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Phd Artificial Intelligence Jobs (NOW HIRING)

SAIC

Artificial Intelligence (AI) SETA

Chantilly, VA

$200K - $240K/yr

PhD or JD and nine (9) years or more experience * Four years of relevant experience may substitute ... Expertise on Artificial Intelligence and high-performance computing topics * Proficiency with ...

SAIC

Artificial Intelligence (AI) SETA

Chantilly, VA · On-site

$200K - $240K/yr

PhD or JD and nine (9) years or more experience * Four years of relevant experience may substitute ... Expertise on Artificial Intelligence and high-performance computing topics * Proficiency with ...

Covestro

Senior Artificial Intelligence Engineer

Baytown, TX · Hybrid

$95K - $130K/yr

The Senior Artificial Intelligence (AI) Engineer designs, develops, and deploys artificial ... OR PhD with 3+ years experience * 3+ years of experience in AI/ML engineering, with demonstrated ...

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Phd Artificial Intelligence information

What is a PhD in artificial intelligence?

A PhD in Artificial Intelligence is an advanced academic degree focused on original research in AI topics such as machine learning, natural language processing, robotics, and computer vision. Students pursuing this degree typically conduct in-depth research, publish scholarly articles, and develop new algorithms or AI systems. The program prepares graduates for careers in academia, industry research labs, or leadership roles in technology companies. Completing a PhD in AI generally takes several years and culminates in a dissertation that contributes new knowledge to the field.

What are the key skills and qualifications needed to thrive as a PhD in artificial intelligence?

To thrive as a PhD in Artificial Intelligence, you need advanced knowledge in machine learning, deep learning, statistics, and programming, supported by a doctoral degree in computer science or a related field. Expertise with frameworks like TensorFlow or PyTorch, experience in research methodologies, and familiarity with large datasets are typically required. Strong analytical thinking, creativity, and effective communication skills distinguish successful AI researchers and professionals. These skills are crucial for driving innovation, publishing high-impact research, and collaborating effectively within multidisciplinary teams.

What are some typical career paths and advancement opportunities for professionals with a PhD in artificial intelligence?

Professionals with a PhD in Artificial Intelligence often have diverse career paths, including roles in academia, research labs, or industry-leading tech companies. Many start as research scientists or AI specialists, working on advanced machine learning projects, and can progress to lead research teams or assume managerial positions overseeing AI-driven initiatives. Additionally, some choose to become professors or principal investigators, contributing to academic research and mentoring graduate students. The rapid growth of AI means there are also opportunities to transition into product development, consulting, or even launching AI-focused startups.

What is the difference between Phd Artificial Intelligence vs Data Scientist?

AspectPhd Artificial IntelligenceData Scientist
Required CredentialsPhD in AI, Computer Science, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentResearch labs, academia, R&D departmentsBusiness, tech companies, analytics teams
Employer & Industry UsageResearch institutions, universities, AI-focused companiesCorporate, finance, healthcare, tech industries
Common Search & Comparison IntentUnderstanding advanced research roles in AIData analysis, modeling, and insights in industry

While a Phd in Artificial Intelligence emphasizes research, development, and theoretical understanding of AI systems, a Data Scientist focuses on analyzing data, building predictive models, and deriving actionable insights for businesses. Both roles require strong technical skills, but their primary applications and work environments differ significantly.

Is a PhD in artificial intelligence worth it?

A PhD in artificial intelligence can lead to advanced research, academic positions, and specialized roles in industry such as AI scientist or machine learning engineer. It typically requires strong programming skills, knowledge of algorithms, and familiarity with tools like Python and TensorFlow, and can significantly increase earning potential and job opportunities in AI-focused fields.

What can you do with a PhD in Artificial Intelligence?

A PhD in Artificial Intelligence prepares individuals for advanced research, development, and leadership roles in academia, industry, or government. Graduates often work as AI researchers, data scientists, machine learning engineers, or AI consultants, utilizing skills in programming, data analysis, and algorithm development to solve complex problems. They may also contribute to innovation in areas like robotics, natural language processing, and computer vision.

What is the salary of a PhD in artificial intelligence?

A PhD in artificial intelligence typically earns between $100,000 and $150,000 annually in industry roles, depending on experience, location, and the specific employer. Academic positions may offer lower salaries but often include research funding and teaching responsibilities.
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Phd Artificial Intelligence jobs near you
Infographic showing various Phd Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.

Artificial Intelligence (AI) SETA

SAIC

Chantilly, VA

$200K - $240K/yr

Full-time

Posted 23 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

80th of 225 rated it services

Job description

Job ID: 2615145

Location: Chantilly, VA, US

Date Posted: 2026-07-30

Category: Engineering and Sciences

Subcategory: Sys Integration

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: TS.SCI_wPoly

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_ON_SITE


Description

The Customer’s Artificial Intelligence (AI) Research Team Systems Engineering and Technical Assistant (SETA) role is a full-time position central to the coordination and smooth daily operation of the AI Research Team and associated IC-level activities.  As part of the AI research team, the SETA will be trusted to coordinate and manage activities related to a variety of sensitive topics to include intelligence writing, strengthening research proposals, and hands-on support to technical activities.  The SETA must be adaptable, resilient under pressure, and capable of operating both independently and in team settings.

Specific Responsibilities include (but are not limited to):

  • Leverage AI expertise to support the AI research team’s technical initiatives
  • Contribute to research ideation and execution through peer review, concept of operations formulation, and partner engagement
  • Interpret technical data on AI-related experiments
  • Draft, coordinate, and publish technical documents for customers and IC partners

Qualifications

Required Qualifications:

  • Current TS/SCI clearance with active polygraph 
  • Bachelors and fourteen (14) years or more experience; Masters and twelve (12) years or more experience; PhD or JD and nine (9) years or more experience
    • Four years of relevant experience may substitute in lieu of a degree and at least eight years of work experience
  • Prior Customer experience with knowledge of Intelligence Community applications, systems, tools, and protocols
  • Expertise on Artificial Intelligence and high-performance computing topics
  • Proficiency with programming languages for data manipulation (Unix, Python, etc.)
  • Proficiency in Outlook, Word, Excel, PowerPoint, and Project applications
  • Proven ability to effectively manage competing priorities as well as anticipate requirements and potential issues
  • Demonstrated sound judgement and discretion
  • Proven ability to adaptively prioritize time-sensitive issues
  • Self-starter who is flexible and willing to meet challenges and changing needs of dynamic organization
  • Proven track record of being a team player who is willing to pitch in and get the job done
  • Experience with intelligence production and dissemination
  • Excellent oral, written, and presentation skills

Desired Qualifications:

  • Experience with intelligence production and dissemination
  • Excellent oral, written, and presentation skills
  • Previous experience deriving value from large technical collections of data

Target salary range: $200,001 - $240,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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