2

Entry Level Artificial Intelligence Jobs in Reston, VA

... of artificial intelligence (AI) on the battlefield. The WDP extends to Unclassified, Secret, and ... This is an entry-level role offering meaningful hands-on experience designing for enterprise-scale ...

What You'll Do: * Entry level role. * Will be responsible to set up conference rooms, straighten ... We do not use artificial intelligence (AI) tools to make hiring decisions, and we ask that ...

... of artificial intelligence (AI) on the battlefield. The WDP extends to Unclassified, Secret, and ... This is an entry-level role offering meaningful hands-on exposure to full-lifecycle, mission ...

next page

Showing results 1-20

Entry Level Artificial Intelligence information

What is the difference between Entry Level Artificial Intelligence vs Entry Level Data Scientist?

AspectEntry Level Artificial IntelligenceEntry Level Data Scientist
Required CredentialsBachelor's in CS, AI, or related field; basic programming skillsBachelor's in CS, Statistics, or related; knowledge of data analysis
Work EnvironmentTech companies, research labs, startupsBusiness, finance, healthcare, tech firms
Industry UsageDeveloping AI models, machine learning algorithmsAnalyzing data, building predictive models
Common Search IntentEntry level AI roles, AI job requirementsEntry level data science roles, data analysis jobs

Entry Level Artificial Intelligence roles focus on developing AI models and algorithms, often requiring programming and machine learning knowledge. Entry Level Data Scientist positions involve analyzing data and creating predictive models, with overlapping skills but different focus areas. Both roles are common in tech-driven industries and require similar educational backgrounds, but they serve distinct functions within organizations.

What are entry level artificial intelligence jobs?

Entry level artificial intelligence jobs are positions designed for individuals starting their careers in AI. These roles typically involve supporting data scientists, machine learning engineers, or AI researchers by collecting and preparing data, building simple models, and conducting basic analyses. They may also include roles like AI research assistant, junior machine learning engineer, or AI software developer. Entry-level positions usually require foundational knowledge of programming languages such as Python, familiarity with AI concepts, and sometimes basic experience with machine learning libraries. These jobs provide an opportunity to learn on the job and grow into more specialized AI roles over time.

What are some common challenges entry-level professionals face when starting a career in artificial intelligence, and how can they overcome them?

Entry-level professionals in artificial intelligence often encounter challenges such as bridging the gap between theoretical knowledge and real-world application, keeping up with the fast pace of technological advancements, and collaborating effectively within multidisciplinary teams. To overcome these hurdles, it's helpful to seek mentorship, participate in open-source projects, and continuously update your skills through online courses and workshops. Building strong communication skills will also help when working with colleagues from different backgrounds, such as data engineers, software developers, and business stakeholders.

What are the key skills and qualifications needed to thrive as an Entry Level Artificial Intelligence professional, and why are they important?

To thrive as an Entry Level Artificial Intelligence professional, you need a solid understanding of programming languages (such as Python), basic statistics, and machine learning concepts, often supported by a degree in computer science, data science, or a related field. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience using data processing libraries are typically required. Analytical thinking, problem-solving abilities, and effective communication help you collaborate with teams and interpret data-driven results. These skills are crucial for building reliable AI solutions and contributing effectively to rapidly evolving projects.

What Are the Qualifications to Get an Entry-Level Artificial Intelligence Job?

The qualifications necessary for an entry-level artificial intelligence job depend on the exact job that you choose to pursue. You typically need a bachelor’s degree to start in this field. Common degree paths involve various types of math, physics, robotics, cognitive science therapy, graphical modeling, engineering, Bayesian networking, and computer programming languages, science, and coding. Several skills are also helpful, such as being able to work well with others, strong communication skills, the ability to translate highly technical information, and excellent problem-solving abilities.

