc.

Senior AI Engineer

Mclean, VA · On-site

$105K - $145K/yr

We're looking for a talented, self-driven Agentic AI Engineer to join our core engineering team and help build the next generation of autonomous AI systems that power our acquisition platform. You ...

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All JobsAgentic Ai Engineer JobsAgentic Ai Engineer Jobs in Virginia

Agentic Ai Engineer information

See Virginia salary details

$38.7K

$100.9K

$136.3K

How much do agentic ai engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for agentic ai engineer in Virginia is $100,879.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,300.00 and $115,500.00 per year, depending on experience, location, and employer.

What does an agentic AI engineer do?

An agentic AI engineer designs and develops autonomous AI systems capable of making decisions and taking actions independently. They work with machine learning models, reinforcement learning, and AI frameworks to create systems that can adapt and operate in dynamic environments, often requiring knowledge of programming, data analysis, and AI ethics.
What are popular job titles related to Agentic Ai Engineer jobs in Virginia? For Agentic Ai Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Agentic Ai Engineer jobs in Virginia look for? The top searched job categories for Agentic Ai Engineer jobs in Virginia are:
What cities in Virginia are hiring for Agentic Ai Engineer jobs? Cities in Virginia with the most Agentic Ai Engineer job openings:
Agentic Ai Engineer jobs near you
Infographic showing various Agentic Ai Engineer job openings in Virginia as of August 2026, with employment types broken down into 73% Full Time, and 27% Part Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $100,879 per year, or $48.5 per hour.

Principal AI Engineer (Agentic AI)

Navy Federal Credit Union

Vienna, VA • On-site

Full-time

Posted 24 days ago

Navy Federal Credit Union rating

8.1

Company rating: 8.1 out of 10

Based on 274 frontline employees who took The Breakroom Quiz

59th of 150 rated financial services

Job description


Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be authorized to work in the United States without the need for current or future sponsorship.
The Cognitive and Generative AI Engineering team is responsible for developing and implementing AI-driven solutions that enhance and scale AI adoption across Navy Federal Credit Union. The Principal AI Engineer is a senior, hands-on technical leader responsible for end-to-end delivery of production-grade AI capabilities that span architecture, implementation, deployment, and operational readiness while translating complex technical work into clear, executive-ready narratives. This is a pivotal role in the AI Center for Enablement, leading the design and implementation of cutting-edge AI systems. This role leverages and adapts state-of-the-art large language models (LLMs) to solve complex business problems and identifies opportunities to build modular and reusable components. The incumbent will collaborate with ETS (Enterprise Technology Services) and Business partners including Enterprise Architecture, Enterprise AI Strategy, and the AI Working Group to build and drive solutions. They will provide delivery and ongoing support for NFCU's data science, advanced analytics, and augmented intelligence technologies, executing on the strategic vision and ensuring the successful implementation of AI initiatives across the organization. Successful candidates will exhibit excellent problem-solving skills, effective communication and analytical skills, as well as strong leadership qualities with a proven track record of delivering measurable outcomes.
Responsibilities
  • Lead delivery of AI solutions from discovery through production, ensuring predictable execution, risk management, and measurable value realization.
  • Define and socialize technical delivery plans, milestones, dependencies, and release readiness criteria; proactively surface tradeoffs and decision points.
  • Translate business problems into implementable designs and backlog-ready work, maintaining alignment across engineering, security/risk, architecture, and business stakeholders.
  • Architect and implement scalable AI systems, including data pipelines, model training/inference patterns, and integration into applications/services.
  • Build and deploy AI solutions leveraging modern AI platforms and orchestration patterns (e.g., LLM/agent workflows, RAG, model grounding, evaluation gates, safety controls) as applicable to the use case.
  • Establish and enforce strong engineering discipline: code quality, automated testing, performance tuning, observability, and operational runbooks for AI services.
  • Lead by example in debugging complex issues, completing critical path implementation work, and unblocking teams through direct technical contribution.
  • Develop concise, executive-ready narratives (1-pagers, readouts, and decks) that clearly communicate: problem statement, approach, progress, risks, decisions needed, and business impact.
  • Present technical strategies and delivery status to senior leadership and mixed audiences, adjusting depth while preserving accuracy and decision clarity.
  • Own technical "storytelling" for major milestones (architecture approvals, governance checkpoints, production readiness) with crisp visuals and artifacts.
  • Define and promote reusable patterns, components, and best practices for AI engineering to accelerate delivery across teams.
  • Develop and publish AI standards/best practices and participate in model lifecycle governance (e.g., model registration/curation processes, evaluation and transparency measures).
  • Contribute to technology roadmaps and guidance that standardizes delivery and improves operational resilience.
  • Mentor engineers, lead design and code reviews, develop communities of practice, and systematically raise AI engineering capability across delivery teams.
  • Demonstrates end-to-end accountability for the strategy, architecture, standards, roadmap, adoption, and operational maturity of an assigned technical domain. Serves as the organization's recognized subject-matter authority while ensuring the domain's capabilities are reusable, measurable, governed, and effectively adopted across delivery teams.
  • Complete work with minimal supervision.

