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Entry Level Artificial Intelligence Engineer Jobs in Reston, VA

The AI Engineer is responsible for developing and implementing artificial intelligence solutions to solve complex problems. Main Responsibilities and duties: Develop and implement artificial ...

The AI Engineer is responsible for developing and implementing artificial intelligence solutions to solve complex problems. Main Responsibilities and duties: Develop and implement artificial ...

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Entry Level Artificial Intelligence Engineer information

See Reston, VA salary details

$31.2K

$72.2K

$122.8K

How much do entry level artificial intelligence engineer jobs pay per year?

As of Jun 23, 2026, the average yearly pay for entry level artificial intelligence engineer in Reston, VA is $72,161.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,600.00 and $81,700.00 per year, depending on experience, location, and employer.

What kind of projects or tasks do Entry Level Artificial Intelligence Engineers typically work on?

Entry Level Artificial Intelligence Engineers often assist with data collection and preprocessing, implement and test machine learning models, and support research or production teams in developing AI solutions. You may help analyze large datasets, tune model parameters, write scripts for automation, and contribute to code reviews or documentation. Collaboration is common, as you’ll often work closely with data scientists, senior AI engineers, and product managers to advance ongoing projects. These experiences provide a strong foundation for developing your technical skills and understanding how AI solutions are built and deployed in real business environments.

What are the key skills and qualifications needed to thrive in the Entry Level Artificial Intelligence Engineer position, and why are they important?

To thrive as an Entry Level Artificial Intelligence Engineer, you need a solid background in programming (especially Python), mathematics (linear algebra, statistics), and foundational machine learning concepts, often demonstrated through a relevant degree or project experience. Familiarity with key AI frameworks such as TensorFlow or PyTorch, version control systems like Git, and optionally certifications like Google’s TensorFlow Developer Certificate are valuable assets. Strong problem-solving skills, curiosity, and the ability to collaborate and communicate clearly within teams will help you stand out. These competencies are crucial for contributing effectively to real-world AI projects, learning on the job, and advancing in this rapidly evolving field.

What is an Entry Level Artificial Intelligence Engineer job?

An Entry Level Artificial Intelligence Engineer is responsible for developing AI models, writing algorithms, and working with data to build intelligent systems. They typically assist in training machine learning models, optimizing performance, and integrating AI solutions into applications. This role requires knowledge of programming languages like Python, machine learning frameworks, and data processing techniques. Entry-level AI engineers often collaborate with data scientists and software engineers to improve AI functionalities. Employers usually look for candidates with a degree in computer science, engineering, or a related field, along with hands-on experience in AI projects.

What are popular job titles related to Entry Level Artificial Intelligence Engineer jobs in Reston, VA? For Entry Level Artificial Intelligence Engineer jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Entry Level Artificial Intelligence Engineer jobs in Reston, VA look for? The top searched job categories for Entry Level Artificial Intelligence Engineer jobs in Reston, VA are:
What cities near Reston, VA are hiring for Entry Level Artificial Intelligence Engineer jobs? Cities near Reston, VA with the most Entry Level Artificial Intelligence Engineer job openings:
Infographic showing various Entry Level Artificial Intelligence Engineer job openings in Reston, VA as of June 2026, with employment types broken down into 77% Full Time, 18% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $72,161 per year, or $34.7 per hour.

Artificial Intelligence (AI) Assistant I

Starks Industries

Washington, DC • On-site

Full-time

Posted 13 days ago


Job description

SUMMARY:

Entry-level Artificial Intelligence (AI) Assistant Level I supports artificial intelligence initiatives through data preparation, model testing, system monitoring, governance, risk, and compliance (GRC) support activities, and research. Supports AI adoption initiatives aligned with agency mission priorities, cybersecurity requirements, federal compliance mandates, and digital transformation objectives. Contributes to the development of ethical, secure, transparent, and responsible AI solutions consistent with federal AI frameworks, risk management principles, and organizational governance standards. Assists with continuous monitoring, documentation, audit readiness, and automation efforts supporting AI operational integrity and regulatory compliance.


