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Agentic Ai Jobs in Reston, VA (NOW HIRING)

Trilagen

Agentic AI Engineer

Bethesda, MD · On-site

  • Medical

  • Dental

  • Retirement

  • PTO

... AI). You architect model-agnostic integration layers so clients aren't locked in, and you know how to select, swap, and benchmark models for specific agent tasks. Agentic architecture You understand ...

Ag

Solution Innovator - Agentic AI

Herndon, VA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will be part of a team developing AI capabilities from simple Gemini Gems up to Agentic AI solutions . As part of the Digital Innovation Squad , you will be involved in disruptive technology ...

Hatch IT

Sr. Director, Generative & Agentic AI

Reston, VA · Hybrid

$210K - $240K/yr

About the Role As Senior Director of Generative & Agentic AI , you will play a central role in Babel Street's transformation into an AI-native risk intelligence organization. You will architect ...

Airbus

Solution Innovator - Agentic AI

Herndon, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will be part of a team developing AI capabilities from simple Gemini Gems up to Agentic AI solutions . As part of the Digital Innovation Squad , you will be involved in disruptive technology ...

Trilagen

Agentic AI Engineer

Bethesda, MD

  • Medical

  • Dental

  • Retirement

  • PTO

... AI). You architect model-agnostic integration layers so clients aren't locked in, and you know how to select, swap, and benchmark models for specific agent tasks. Agentic architecture You understand ...

CYNET SYSTEMS

Senior Agentic AI Engineer

Reston, VA · On-site

$59 - $77/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Experience with Agentic AI frameworks such as Microsoft Agent Framework, Semantic Kernel, LangGraph, AutoGen, or comparable orchestration frameworks; including single-agent and multi-agent systems ...

New

CYNET SYSTEMS

Senior Agentic AI Engineer

Reston, VA · On-site

$59.35 - $77.03/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Experience with Agentic AI frameworks such as Microsoft Agent Framework, Semantic Kernel, LangGraph, AutoGen, or comparable orchestration frameworks; including single-agent and multi-agent systems ...

New

Trustible

Senior Software Engineer, Agentic AI

Arlington, VA · On-site

$145K - $165K/yr

  • Medical

  • Dental

  • Vision

  • PTO

The Role We're hiring a Senior Software Engineer to build out Trustible's agentic AI capabilities. This is a backend-heavy engineering role. You'll spend your time writing MCP tool integrations ...

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Agentic Ai information

See Reston, VA salary details

$37

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How much do agentic ai jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for agentic ai in Reston, VA is $68.43, according to ZipRecruiter salary data. Most workers in this role earn between $47.26 and $104.04 per hour, depending on experience, location, and employer.

How do agentic AI professionals typically collaborate with cross-functional teams to implement intelligent agents in business processes?

Agentic AI professionals often work closely with data scientists, software engineers, product managers, and business stakeholders to integrate intelligent agents into existing workflows. This collaboration involves understanding business requirements, designing agent behaviors, and ensuring seamless data flow between systems. Regular meetings and iterative feedback cycles are common to align technical solutions with strategic objectives. Effective communication and adaptability are key, as these roles often bridge technical and non-technical domains to achieve successful AI-driven automation.

What is the difference between Agentic Ai vs Data Analyst?

AspectAgentic AiData Analyst
Required CredentialsTypically requires knowledge of AI, machine learning, and programming languagesBachelor's degree in statistics, mathematics, or related field; often requires proficiency in Excel, SQL, and data visualization tools
Work EnvironmentPrimarily tech companies, AI startups, or R&D departmentsBusiness, finance, healthcare, and other industries analyzing data for insights
Employer & Industry UsageUsed in AI development, automation, and machine learning projectsUsed across various industries for data interpretation and reporting
Search & Comparison IntentUnderstanding AI-focused roles versus data analysis roles

Agentic Ai roles focus on developing and implementing AI systems, requiring programming and machine learning skills. Data Analysts interpret data to inform business decisions, often using statistical tools. While both work with data, Agentic Ai professionals are more involved in AI creation, whereas Data Analysts focus on data interpretation.

How to start a career in agentic AI?

To start a career in agentic AI, develop strong skills in artificial intelligence, machine learning, and programming languages such as Python. Gaining experience through relevant projects, internships, or certifications in AI and automation tools can improve job prospects in this field.

What are the key skills and qualifications needed to thrive as an AI engineer, and why are they important?

To thrive as an AI Engineer, you need a strong grasp of computer science fundamentals, machine learning techniques, and proficiency in programming languages such as Python or Java, often supported by a relevant degree in computer science or engineering. Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms, and, in some cases, certifications such as TensorFlow Developer Certificate are typically expected. Critical thinking, problem-solving, and effective collaboration are crucial soft skills for tackling complex AI challenges and working in multidisciplinary teams. These skills and qualities are essential to develop, deploy, and maintain innovative AI solutions that drive business value.

What are agentic AI systems?

Agentic AI systems are artificial intelligence models designed to act autonomously and pursue goals in dynamic environments. Unlike traditional AI, which follows specific programmed instructions, agentic AI can make decisions, take actions, and adapt based on feedback or changes in its environment. These systems are often used in complex tasks such as robotics, autonomous vehicles, virtual assistants, and advanced problem-solving applications. The development of agentic AI raises important questions about safety, control, and ethical use due to their ability to make independent decisions.

