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Entry Level Ai Cyber Security Jobs (NOW HIRING)

ManTech

Junior AI/ML Strategist

Arlington, VA · Hybrid

$98K - $163K/yr

Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software ... Security+, AWS Certified Cloud Practitioner, or equivalent entry-level cloud/cyber credentials.

Pwc

AI Governance Sr Associate

Chicago, IL

$72K - $212K/yr

Accounting, Business Administration/Management, Computer Science/Information Systems, Cybersecurity ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI Governance Sr Associate

Detroit, MI · On-site

$72K - $212K/yr

Accounting, Business Administration/Management, Computer Science/Information Systems, Cybersecurity ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI Governance Sr Associate

Washington, DC

$72K - $212K/yr

Accounting, Business Administration/Management, Computer Science/Information Systems, Cybersecurity ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI Governance Sr Associate

Stamford, CT

$72K - $212K/yr

Accounting, Business Administration/Management, Computer Science/Information Systems, Cybersecurity ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI Governance Sr Associate

Dallas, TX · On-site

$72K - $212K/yr

Accounting, Business Administration/Management, Computer Science/Information Systems, Cybersecurity ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI Governance Sr Associate

Boston, MA · On-site

$72K - $212K/yr

Accounting, Business Administration/Management, Computer Science/Information Systems, Cybersecurity ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI Governance Sr Associate

New York, NY · On-site

$72K - $212K/yr

Accounting, Business Administration/Management, Computer Science/Information Systems, Cybersecurity ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI Governance Sr Associate

Los Angeles, CA · On-site

$72K - $212K/yr

Accounting, Business Administration/Management, Computer Science/Information Systems, Cybersecurity ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI Governance Sr Associate

Philadelphia, PA · On-site

$72K - $212K/yr

Accounting, Business Administration/Management, Computer Science/Information Systems, Cybersecurity ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI Governance Sr Associate

San Francisco, CA

$72K - $212K/yr

Accounting, Business Administration/Management, Computer Science/Information Systems, Cybersecurity ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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All JobsAi Cyber Security JobsEntry Level Ai Cyber Security Jobs

Entry Level Ai Cyber Security information

See salary details

$40.5K

$122.9K

$180K

How much do entry level ai cyber security jobs pay per year?

As of Aug 6, 2026, the average yearly pay for entry level ai cyber security in the United States is $122,890.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $142,000.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Ai Cyber Security vs Entry Level Network Security?

AspectEntry Level Ai Cyber SecurityEntry Level Network Security
Required CertificationsCompTIA Security+, Cisco CCNA, basic AI/ML knowledgeCompTIA Security+, Cisco CCNA, basic networking skills
Work EnvironmentCybersecurity teams, AI-focused projects, tech companiesIT departments, network infrastructure, various industries
Industry UsageGrowing in AI-driven security solutions, tech firmsWidespread across all sectors needing network protection

Entry Level Ai Cyber Security focuses on protecting systems using AI and machine learning techniques, often in tech-driven environments. Entry Level Network Security emphasizes securing network infrastructure through traditional security measures. Both roles require similar foundational certifications but differ in their focus areas and application environments.

How to start a career in entry level AI cyber security?

To start a career in entry-level AI cyber security, gain foundational knowledge in cybersecurity principles, programming, and machine learning through online courses or certifications like CompTIA Security+ or Certified Ethical Hacker. Develop skills in programming languages such as Python, familiarize yourself with security tools, and gain practical experience through internships or labs to build your understanding of AI security challenges.

What are the key skills and qualifications needed to thrive as an entry level AI cyber security professional?

To thrive as an Entry Level AI Cyber Security professional, you need foundational knowledge in computer science, cybersecurity principles, and basic understanding of AI and machine learning, often supported by a relevant degree or certifications like CompTIA Security+ or Certified Ethical Hacker (CEH). Familiarity with security tools such as SIEM systems, intrusion detection software, and programming languages like Python is typically expected. Attention to detail, problem-solving abilities, and strong communication skills help you identify threats and effectively collaborate with teams. These skills are essential for protecting digital assets and proactively addressing evolving cyber threats in AI-driven environments.