KEY DUTIES and RESPONSIBILITIES:

  • Assist with data collection, cleansing, validation, and organization for AI and machine learning projects
  • Support the development, testing, and validation of AI models under the guidance of senior technical staff
  • Monitor AI systems and report performance issues, anomalies, security concerns, compliance deviations, or opportunities for improvement
  • Support GRC activities related to AI systems, data governance, cybersecurity, privacy, and operational controls
  • Assist in maintaining AI system documentation, inventories, risk registers, audit artifacts, and compliance tracking records
  • Participate in continuous monitoring activities for AI-enabled systems to support operational performance, cybersecurity posture, and regulatory compliance
  • Assist with implementing automated workflows, dashboards, alerts, and reporting mechanisms for AI operations and compliance monitoring
  • Conduct research on emerging AI tools, platforms, federal AI policies, cybersecurity standards, and industry best practices
  • Help document AI workflows, standard operating procedures (SOPs), governance processes, and technical procedures
  • Support internal stakeholders using AI-powered tools, automation platforms, and data-driven solutions
  • Collaborate with cross-functional teams including cybersecurity, compliance, legal, privacy, data governance, and IT operations personnel to integrate AI solutions into business operations
  • Assist in preparing reports, dashboards, presentations, and metrics related to AI initiatives, compliance activities, risk assessments, and operational performance
  • Support the identification, tracking, and mitigation of operational, cybersecurity, privacy, and AI model risks
  • Assists in the development, implementation, maintenance, and governance of AI-enabled solutions to improve operational efficiency, decision-making, automation, and data-driven outcomes
  • Support adherence to federal AI governance frameworks, cybersecurity standards, and agency compliance requirements

Minimum Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, Cybersecurity, Information Assurance, or a related discipline
  • 0-2 years of relevant experience (internships or academic projects acceptable)
  • Basic understanding of artificial intelligence, machine learning, data analytics, cybersecurity, or governance and compliance concepts


Preferred Skills & Competencies

  • Familiarity with programming languages such as Python, R, or Java Familiarity with programming languages such as Python, R, Java, or scripting tools used for automation
  • Exposure to data analysis tools (e.g., Excel, SQL, Power BI, Tableau, or similar platforms)
  • Basic knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, or similar).
  • Familiarity with Governance, Risk, and Compliance (GRC) concepts, cybersecurity controls, or compliance monitoring processes
  • Exposure to automation, workflow orchestration, or monitoring tools used in IT or AI environments
  • Understanding of continuous monitoring principles, audit readiness, and operational reporting processes
  • Knowledge of federal IT environments, cloud platforms, AI governance frameworks, cybersecurity standards, or data governance policies
  • Familiarity with federal frameworks and standards such as NIST AI RMF, NIST CSF, RMF, FedRAMP, FISMA, or Zero Trust concepts.
  • Strong analytical and problem-solving skills
  • Excellent written and verbal communication skills
  • Ability to work independently and collaboratively in a team environment
  • Attention to detail and a strong commitment to quality and compliance
  • Experience supporting government clients or working in a regulated environment preferred


Required Knowledge, Skills, and Abilities (KSAs)

  • Foundational knowledge of AI/ML concepts, data analytics, governance, risk management, and statistical methods
  • Basic proficiency in programming languages such as Python, R, SQL, or similar technologies
  • Familiarity with data analysis and visualization tools (e.g., SQL, Excel, Power BI, Tableau, or equivalent)
  • Understanding of Governance, Risk, and Compliance (GRC) principles and continuous monitoring concepts
  • Ability to follow established procedures, security controls, governance standards, and federal compliance requirements
  • Knowledge of cybersecurity, privacy, and data protection principles in AI-enabled environments
  • Ability to identify, document, and escalate operational, compliance, or system risks
  • Strong analytical, organizational, and problem-solving skills
  • Effective written and verbal communication skills
  • Ability to support audit preparation, reporting, and documentation activities
  • Ability to work in a structured, compliance-driven, and mission-focused environment

Security Requirements

  • Ability to obtain and maintain a Public Trust or higher-level security clearance, as required by the contract


Supervision

  • Works under direct supervision with clearly defined guidelines. Receives technical guidance from senior AI, cybersecurity, compliance, governance, data, or engineering personnel.