Is agentic AI a good career?

Agentic AI refers to roles involving the development and deployment of autonomous AI systems, which are growing in demand across industries such as technology, healthcare, and finance. Careers in this field typically require skills in machine learning, programming, and data analysis, and may involve working with AI frameworks and tools. The field offers opportunities for innovation and specialization but also requires ongoing learning due to rapid technological advancements.

What are popular job titles related to Agentic Ai jobs in Reston, VA?

For Agentic Ai jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Agentic Ai jobs in Reston, VA look for?

The top searched job categories for Agentic Ai jobs in Reston, VA are:

What cities near Reston, VA are hiring for Agentic Ai jobs?

Cities near Reston, VA with the most Agentic Ai job openings:

Agentic Ai jobs near you
Infographic showing various Agentic Ai job openings in Reston, VA as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $142,331 per year, or $68.4 per hour.

Agentic AI Engineer

Trilagen

Bethesda, MD • On-site

Full-time

Medical, Dental, Retirement, PTO

Re-posted 9 days ago

Job description

We build AI agents that actually work in enterprise environments - not prototypes, not demos. We need engineer's who can own the entire agent stack: a production frontend, a robust backend, a properly secured API and identity layer, a memory architecture that scales, and LLM integrations that are model-agnostic and built to last.
You'll be deployed on client engagements as the lead technical architect and builder of agentic systems running in AWS, OCI, and Azure. You'll work directly with client stakeholders, translate complex requirements into working systems, and leave behind infrastructure clients can operate and extend. You'll also help Trilagen productize our delivery approach as we scale the practice.
If you've only ever built agents that run on your laptop, this isn't the role. If you've shipped agentic systems into production cloud environments and know exactly what breaks and why - we want to talk.
What you'll own
Full-stack agent development You design and build the entire application - not just the AI layer. This means a React or Next.js frontend with streaming, real-time agent UX; a Python or Node.js backend that orchestrates agent logic, manages state, and exposes clean APIs; and containerized, cloud-deployed services that operations teams can actually run. You own the repo, the CI/CD pipeline, the deployment, and the runbook.
Multi-cloud deployment Production agent systems on all three major clouds: AWS (Lambda, ECS/Fargate, Bedrock, API Gateway), Oracle OCI (OKE, Functions, AI Services), and Azure (AKS, Azure OpenAI Service, Azure Functions). You understand the tradeoffs between platforms and can advise clients on where to run what and why.
LLM integration and model strategy You have deep, hands-on experience with the leading LLM providers and their APIs - Anthropic Claude (Messages API, tool use, streaming, context management), OpenAI (GPT-4o, Assistants API, function calling), and Google Gemini (Gemini Pro/Flash, Vertex AI). You architect model-agnostic integration layers so clients aren't locked in, and you know how to select, swap, and benchmark models for specific agent tasks.
Agentic architecture You understand how to design systems that do real multi-step work: tool use and function calling patterns, ReAct and plan-and-execute loops, agent-to-agent orchestration and handoffs, human-in-the-loop checkpoints, retry and failure recovery strategies, and cost/latency optimization across long-running agent workflows. Frameworks like LangGraph, CrewAI, AutoGen, and the Model Context Protocol (MCP) are tools in your toolbox, not the ceiling of your knowledge.
Memory and context layer You've designed and implemented memory architectures for production agents: short-term conversational context, long-term persistent memory, RAG pipelines with vector databases (Pinecone, pgvector, OpenSearch, Weaviate), semantic search, and hybrid retrieval strategies. You know when to use each and how to keep them performant at scale.
Security and identity layer This is non-negotiable for our client base. You build the security envelope around every agent system you ship: OAuth 2.0 / OIDC authentication flows, API key lifecycle management, role-based access control enforced within agent workflows, secrets management (AWS Secrets Manager, Azure Key Vault, OCI Vault), audit logging for agent actions, prompt injection defense, and data residency controls. Familiarity with Okta or SailPoint ISC is a direct advantage on our engagements.
Requirements
  • 4+ years of software engineering experience with at least 2 years building and shipping LLM-powered or agentic applications in production cloud environments
  • Hands-on depth with at least two of the three major LLM providers: Anthropic Claude, OpenAI, and Google Gemini - at the API level, not just via wrappers
  • Full-stack proficiency: Python (FastAPI, Flask, or similar) backend, React or Next.js frontend, REST and WebSocket API design
  • Production experience on at least two of: AWS, Azure, OCI - with real deployments, not sandbox accounts
  • Demonstrated ability to design and implement agent memory and retrieval systems using vector databases and RAG
  • Strong command of AI security practices: auth, RBAC, secrets management, audit logging, and prompt-level safeguards
  • Consulting DNA - you can run a discovery session, write a technical design doc, manage client expectations, and own delivery end to end

Nice to have
  • Experience with all three LLM providers (Anthropic, OpenAI, Gemini) and model-agnostic orchestration patterns
  • Okta and/or SailPoint ISC integration experience
  • Cloud certifications: AWS Solutions Architect, Azure Solutions Architect, OCI Architect

Benefits
Benefits:
  • 401K
  • Health Insurance
  • Dental Insurance
  • Paid Time Off
  • Paid Sick Leave

Apply