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Ai Agent Engineer Jobs in Reston, VA (NOW HIRING)

Recorded Future

Senior Software Engineer

Washington, DC

$129K - $193K/yr

Collaborate with engineering managers and cross-functional teams to integrate AI Agent solutions across the platform. * Drive engineering excellence by conducting rigorous code reviews, focusing on ...

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 ...

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 ...

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 ...

Comcast

Sr. Python Engineer, Agentic AI

Washington, DC · On-site

$168K - $252K/yr

Agent Behavior Engineering (Not Just Prompting) Design and productionize agent behaviors including ... AI Systems Intuition Hands‑on experience integrating LLMs into real systems, with a clear ...

Comcast

Sr. Python Engineer, Agentic AI

Washington, DC · On-site

... AI techniques. You will architect and operate productiongrade backend services and agentic ... Agent Behavior Engineering (Not Just Prompting) Design and productionize agent behaviors including ...

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Ai Agent Engineer information

See Reston, VA salary details

$26

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How much do ai agent engineer jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for ai agent engineer in Reston, VA is $55.80, according to ZipRecruiter salary data. Most workers in this role earn between $45.00 and $64.76 per hour, depending on experience, location, and employer.

What is an AI Agent engineer?

An AI Agent Engineer designs, develops, and optimizes autonomous AI agents that can perceive, reason, and act within digital or real-world environments. They work with machine learning, reinforcement learning, and natural language processing to build intelligent systems that interact dynamically with users and other agents. These engineers often integrate AI models with APIs, databases, and software applications to create functional and scalable AI-driven solutions. Their role bridges software engineering and artificial intelligence, ensuring agents operate efficiently and adaptively in various use cases.

What are some typical challenges faced by AI Agent engineers in their day-to-day work?

AI Agent Engineers often encounter challenges such as optimizing agent performance for real-time environments, integrating new algorithms without disrupting existing systems, and ensuring their models can handle diverse and dynamic real-world data. Troubleshooting unexpected behaviors or edge cases and keeping up with rapidly evolving research in artificial intelligence can also be demanding. Working closely with product managers, data scientists, and software developers helps address these challenges, making collaboration and adaptability key components of daily tasks. Overcoming these issues offers valuable learning opportunities and contributes to the growth of robust, innovative AI solutions.

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

To excel as an AI Agent Engineer, you need a robust background in computer science, machine learning, and software engineering, often supported by a degree in a STEM field. Familiarity with programming languages like Python, relevant AI frameworks (such as TensorFlow or PyTorch), and experience with cloud platforms are typically expected, along with certifications in AI or data science being advantageous. Strong problem-solving abilities, effective communication, and teamwork skills are essential soft skills for collaborating on complex AI projects. These competencies ensure you can design, implement, and refine intelligent agents that meet real-world challenges and deliver business value.

What are popular job titles related to Ai Agent Engineer jobs in Reston, VA? For Ai Agent Engineer jobs in Reston, VA, the most frequently searched job titles are:
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Ai Agent Engineer jobs near you

Senior Azure AI Foundry Engineer

Interon IT Solutions

Chantilly, VA • Remote

$61.50 - $79.75/hr

Contractor

Posted 20 days ago

Job description

#W2 Role
 
Senior Azure AI Foundry Engineer
Location: Remote
Employment Type: W2 Contract
Experience: 8+ Years
 
Job Description
We are seeking an experienced Azure AI Foundry Engineer to design, develop, and deploy enterprise-grade generative AI solutions on the Microsoft Azure platform. The ideal candidate should have strong experience with Azure AI Foundry, Azure OpenAI, Retrieval-Augmented Generation, AI agents, Python, and cloud-native application development.
 
Key Responsibilities
Design and develop generative AI applications using Azure AI Foundry and Azure OpenAI.
Build Retrieval-Augmented Generation solutions using Azure AI Search, vector databases, embeddings, and enterprise data sources.
Develop AI agents capable of interacting with APIs, databases, documents, and other business systems.
Design prompt workflows, system instructions, tool-calling processes, and multi-step agent workflows.
Develop backend AI services and APIs using Python, FastAPI, Flask, or similar frameworks.
Integrate structured and unstructured data from Azure Data Lake, Blob Storage, SQL databases, SharePoint, and enterprise applications.
Implement document ingestion, chunking, embedding, indexing, retrieval, and response-generation pipelines.
Evaluate AI applications for response accuracy, relevance, groundedness, safety, latency, and overall performance.
Implement responsible AI controls, content filtering, prompt-injection protection, access controls, and data-security standards.
Monitor AI applications using Azure Monitor, Application Insights, logging, tracing, and Foundry observability capabilities.
Deploy and manage AI solutions using Azure Functions, Azure App Service, Azure Container Apps, AKS, or similar Azure services.
Build automated CI/CD pipelines using Azure DevOps or GitHub Actions.
Collaborate with data engineers, data scientists, architects, business analysts, and product teams.
Troubleshoot issues related to model responses, data retrieval, integrations, application performance, and cloud deployment.
Prepare technical design documents, architecture diagrams, deployment guides, and operational documentation.
 
Required Skills
8+ years of overall software engineering, data engineering, cloud, or AI development experience.
Strong hands-on experience with Azure AI Foundry or Microsoft Foundry.
Experience with Azure OpenAI models, embeddings, chat completions, and model deployments.
Strong experience developing RAG-based applications.
Hands-on experience with Azure AI Search, vector search, semantic search, and hybrid search.
Strong programming experience with Python.
Experience developing REST APIs using FastAPI, Flask, or similar frameworks.
Experience with prompt engineering, function calling, tool calling, and AI agent development.
Understanding of LLM evaluation, hallucination reduction, groundedness, responsible AI, and content safety.
Experience with Azure services such as Blob Storage, Data Lake, Key Vault, Functions, App Service, Container Apps, AKS, and Application Insights.
Experience working with SQL, NoSQL, document databases, or vector databases.
Experience with Git, Azure DevOps, GitHub Actions, Docker, and CI/CD processes.
Strong communication, analytical, troubleshooting, and documentation skills.
 
Preferred Skills
Experience with LangChain, LangGraph, Semantic Kernel, AutoGen, or Microsoft Agent Framework.
Experience with Azure Machine Learning, Microsoft Fabric, or Azure Data Factory.
Experience building conversational AI, enterprise copilots, or intelligent document-processing solutions.
Knowledge of model evaluation, red-team testing, prompt-flow testing, and AI application monitoring.
Experience implementing Microsoft Entra ID, managed identities, RBAC, private endpoints, and enterprise security controls.
Microsoft Azure AI Engineer or Azure Solutions Architect certification is preferred.