ZipRecruiter

Log In

1

Ai Manager Jobs in Virginia (NOW HIRING)

Pwc

AI & GenAI Data Scientist - Manager

Richmond, VA

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As an AI & GenAI Data Scientist - Manager, you will play a pivotal role in ...

PenFed Credit Union

SVP Artificial Intelligence

Mclean, VA

$158K - $198K/yr

AI Management--establishing and overseeing the enterprise framework for AI lifecycle management, risk management, compliance, inventory management, performance monitoring, reporting, and responsible ...

Bechtel

AI Training Manager

Reston, VA

$140K - $203K/yr

Bechtel is seeking an experienced AI Training Manager to lead our Enterprise AI Training Program within the AI Center of Excellence. In this role, you will be responsible for equipping all Bechtel ...

Bechtel Global Corporation

AI Training Manager

Reston, VA · On-site

$140K - $203K/yr

Bechtel is seeking an experienced AI Training Manager to lead our Enterprise AI Training Program within the AI Center of Excellence. In this role, you will be responsible for equipping all Bechtel ...

Bechtel

AI Training Manager

Reston, VA · On-site

$140K - $203K/yr

Bechtel is seeking an experienced AI Training Manager to lead our Enterprise AI Training Program within the AI Center of Excellence. In this role, you will be responsible for equipping all Bechtel ...

Deloitte

AI Governance Manager

Mclean, VA

Manager - AI Governance - Enterprise Operations & Risk Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into ...

SC&H Group

Risk Senior Manager

Tysons Corner, VA · On-site

Build and manage an opportunity pipeline across SOC (1/2/3), readiness, ISO 27001 ISMS implementation/assessments, ISO 42001 (AI Management System) readiness/certification guidance, and security ...

System One Holdings, LLC

AI Project Manager

Vienna, VA · On-site

AI Project Manager Location: Vienna, VA Type: Contract Work Model: Hybrid - onsite and remote Responsibilities * Lead the planning, coordination, and execution of a large technical AI project ...

System One

AI Project Manager

Vienna, VA · On-site

AI Project Manager Location: Vienna, VA Type: Contract Work Model: Hybrid - onsite and remote Responsibilities * Lead the planning, coordination, and execution of a large technical AI project ...

next page

Showing results 1-20

All JobsAi JobsAi Manager JobsAi Manager Jobs in Virginia

Ai Manager information

See Virginia salary details

$23.3K

$100.3K

$189.2K

How much do ai manager jobs pay per year?

As of Aug 31, 2026, the average yearly pay for ai manager in Virginia is $100,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,489.00 and $138,585.00 per year, depending on experience, location, and employer.

What does an AI manager do?

An AI Manager oversees the development, implementation, and optimization of artificial intelligence solutions within an organization. They lead AI teams, manage projects, and ensure alignment with business goals while addressing technical and ethical concerns. AI Managers collaborate with data scientists, engineers, and executives to drive innovation and improve operational efficiency. They also stay updated on industry trends and advancements to leverage AI effectively.

What are the key skills and qualifications needed to thrive as an AI manager?

To thrive as an AI Manager, you need a strong background in computer science, machine learning, project management, and proven experience leading AI initiatives, often supported by a relevant degree or industry certifications. Familiarity with AI frameworks and tools such as TensorFlow, PyTorch, cloud platforms, and knowledge of data governance and MLOps is commonly required. Excellent leadership, problem-solving, and communication skills help AI Managers effectively coordinate cross-functional teams and translate business objectives into actionable AI solutions. These competencies are essential for successfully driving AI projects from conception to deployment while aligning with organizational goals.

What types of teams or departments does an AI manager typically collaborate with?

AI Managers work closely with data scientists, software engineers, product managers, and business stakeholders to ensure AI projects align with company objectives. They often coordinate with IT teams for infrastructure requirements, as well as legal and compliance teams regarding data privacy and ethical AI practices. Close collaboration with these groups helps deliver robust and scalable AI solutions, fostering a multidisciplinary approach that enhances project success. By acting as a bridge between technical and non-technical teams, AI Managers ensure that business needs are clearly understood and translated into effective AI strategies.

How do you become an AI manager?

To become an AI manager, candidates typically need a strong background in computer science, data science, or related fields, along with experience in AI and machine learning projects. Developing skills in programming languages like Python, understanding AI tools and frameworks, and obtaining relevant certifications can enhance qualifications. Leadership and project management skills are also important for overseeing AI teams and initiatives.

