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Artificial Intelligence Analyst Jobs (NOW HIRING)

Booz Allen Hamilton

All-Source Intelligence Analyst

Reston, VA · On-site

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

All-Source Intelligence Analyst The Opportunity: With all the information available today, it takes ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Booz Allen Hamilton

All-Source Intelligence Analyst

Reston, VA · On-site

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

All-Source Intelligence Analyst The Opportunity: With all the information available today, it takes ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Booz Allen Hamilton

All-Source Intelligence Analyst

Reston, VA

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

All-Source Intelligence Analyst The Opportunity: With all the information available today, it takes ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Booz Allen Hamilton

Cyber Intelligence Analyst

Washington, DC · On-site

$86K - $198K/yr

  • Medical

  • Life

  • Retirement

  • PTO

As a cyber intelligence analyst, you know that detailed threat analysis gives organizations a ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

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Artificial Intelligence Analyst information

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$41K

$100.1K

$154.5K

How much do artificial intelligence analyst jobs pay per year?

As of Aug 15, 2026, the average yearly pay for artificial intelligence analyst in the United States is $100,058.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,000.00 and $120,500.00 per year, depending on experience, location, and employer.

What does an artificial intelligence analyst do?

An Artificial Intelligence Analyst evaluates AI technologies, analyzes data trends, and helps develop AI-driven solutions for businesses. They work with machine learning models, data sets, and automation tools to optimize processes and improve decision-making. Their role often involves collaborating with data scientists, engineers, and business teams to implement AI strategies.

What does a typical workday look like for an artificial intelligence analyst?

A typical workday for an Artificial Intelligence Analyst involves collecting and preparing datasets, developing and testing machine learning models, and analyzing results to improve accuracy and performance. You may collaborate closely with data scientists, engineers, and business stakeholders to align AI initiatives with organizational goals. Additionally, frequent meetings to discuss findings, present data-driven insights, and refine strategies are common. Balancing technical tasks with effective communication ensures that AI solutions are both actionable and valuable to the company.

What are the key skills and qualifications needed to thrive as an artificial intelligence analyst?

An Artificial Intelligence Analyst typically requires a strong background in computer science, mathematics, and statistics, often supported by a relevant degree or certification. Familiarity with programming languages such as Python or R, experience with machine learning frameworks like TensorFlow or PyTorch, and proficiency in data visualization tools are commonly expected. Strong analytical thinking, problem-solving abilities, and effective communication skills set exceptional candidates apart. These skills ensure the analyst can develop, interpret, and clearly explain complex AI models to drive real-world business solutions.

What is the easiest artificial intelligence analyst job to get into?

Entry-level artificial intelligence analyst roles typically require a bachelor's degree in computer science, data science, or related fields, along with foundational knowledge of programming languages like Python and basic understanding of machine learning concepts. Gaining experience through internships, online courses, or certifications such as those in data analysis or AI tools can improve chances of entry. These positions often have lower experience requirements compared to senior roles and serve as a starting point in the AI field.
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Artificial Intelligence Analyst jobs near you
Infographic showing various Artificial Intelligence Analyst job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $100,058 per year, or $48.1 per hour.

Cybersecurity Analyst (Artificial Intelligence)

TiltEdge Solutions LLC

Washington, DC • On-site

$75/hr

Contractor

Re-posted 16 days ago

Job description

Job Title: Senior Cybersecurity Analyst (Artificial Intelligence)
Location: Washington D.C
Duration: 6-12 Months
Rate: DOE
 
Job Description:

Senior Cybersecurity Analyst (Artificial Intelligence)

Position Overview

We are seeking up to two (2) Cybersecurity Analysts with experience implementing artificial intelligence (AI) for computer network defense including intrusion detection, prevention and incident response activities. The ideal candidate will have deep expertise with traditional cybersecurity operations, activities, and technologies. The ideal candidate will also have experience working with a variety of AI technologies and models in a cybersecurity context. This position will require the development and delivery of AI-enabled cybersecurity processes, tools, and capabilities.

Key Responsibilities

  • Implement AI-enabled solutions for cybersecurity operations and adapt existing processes to integrate emerging AI capabilities into standard operations.
  • Provide key requirements, observations, design suggestions, and artifacts to inform the development of AI technologies that will support the adoption of AI technology into cybersecurity operations.
  • Monitor real-time network activity flagged by a variety of intrusion detection, prevention, and analysis platforms and analyze raw data, metadata, and event logs to confirm suspected intrusion attempts into either local (on-premises) or cloud computing systems and use that information to inform the creation of AI-enabled cyber defense capabilities.
  • Author and implement custom detection content for signature-based detection systems, security information and event management (SIEM) systems, host-based detection systems, and firewall logic.
  • Use security orchestration and automation tools, augmented with AI, to triage events and suggest improvements on existing detections to reduce false positives and rapidly remediate redundant or repetitive detections.
  • Investigate network anomalies and respond to cybersecurity incidents with a focus on AI-enabled cybersecurity operations.
  • Abide by all governance and standards as defined by the Board or levied by external entities to remain compliant with all requirements when implementing AI solutions.
  • Develop analytic products and reports that demonstrate the effectiveness of AI-enabled cybersecurity operations to include metrics, incident reports, and threat hunt analysis reports.

Required Qualifications

  • 5+ years of hands-on cybersecurity operations experience that includes use of technologies such as Splunk, CrowdStrike, Palo Alto, Trellix (FireEye), CoreLight, Cisco Firepower Threat Defense, etc.
  • 3+ years of hands-on cybersecurity operations experience that includes cloud resident technologies in Amazon Web Services, Microsoft Azure, Service Now, etc.
  • Hands on experience implementing AI solutions for a Security Operations Center (SOC) or Cybersecurity Operations team.
  • Experience using intrusion detection, prevention, and analysis platforms that are designed to identify and/or technically counter attempted intrusions.
  • Experience authoring and implementing custom detection content for signature-based detection systems, security information and event management (SIEM) systems, host-based detection systems, and firewall logic.
  • Experience monitoring real-time network activity flagged by a variety of intrusion detection, prevention, and analysis platforms and experience analyzing the resulting raw data, metadata, and event logs to confirm suspected intrusion attempts into either local (on-premises) or cloud computing systems.

Preferred Qualifications

  • Demonstrated experience implementing AI-enabled cybersecurity solutions in a SOC environment.
  • Experience operating in government environments that follow NIST, FISMA, FedRAMP, and OMB guidance.
  • Strong problem-solving and analytical skills
  • Excellent communication and documentation skills