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Artificial Intelligence Engineer Intern Jobs (NOW HIRING)

Synergy Business Consulting, Inc.

NY · On-site

Bachelor's degree in Computer Science, Cybersecurity, Software Engineering, Artificial Intelligence, or a related field. * 3+ years of experience in software engineering, AI/ML, cybersecurity ...

New

MarketOnce

Artificial Intelligence Engineer

Denver, CO · On-site

$140K - $175K/yr

We are seeking an experienced Artificial Intelligence Engineer who specializes in delivering end-to-end AI solutions using Agentic AI frameworks and Generative AI technologies. This role demands ...

Stock Group Analytics

$84K - $101K/yr

Position Summary AI Engineers are responsible for designing, developing, and deploying machine ... Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or related field ...

Triumph Enterprises, Inc

We are seeking an Artificial Intelligence Engineer to apply machine learning and large language models to cybersecurity operations and to own the evaluation methodology that determines whether an AI ...

Epsilon

Artificial Intelligence Engineer

Irving, TX

$73K - $136K/yr

Overview How You'll Make an Impact As an AI Engineer, you will play a critical role in building and ... MS degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (or ...

SLB

Artificial Intelligence Engineer

Houston, TX

$99K - $133K/yr

The Domain AI Integration Engineer will be responsible for integrating advanced Artificial Intelligence and Generative AI capabilities into the company's domain software systems (e.g. Delfi, Lumi ...

Innovaccer Inc.

About the Role We are looking for an AI Engineer to join our growing AI team and help build ... The Healthcare Intelligence Cloud equips every stakeholder in the patient journey to turn ...

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How much do artificial intelligence engineer intern jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for artificial intelligence engineer intern in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What does an artificial intelligence engineer intern do?

An Artificial Intelligence (AI) Engineer Intern assists in designing, developing, and testing AI models and algorithms under the guidance of experienced engineers. Their daily tasks may include data preprocessing, training machine learning models, evaluating model performance, and collaborating with team members on various AI projects. Interns often work with programming languages such as Python, and may utilize frameworks like TensorFlow or PyTorch. This role provides hands-on experience in applying AI techniques to real-world problems and helps interns build skills necessary for a career in artificial intelligence.

What types of projects and collaborations can an artificial intelligence engineer intern expect during their internship?

As an Artificial Intelligence Engineer Intern, you'll likely work on a variety of hands-on projects such as developing machine learning models, assisting with data preprocessing, and supporting the deployment of AI solutions. Interns often collaborate with cross-functional teams including data scientists, software engineers, and product managers to solve real-world business problems. You’ll gain exposure to production environments, code reviews, and may participate in team meetings or brainstorming sessions. This structure provides valuable experience and networking opportunities, while also allowing you to contribute meaningfully to ongoing projects.

What are the key skills and qualifications needed to thrive as an artificial intelligence engineer intern, and why are they important?

To thrive as an Artificial Intelligence Engineer Intern, you need a strong background in computer science fundamentals, programming (especially Python), and foundational knowledge of machine learning concepts, often supported by coursework or relevant projects. Familiarity with AI frameworks such as TensorFlow or PyTorch, experience with data analysis tools, and understanding of version control systems like Git are typically required. Curiosity, critical thinking, and effective communication help interns learn quickly, collaborate with teams, and contribute innovative ideas. These skills and qualities enable interns to contribute meaningfully to AI projects, adapt to new challenges, and build a solid foundation for a future career in AI engineering.

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Artificial Intelligence Engineer

NY • On-site

Synergy Business Consulting, Inc.
IT Services • 51 - 200 employees
Learn more about Synergy Business Consulting, Inc.external

Other

Posted 2 days ago

New

Job description

AI Engineer - Agentic Systems & AI Security Relocation assistance available About the Role

We are seeking a hands-on AI Engineer to join a newly established AI Security team supporting the enterprise adoption of Generative AI and agentic technologies.

This role sits at the intersection of AI engineering, agentic systems, software development, and cybersecurity. You will help application teams build more secure AI agents by developing automation, security controls, evaluation frameworks, and reusable tooling that protect AI applications from emerging threats.

This is an opportunity to help shape enterprise AI security practices from the ground up and have a direct impact on how AI agents are designed, deployed, and secured.

Key Responsibilities
  • Design, build, and maintain security controls and guardrails for GenAI and agentic applications.
  • Develop primarily Python-based scripts, programs, and automation to operationalize AI security controls.
  • Evaluate and improve LLM prompts, agent behavior, and tool interactions.
  • Identify and mitigate prompt injection, jailbreaks, and AI tool misuse.
  • Build automated evaluation frameworks and regression testing for AI agents and LLM applications.
  • Integrate AI security controls and testing into CI/CD pipelines and engineering workflows.
  • Develop reusable libraries, SDKs, templates, and secure AI development patterns.
  • Support AI red teaming and translate security findings into practical engineering improvements.
  • Help enforce identity, access, and data-protection controls at the prompt and tool-invocation layer.
  • Define secure prompting and agentic development best practices and drive adoption across engineering teams.
  • Research and evaluate emerging AI security technologies and tools.
  • Partner with engineering, security, and business stakeholders to communicate AI security risks and recommendations.
Required Qualifications
  • Bachelor’s degree in Computer Science, Cybersecurity, Software Engineering, Artificial Intelligence, or a related field.
  • 3+ years of experience in software engineering, AI/ML, cybersecurity, platform engineering, or a related discipline.
  • Strong hands-on Python development and scripting experience.
  • Experience working with Generative AI, LLMs, or AI agents.
  • Understanding of agentic architectures, LLM orchestration, and AI application development.
  • Knowledge of prompt engineering and prompt-security concepts.
  • Understanding of threats such as prompt injection, jailbreaks, and tool misuse.
  • Experience with CI/CD, APIs, version control, testing, and automation.
  • Working knowledge of application/API security and data protection.
  • Familiarity with Identity & Access Management (IAM), OAuth, or least-privilege principles is highly desirable.
  • Familiarity with OWASP Top 10 for LLM Applications and/or NIST AI RMF is a plus.
  • Strong communication skills and ability to explain technical concepts to non-technical stakeholders.
Preferred Experience
  • Experience with LangChain, LangGraph, AutoGen, CrewAI, or similar agentic frameworks.
  • AI security or application security experience.
  • Experience with AI red teaming or LLM security testing.
  • Experience securing AI workloads in AWS and/or Azure.
  • Knowledge of MCP and secure tool invocation.
  • Experience building security automation or developer security tooling.
Why Join?
  • Help establish a new enterprise AI Security capability from the ground up.
  • Work with cutting-edge GenAI and agentic technologies.
  • Influence AI security standards, architecture, and engineering practices.
  • Build solutions that protect enterprise and customer information assets.
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