What are some common challenges faced by entry level AI cyber security professionals, and how can they overcome them?

Entry-level AI cyber security professionals often encounter challenges such as keeping pace with rapidly evolving threats and technologies, understanding complex AI-driven attack vectors, and bridging the gap between traditional IT security practices and AI-based systems. To overcome these hurdles, it's important to engage in continuous learning through online courses, certifications, and active participation in security communities. Collaborating with more experienced team members and seeking mentorship can also help new professionals gain practical insights and stay updated on industry best practices.

Is AI taking entry level AI cyber security jobs?

Entry level AI cybersecurity jobs focus on applying AI tools and techniques to protect systems from cyber threats. While automation and AI are increasingly used in cybersecurity, entry level roles typically require foundational knowledge of security principles, programming, and AI concepts, and they are expected to grow as organizations adopt more AI-driven security solutions.

What is an entry level AI cyber security?

An entry level AI cyber security job is a position designed for individuals who are new to the field of cyber security and interested in working with artificial intelligence technologies. These roles typically involve monitoring networks for threats, assisting in the implementation of security protocols, and supporting the development of AI-driven tools to detect and respond to cyber attacks. Entry level professionals may work as security analysts, junior data scientists, or support engineers, gaining hands-on experience while learning about both cyber security and AI applications. Most positions require a foundational understanding of computer science, basic programming skills, and a strong interest in technology and security trends.
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What job categories do people searching Entry Level Ai Cyber Security jobs look for? The top searched job categories for Entry Level Ai Cyber Security jobs are:
Entry Level Ai Cyber Security jobs near you
Infographic showing various Entry Level Ai Cyber Security job openings in the United States as of August 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 84% In-person, 4% Hybrid, and 12% Remote job distribution, with an average salary of $122,890 per year, or $59.1 per hour.

Federal AI Solutions Engineer (Entry Level)

A-TEK Inc.

Mclean, VA

Full-time

Re-posted 27 days ago

Job description

Empower, Innovate, Impact! At Team A-TEK, we EMPOWER people to drive INNOVATION that IMPACTS mission!

A-TEK operates at the intersection of mission and innovation by applying our deep domain expertise across the federal markets. Embracing our digital-first strategy, A-TEK provides enhanced capabilities in application development, digital transformation, enterprise IT, and scientific services. Our solutions are designed to modernize, automate, secure, protect, and enhance the operations of our federal clients, ensuring they stay ahead in a rapidly evolving digital landscape.

Our work is fueled by a passion to serve our clients' needs and to protect the safety and welfare of Americans. That passion shapes how we nurture our most valuable asset – Our Employees. A-TEK actively cultivates the talent that drives our success and fosters a creative, challenging, and mission-driven work environment for current and future employees.

A-TEK is seeking an early-career Federal AI Solutions Engineer to support the design, development, and deployment of mission-focused AI and cloud solutions across AWS and Azure environments. This role is ideal for recent graduates with a strong academic foundation in Artificial Intelligence, Machine Learning, software engineering, and cloud technologies who are eager to apply their skills to real-world federal mission challenges.

The engineer will work alongside senior architects and engineers to develop AI-enabled applications, cloud-native solutions, automation workflows, and rapid prototypes that support A-TEK's DigitalShift innovation initiatives.

This is a hybrid role based in McLean, VA. No visa sponsorship is available for this role. This role requires the ability to obtain and retain a public trust level security clearance.

Key Responsibilities

AI Solution Development

  • Assist in the design, development, and deployment of AI-powered applications and prototypes using:
    • AWS Bedrock
    • Azure OpenAI
    • LangChain, LlamaIndex, Semantic Kernel, CrewAI, or similar frameworks
  • Develop and test prompt engineering strategies, retrieval-augmented generation (RAG) workflows, and AI agent capabilities.
  • Support integration of AI solutions with APIs, enterprise systems, and cloud services.

