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Agentic Ai Jobs in Reston, VA (NOW HIRING)

Trilagen

Senior Sales Executive - Agentic AI

Reston, VA · On-site

Why This Market, Why Now * $9B+ agentic AI market in 2026 -- 51% of Fortune 500 have agents in production, but only 23% see real ROI. The gap is our opportunity. * $890K average implementation cost ...

Klaxontech

Senior AI Agent Engineer - Agentic

Reston, VA · On-site

$108K - $149K/yr

AI Engineer with expertise building agentic software development platforms using AWS, Strands Agents, Bedrock, Neptune, RDS, Step Functions, and Python. Experienced in code understanding ...

Jobtailor

Principal AI Engineer (Agentic AI)

Vienna, VA · On-site

$180 - $240/hr

Experience with modern Generative AI and agentic patterns (e.g., LLM workflows, orchestration frameworks, RAG, grounding, evaluation, safety controls). * Experience establishing AI standards, best ...

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All JobsAgentic Ai JobsAgentic Ai Jobs in Reston, VA

Agentic Ai information

See Reston, VA salary details

$37

$68

$121

How much do agentic ai jobs pay per hour?

As of Aug 17, 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.

Associate Senior Platform Engineer (Agentic AI & Hyperautomation Portfolio Lead)

World Bank

Washington, DC • On-site

Full-time

Posted 13 days ago

Job description

Do you want to build a career that is truly worthwhile? The World Bank Group is a unique global partnership of five institutions driven by a bold vision to create a world free of poverty on a livable planet. As one of the largest sources of funding and knowledge for developing countries, we help solve the world's greatest development challenges. When you join the World Bank Group, you become part of a dynamic, diverse organization with 189 member countries and more than 120 offices worldwide. We work with public and private sector partners, invest in groundbreaking projects, and use data, research, and technology to bring tangible and transformative change around the globe. For more information, visit www.worldbank.org.

VPU Context:

The World Bank Group (WBG) is accelerating its use of artificial intelligence and automation to enhance operational efficiency, knowledge management, and development impact. As part of this effort, the Information Technology Solutions (ITS) vice presidency-and specifically the ITSSG team-is expanding its capacity in Hyperautomation. This involves integrating advanced AI with core business processes to create a seamless, intelligent automation fabric. 

A key component of this strategy is the development of agentic AI systems: autonomous, multi-step AI workflows capable of reasoning, tool use, and decision-making. This Terms of Reference outlines the scope of work for a Lead Agentic AI & Hyperautomation Strategist at the GG staff level, based in Washington DC, USA to lead the design, strategy, and implementation of these transformative solutions.

Objective

The Agentic AI & Hyperautomation Portfolio Lead will serve as a strategic leader within ITSSG, helping to advance the adoption of Agentic AI, intelligent automation, and AI orchestration capabilities across ITS. Working closely with business, product, architecture, engineering, and platform teams, the role will identify opportunities to drive operational efficiency, improve service delivery, and accelerate digital transformation through AI-powered automation.

The successful candidate will influence strategic direction, help shape technology and investment decisions, foster enterprise adoption, and provide leadership across a portfolio of AI and automation initiatives. The role requires a combination of technology expertise, strategic thinking, stakeholder engagement, and the ability to translate emerging capabilities into measurable business outcomes.

Scope of Work

The staff will be responsible for the following:

1. Strategic Leadership & Portfolio Management

Serve as a strategic advisor on Agentic AI, AI orchestration, and Hyperautomation opportunities across ITS.

Help shape priorities, roadmaps, and investment decisions relating to intelligent automation and AI-enabled transformation.

Identify, assess, and prioritize opportunities where Agentic AI and Hyperautomation can deliver measurable operational and business value.

Develop business cases, value realization frameworks, and recommendations to support decision-making and investment planning.

Monitor market developments, emerging technologies, and industry trends, providing guidance on their potential application within WBG.

2. AI Orchestration & Hyperautomation Enablement

Promote a cohesive approach to Agentic AI and Hyperautomation across platforms, products, and business domains.

Partner with architecture, engineering, service management, and platform teams to develop scalable patterns and reusable capabilities.

Support the evolution of enterprise AI orchestration capabilities that enable complex workflows spanning multiple systems and technologies.

Influence the design and adoption of solutions that combine AI, workflow automation, and enterprise platforms to improve business outcomes.

Encourage reuse, standardization, and alignment across AI and automation initiatives to maximize value and reduce duplication.

3. Governance, Risk & Responsible AI

Support the development and adoption of governance frameworks, standards, and controls for Agentic AI and intelligent automation.

Partner with security, risk, legal, compliance, procurement, and architecture stakeholders to ensure solutions align with institutional policies and standards.

Promote responsible AI practices, including transparency, security, auditability, and operational oversight.

Contribute to the development of guardrails and governance mechanisms that enable innovation while appropriately managing risk.

Advocate for scalable approaches to lifecycle management, monitoring, and operational governance of AI-enabled services.

4. Stakeholder Engagement & Organizational Influence

Build strong relationships across ITS and business stakeholders to promote the effective adoption of Agentic AI and Hyperautomation capabilities.

Facilitate alignment across product, platform, architecture, and operational teams on strategic priorities and implementation approaches.

Communicate opportunities, risks, recommendations, and outcomes to senior leaders and governance forums.

Act as a champion for AI-enabled transformation, helping stakeholders understand emerging capabilities and their practical application.

Influence decision-making through collaboration, thought leadership, and trusted advisory relationships.

5. Innovation, Platform & Vendor Strategy

Lead assessments of emerging Agentic AI, orchestration, and automation technologies and their applicability within the WBG environment.

Provide recommendations on platform capabilities, technology direction, and strategic investments.

Engage with strategic vendors and industry partners to understand product roadmaps, innovation trends, and emerging capabilities.

Identify opportunities to leverage common enterprise platforms and services to accelerate adoption and value realization.

Foster innovation and knowledge sharing through communities of practice and cross-functional collaboration.

6. Delivery Oversight & Value Realization

Provide strategic oversight and guidance across a portfolio of AI and automation initiatives.

Establish measures to track adoption, business value, operational improvements, and organizational impact.

Identify and address barriers to adoption, scalability, and value realization.

Support successful implementation by aligning stakeholders, managing dependencies, and promoting sustainable operating models.

Help ensure initiatives deliver measurable improvements in efficiency, effectiveness, employee experience, and service outcomes.

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