What are the most commonly searched types of Artificial Intelligence jobs in Reston, VA? The most popular types of Artificial Intelligence jobs in Reston, VA are:
What are popular job titles related to Entry Level Artificial Intelligence jobs in Reston, VA? For Entry Level Artificial Intelligence jobs in Reston, VA, the most frequently searched job titles are:
What cities near Reston, VA are hiring for Entry Level Artificial Intelligence jobs? Cities near Reston, VA with the most Entry Level Artificial Intelligence job openings:
Infographic showing various Entry Level Artificial Intelligence job openings in Reston, VA as of June 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 92% In-person, and 8% Remote job distribution.
Junior Security Operations Center Analyst with Security Clearance

Junior Security Operations Center Analyst with Security Clearance

ECS

Fairfax, VA • On-site

Other

Posted 10 days ago


Job description

Job Description Everforth ECS is seeking a Junior Security Operations Center Analyst to work in the National Capital Region covering the Pentagon, Falls Church, and Fairfax . Please Note: This position is contingent upon contract award. The War Data Platform (WDP) is a key initiative within the U.S. Department of War's (DoW) AI-First strategy introduced in early 2026. The WDP separates business and financial data from operational warfighting data, aiming to accelerate the deployment of artificial intelligence (AI) on the battlefield. The WDP extends to Unclassified, Secret, and Top Secret environments, and supports collaboration between Combatant Commands, Joint Staff directorates, Senior Executive Service leaders, and operational analysts. The Junior Security Operations Center (SOC) Analyst performs entry-level cyber defense and continuous monitoring operations across WDP's classified and unclassified network environments, supporting the protection of mission-critical AI and data platform capabilities spanning NIPRNet, SIPRNet, and JWICS. This role develops foundational skills in alert triage, incident documentation, and threat awareness under the direct mentorship of senior SOC analysts in a high-tempo, operationally significant government cybersecurity environment. • Performs foundational cyber defense operations supporting continuous monitoring activities across Department of War enterprise networks operating on NIPRNet, SIPRNet, and JWICS.
• Monitors security dashboards and alert queues generated by Security Information and Event Management platforms such as Splunk and Elastic, identifying indicators of compromise, policy violations, and anomalous system behavior.
• Conducts initial alert triage using documented incident response playbooks aligned to DoW Cyber Incident Handling Program guidance, validating event severity and routing incidents through ServiceNow workflows.
• Executes basic investigation steps including log review, endpoint status verification, and correlation of host and network telemetry under senior analyst direction.
• Documents investigative actions, timelines, and observations within SharePoint repositories and ticketing systems to support auditability and continuous monitoring requirements under the Risk Management Framework.
• Supports containment and remediation efforts by coordinating with system administrators, vulnerability management teams, and Information System Security Officers during active incidents.
• Maintains situational awareness through review of threat intelligence feeds, internal advisories, and IAVA notifications to inform alert handling.
• Participates in shift turnover briefings and contributes to operational reporting products including daily alert summaries and incident tracking updates.
• Delivers reliable alert processing, accurate documentation, and disciplined escalation practices that sustain operational readiness, protect mission systems, and strengthen cyber defense posture across supported operational environments.
• Performs other duties as assigned. Required Skills • Current Secret security clearance.
• Experience in cybersecurity operations, IT security, network monitoring, or a closely related discipline, including relevant academic, internship, or lab-based experience demonstrating foundational cyber defense skills.
• IAM Level I certification from an approved credential, including CompTIA Security+ CE, ISC² CAP, ISC² SSCP, or GIAC G Desired Skills • Active Top Secret (TS) security clearance with Sensitive Compartmented Information (SCI) eligibility.
• Hands-on familiarity with SIEM platforms such as Splunk or Elastic, including experience navigating dashboards, constructing basic queries, and reviewing log data in a lab, academic, or professional cybersecurity environment.
• Basic understanding of the MITRE ATT&CK framework and common adversary tactics, techniques, and procedures, with a demonstrated interest in applying threat intelligence concepts to alert triage and incident investigation workflows.
• Exposure to IT service management platforms such as ServiceNow or equivalent ticketing systems, including experience logging, tracking, and documenting security events or IT incidents within structured workflow environments.
• Familiarity with Risk Management Framework concepts and DoW or federal continuous monitoring obligations, including awareness of NIST 800-53 security controls, IAVA notification processes, and the role of cybersecurity documentation in supporting system authorization activities. ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law. is the federal segment of , a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies. Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow. We value: * Attracting and developing top talent and high-performing teams * Fostering a culture that is engaging, accountable, and mission-driven