Cloud Engineering

  • Build and maintain cloud-based environments in AWS and Azure.
  • Assist with infrastructure deployment using Infrastructure-as-Code tools such as Terraform, AWS CDK, or Bicep.
  • Support containerized deployments using ECS, EKS, or AKS.
  • Participate in CI/CD implementation and cloud automation efforts.

Technical Support & Innovation

  • Support senior engineers in troubleshooting cloud, AI, and data integration challenges.
  • Assist in developing reusable templates, accelerators, and reference architectures.
  • Participate in rapid prototyping efforts that demonstrate mission value for federal customers.

Collaboration & Knowledge Sharing

  • Collaborate with Cloud, Cybersecurity, Data Intelligence, and Agile Engineering teams.
  • Contribute to technical documentation, architecture diagrams, and knowledge-sharing initiatives.
  • Stay current with emerging AI, machine learning, and cloud technologies.

Security & Compliance

  • Support implementation of solutions that align with:
    • NIST AI Risk Management Framework (AI RMF)
    • FedRAMP requirements
    • Zero Trust principles
    • Secure coding and responsible AI practices

Required Qualifications

Education (Required)

Bachelor's degree in Computer Science with a concentration, specialization, minor, or significant coursework in Artificial Intelligence, Machine Learning, Data Science, or a closely related field.

Experience

  • 0–2 years of professional software engineering, AI/ML, or cloud development experience.
  • Relevant internships, research projects, capstone projects, graduate assistantships, or co-op experience may be substituted for professional experience.
  • Demonstrated programming experience in Python through coursework, projects, internships, or employment.

Technical Skills

  • Foundational understanding of machine learning, generative AI, and large language models.
  • Experience using cloud platforms (AWS or Azure) through coursework, internships, certifications, or projects.
  • Familiarity with:
    • REST APIs
    • Git version control
    • Containerization concepts
    • Data pipelines and databases
  • Understanding of prompt engineering, RAG concepts, or AI agents through academic or personal projects.
  • Strong analytical and problem-solving skills.

Certifications

One of the following is preferred within the first year of employment:

  • AWS Certified Cloud Practitioner or AWS Solutions Architect Associate
  • Microsoft Azure Fundamentals (AZ-900) or Azure AI Fundamentals (AI-900)

Preferred Qualifications

  • Academic or project experience with:
    • LangChain
    • LlamaIndex
    • Semantic Kernel
    • CrewAI
  • Exposure to vector databases such as Pinecone, Weaviate, FAISS, or Milvus.
  • Experience building AI, machine learning, or cloud-based capstone projects.
  • Familiarity with DevOps, MLOps, or CI/CD concepts.
  • Interest in federal government missions and emerging AI technologies.

Compensation

Salary Range

$85,000 – $105,000 annually

Salary will be determined based on education, certifications, internship experience, technical proficiency, and security clearance eligibility.

Benefits

  • Medical, Dental, and Vision Insurance
  • 401(k) with Employer Match
  • Paid Time Off and Federal Holidays
  • Professional Development and Certification Reimbursement
  • Career Growth and Mentorship Opportunities

Candidates may use tools (including AI) for proofreading or formatting; however, using any tool to fabricate, exaggerate, or misrepresent qualifications, experience, or work product is not permitted. We may assess application materials for job-related technical depth, internal consistency, and demonstrated hands-on experience, including through follow-up questions, skills assessments, or reference checks. Verification of education may be requested before or during the hiring process.

For security and identity verification purposes, participants may be asked to temporarily disable virtual backgrounds during portions of the call.

Misrepresentation or falsification may result in removal from further consideration. Candidates who need a reasonable accommodation in the application or interview process may request one.

A-TEK, Inc. is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or status as a qualified individual with a disability, or Vietnam era or other protected Veteran status.