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Ai Agent 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: - Contract Need 10+ years of experience resumes and need locals to VA or nearby location. - We are ...

Trilagen

Senior Sales Executive - Agentic AI

Reston, VA · On-site

The gap is our opportunity. * $890K average implementation cost per agent deployment -- real enterprise budget, not experiments. * 60% of enterprises lack AI agent governance -- our identity security ...

WISETEK PROVIDERS INC

AI Engineer

Dunn Loring, VA · On-site

$80K - $105K/yr

Deploy Azure AI Agent Service (AGA) patterns for agent registry/broker/governance with agent telemetry and policy enforcement. * Use Azure Batch for large-scale, parallel inferencing/vectorization ...

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How much do ai agent jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for ai agent in Virginia is $29.89, according to ZipRecruiter salary data. Most workers in this role earn between $23.37 and $39.33 per hour, depending on experience, location, and employer.

What is an AI Agent?

An AI Agent job typically involves designing, developing, and managing autonomous or semi-autonomous AI systems that can perform tasks, make decisions, and interact with users or other systems. AI Agents may be used in customer service, data analysis, automation, and decision-making processes. Professionals in this role often work with machine learning models, natural language processing, and reinforcement learning to enhance the capabilities of AI-driven agents.

What does an AI Agent do?

AI Agents often work on projects that involve designing, developing, and optimizing AI-driven systems such as chatbots, recommendation engines, or automated decision-making tools. Daily tasks may include data preprocessing, model training and evaluation, troubleshooting system performance, and collaborating with data scientists, software engineers, and product managers to align solutions with business objectives. The work environment is typically collaborative, fast-paced, and outcome-oriented, allowing team members to contribute ideas and innovations regularly. Over time, AI Agents can progress into more specialized or leadership roles, taking on greater responsibilities and overseeing larger initiatives.

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

To thrive as an AI Agent, you need a strong background in artificial intelligence, machine learning, and data analysis, often supported by a relevant degree in computer science or a related field. Familiarity with programming languages such as Python, TensorFlow, and natural language processing (NLP) tools, as well as certifications in machine learning or AI technologies, is often required. Strong problem-solving abilities, teamwork, and effective communication skills are important for collaborating on complex projects. These abilities are essential for developing, maintaining, and improving AI-driven solutions that meet the needs of businesses and end-users.

How can I become an AI agent?

To become an AI agent, you typically need a background in computer science, data science, or related fields, along with skills in programming languages like Python and knowledge of machine learning frameworks. Gaining experience through relevant projects, certifications, or training in AI and automation tools can also be beneficial. Strong problem-solving skills and understanding of AI ethics are important for this role.

How much does an AI agent make?

The salary of an AI agent varies depending on experience, location, and industry, but typically ranges from $70,000 to $130,000 annually. Roles often require skills in machine learning, programming, and data analysis, with higher salaries for those with advanced certifications or specialized expertise.

What work can AI agents do?

AI agents can perform tasks such as data analysis, automation of repetitive processes, customer support through chatbots, and decision-making assistance. They often require skills in programming, machine learning, and familiarity with AI tools and platforms.

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 are popular job titles related to Ai Agent jobs in Virginia?

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

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

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

What cities in Virginia are hiring for Ai Agent jobs?

Cities in Virginia with the most Ai Agent job openings:

Ai Agent jobs near you
Infographic showing various Ai Agent 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 $62,164 per year, or $29.9 per hour.

AI Agent Engineer

Tror AI for everyone

Mclean, VA • On-site

Contractor

Re-posted 29 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