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Ai Agent Manager Jobs in Virginia (NOW HIRING)

Tror AI for everyone

AI Agent Engineer

Mclean, VA · On-site

Job Title: - Senior AI Agent Engineer Location: - McLean, VA - 5 days onsite Employment Type ... Build orchestration logic to manage the lifecycle of subagents (initialization, delegation ...

WISETEK PROVIDERS INC

AI Engineer

Dunn Loring, VA · On-site

$80K - $105K/yr

In addition to providing IT and business consulting services we also specialize in managing ... Deploy Azure AI Agent Service (AGA) patterns for agent registry/broker/governance with agent ...

WISETEK PROVIDERS INC

AI Engineer

Dunn Loring, VA · On-site

$80K - $105K/yr

In addition to providing IT and business consulting services we also specialize in managing ... Deploy Azure AI Agent Service (AGA) patterns for agent registry/broker/governance with agent ...

WISETEK PROVIDERS INC

AI Engineer

Washington, DC · On-site

$80K - $105K/yr

In addition to providing IT and business consulting services we also specialize in managing ... Deploy Azure AI Agent Service (AGA) patterns for agent registry/broker/governance with agent ...

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Ai Agent Manager information

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$11

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$58

How much do ai agent manager jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for ai agent manager in Virginia is $26.29, according to ZipRecruiter salary data. Most workers in this role earn between $20.00 and $30.29 per hour, depending on experience, location, and employer.

What is an AI agent manager?

An AI agent manager oversees the development, deployment, and maintenance of AI agents—software programs that perform specific tasks autonomously. The role involves coordinating AI systems, ensuring their performance, and often requires knowledge of machine learning, programming, and AI tools. It may also include managing teams and ensuring ethical AI use.

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

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

What cities in Virginia are hiring for Ai Agent Manager jobs?

Cities in Virginia with the most Ai Agent Manager job openings:

Ai Agent Manager jobs near you
Infographic showing various Ai Agent Manager job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $54,677 per year, or $26.3 per hour.

AI Agent Engineer

Tror AI for everyone

Mclean, VA • On-site

Contractor

Re-posted 26 days ago

Job description

Job Title: - Senior AI Agent Engineer

Location: - McLean, VA - 5 days onsite

Employment Type: - Contract

Need 10+ years of experience resumes and need locals to VA or nearby location.

Job Description: -

We are seeking a forward-thinking AI SDLC Engineer to transform our development processes from linear automation to an agentic, multi-agent workflow. The ideal candidate will design, build, and deploy specialized AI subagents (e.g., using frameworks like LangChain, CrewAI, or Claude Code) that collaborate to create production-grade software. You will enable AI to handle specialized tasks—architecture planning, frontend/backend development, debugging, and security reviews—while maintaining context isolation. Responsibilities

• Subagent Architecture & Creation: Design and implement task-specific AI subagents (e.g., ""Code Reviewer,"" ""SQL Expert,"" ""Frontend Builder"") with dedicated system prompts, tool access, and context boundaries.

• Orchestration & Workflow Automation: Build orchestration logic to manage the lifecycle of subagents (initialization, delegation, execution, and cleanup) using agentic frameworks.

• AI-Driven SDLC Integration: Implement agentic workflows across the entire SDLC, from requirements gathering and architecture design to automated testing, code review, and deployment.

• Context & Memory Management: Optimize AI performance by isolating noisy, long-running tasks into subagents, ensuring the main agent remains efficient and context-aware.

• Tooling & Integration: Integrate AI agents with internal development tools, including Bitbucket, Jira, ServiceNow and CI/CD pipelines.

• Performance Evaluation: Monitor, evaluate, and refine agentic workflows to improve code quality, reduce toil, and accelerate release cycles