How much does an AI manager make?

An AI manager's salary typically ranges from $100,000 to $180,000 annually, depending on experience, location, and industry. Senior AI managers with specialized skills in machine learning and data analysis can earn higher compensation, often supplemented with bonuses and stock options.

What is the role of an AI manager?

An AI manager oversees the development, implementation, and maintenance of artificial intelligence projects within an organization. They coordinate teams of data scientists and engineers, ensure project goals align with business objectives, and often require knowledge of machine learning tools and programming languages. Their role involves strategic planning, resource management, and ensuring ethical AI practices.

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

The most popular types of Ai jobs in Virginia are:

What are popular job titles related to Ai Manager jobs in Virginia?

For Ai Manager jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Ai Manager jobs in Virginia look for?

The top searched job categories for Ai Manager jobs in Virginia are:

What cities in Virginia are hiring for Ai Manager jobs?

Cities in Virginia with the most Ai Manager job openings:

Ai Manager jobs near you
Infographic showing various Ai Manager job openings in Virginia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 73% In-person, and 27% Remote job distribution, with an average salary of $100,343 per year, or $48.2 per hour.

Applied AI Intern - Fall 2026

Tysons Corner, VA

NobleReach Foundation
See more jobs at NobleReach Foundationexternal

$30 - $40/hr

Internship

Posted 5 days ago

Job description

Company Overview

NobleReach Foundation is a civic leadership platform committed to rekindling a spirit of national service across all career stages. We believe the greatest challenges facing America demand technology, science, and business leaders fluent in government, industry, and academia—leaders who belong across sectors, not confined to one. We’re a hub where current and aspiring leaders can connect to opportunities that can meet their ambition for personal success and their passion to impact the world through public service.


Job Overview
The Applied AI Intern works directly with NobleReach's executive team, getting close to what each executive is working on and helping identify and build the AI capabilities that support it. Rather than executing a project defined before you arrive, you'll spend real time inside an executive's workstream: sitting in on meetings, learning their priorities, and finding where AI can remove friction or extend their reach. You'll then scope, prototype, and ship. The expectation will be to move fast, get working tools in front of the executives who will use them, iterate on their feedback, and push back when you see a better approach. You'll report to the Applied AI Manager, who provides technical direction and coaching, while taking day-to-day direction from the executives you support.
Responsibilities
Executive Embed & Discovery
  • Embed with the executives you support, join their meetings, review their recurring work, and build a real understanding of what occupies their time
  • Identify where AI could remove friction, speed up decisions, or extend an executive's reach, and pressure-test those ideas before committing to build
  • Work with the Applied AI Manager to prioritize opportunities against value, feasibility, and the time you have
Build & Delivery
  • Scope, build, test, and refine solutions in partnership with the Applied AI Manager and the executive you're supporting
  • Build using LLM APIs, prompt engineering, and agent development patterns appropriate to the problem
  • Put working prototypes in front of your executive throughout the internship, not just at the end, and adjust based on their feedback
  • Follow NobleReach's AI Governance Policy and security standards throughout the build
Collaboration & Handoff
  • Provide regular progress updates to the Applied AI Manager and the executives you support
  • Share what you learn across the executive team so a capability built for one leader can be reused by others
  • Document what you build, how it works, how to use it, and what you learned along the way
  • Hand off finished work to the Applied AI Engineer for any further development
  • Handle sensitive executive-level information with discretion and in line with NobleReach's confidentiality expectations
Qualifications
  • Currently pursuing a Bachelor's degree in AI, data science, computer science, or a related technical field
  • Hands-on experience building with LLM APIs — prompt engineering, tool use, and basic agent or workflow patterns — through coursework, research, or personal projects
  • Experience with one or more enterprise AI platforms such as Salesforce Agentforce, Microsoft 365 Copilot / Copilot Agent Studio, Azure Foundry, or similar
  • Comfortable with AI-assisted development practices, including tools like Claude Code or similar
  • Strong communicator who can work directly with the people who will use what you build
  • Experience building something real users actually used, even at a small scale
  • Experience working with non-technical users — through client work, internships, research, or coursework
  • Familiarity with integrating APIs across business platforms like Microsoft 365, Salesforce, or similar
  • Interest in the intersection of AI, government, and public service
$30/hour for undergraduate students, $40/hour for graduate students
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 
 
All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.