Qualifications
  • Bachelor's Degree in Computer Science, Statistics, Engineering or related field, or the equivalent combination of education, training and experience.
  • 7-10 years of experience in AI or similar.
  • Experience with modern Generative AI and agentic patterns (e.g., LLM workflows, orchestration frameworks, RAG, grounding, evaluation, safety controls).
  • Experience establishing AI standards, best practices, and scalable enablement mechanisms (reference architectures, reusable components).
  • Proven track record of driving and coordinating use of GenAI Code Assistants (GitHub Copilot, etc.) to drive Developer Productivity initiatives across the organization with clear value metrics.
  • Hands-on experience building production grade AI agents using industry leading platforms (Azure AI Foundry, etc.) and related technologies such as MCP or A2A.
  • Experience with data platforms (Databricks, etc.) and organizing, cataloging and chunking of unstructured data for scalable Generative-AI solutions and robust knowledge management.
  • Experience with vector stores and graph databases for managing complex relationships to use in AI applications such as recommendation systems.
  • Robust experience in Azure AI/Data solutions and a deep understanding of the evolving AI landscape, with proven track record in API integrations for accessing LLMs.
  • Demonstrated experience conducting threat modeling and implementing security controls for AI systems, including prompt-injection defenses, data-loss prevention, agent authorization, secure tool execution, secrets management, and adversarial testing.
  • Experience operationalizing Responsible AI and model-risk requirements through technical controls, evaluation criteria, documentation, human-in-the-loop patterns, traceability, and auditable evidence.
  • Advanced software engineering skills in Python and API/service development, with experience designing distributed, resilient, containerized systems and implementing automated testing
  • Experience with Agile/SAFe delivery and CI/CD practices for AI solutions.
  • Significant experience working with structured and unstructured data.
  • Significant experience in developing sophisticated algorithms to automate processes and tasks.
  • Advanced knowledge of current AI technologies and concepts.

Additional Information
Hours:
  • Monday - Friday, 8:00AM - 4:30PM

Location:
  • 820 Follin Lane, Vienna, VA 22180

About Us
Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks.
Our approach to careers is simple yet powerful: Make our mission your passion.
  • FORTUNE 100 Best Companies to Work For® 2025
  • Yello and WayUp Top 100 Internship Programs
  • Computerworld® Best Places to Work in IT
  • Newsweek Most Loved Workplaces
  • 2025 PEOPLE® Companies That Care
  • Newsweek Most Trustworthy Companies in America
  • Military Times 2025 Best for Vets Employers
  • Best Companies for Latinos to Work for 2025
  • Forbes® 2025 America's Best Large Employers
  • Forbes® 2025 America's Best Employers for New Grads
  • Forbes® 2025 America's Best Employers for Tech Workers
  • 2025 RippleMatch Campus Forward Award Winner for Overall Excellence
  • Military.com Top Military Spouse Employers 2025
  • 2025 Handshake Early Talent Award

From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.
Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.
Accommodations: If you need accommodation or assistance for a qualifying condition to complete the online application (or during any stage of the hiring process), you can contact Navy Federal's Medical Accommodations team at medicalaccommodations@navyfederal.org or by calling 1-888-503-6013. This team cannot provide any information on job postings or application status.
Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site.
Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process.
Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.

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About Navy Federal Credit Union

Sourced by ZipRecruiter

Navy Federal Credit Union, based in Vienna, Virginia, United States, is a significant player in the financial services industry. Their official website is navyfederal.org. With its roots dating back to 1933, it was initially established to provide credit to Navy members. Over the years, Navy Federal has magnified its scope, evolving into a full-service credit union serving all branches of the military, the Department of Defense, veterans, and their families. The company’s core values include integrity, service, education, and leadership. Navy Federal aims to be the most preferred and trusted financial institution serving the military and their families.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Vienna, VA, US

Year founded

1933

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