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Drone Artificial Intelligence Engineer Jobs (NOW HIRING)

SLB

Artificial Intelligence Engineer

Houston, TX · On-site

$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 ...

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 ...

Epsilon

Artificial Intelligence Engineer

Irving, TX · On-site

$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 ...

KLA-Belgium

$150 - $200/hr

## Artificial Intelligence EngineerApplylocations: Milpitas, CAtime type: Full timeposted on: Posted 5 ... Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ...

Triumph Enterprises, Inc

$150 - $200/hr

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 ...

Innovaccer Inc.

$150 - $200/hr

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 ...

Elio

Artificial Intelligence Engineer

San Mateo, CA · On-site

$139K - $183K/yr

You will serve as the software engineering leader within the AI team, establishing best practices for code quality, architecture, testing, and deployment while working closely with AI researchers to ...

Insperity

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

We are seeking an Artificial Intelligence Engineer III to join our team Summary: This position is responsible for designing, delivering, and owning complex, production grade artificial intelligence ...

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Drone Artificial Intelligence Engineer information

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$44K

$106.4K

$173.5K

How much do drone artificial intelligence engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for drone artificial intelligence engineer in the United States is $106,386.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,000.00 and $132,500.00 per year, depending on experience, location, and employer.

What is a drone artificial intelligence engineer?

Drone Artificial Intelligence Engineers are professionals who design, develop, and implement AI systems for unmanned aerial vehicles (drones). Their work involves integrating machine learning algorithms, computer vision, and data processing techniques to enable drones to perform tasks autonomously, such as navigation, object detection, and data analysis. These engineers collaborate with hardware and software teams to optimize drone performance for applications like agriculture, surveillance, delivery, and mapping. They also ensure that AI solutions comply with safety and regulatory standards, making drones smarter and more efficient.

What are the key skills and qualifications needed to thrive as a drone artificial intelligence engineer?

To thrive as a Drone Artificial Intelligence Engineer, you need strong programming skills (especially in Python and C++), a background in machine learning, robotics, and a relevant degree in computer science, engineering, or a related field. Proficiency with AI frameworks (such as TensorFlow or PyTorch), UAV simulation tools, and experience with embedded systems are typically expected. Creative problem-solving, analytical thinking, and effective teamwork are crucial soft skills for designing innovative drone solutions. These competencies ensure the development of intelligent, reliable drone systems that meet complex real-world challenges.

How do drone artificial intelligence engineers typically collaborate with hardware and software teams during project development?

Drone Artificial Intelligence Engineers often work closely with both hardware and software teams to ensure seamless integration of AI algorithms with drone systems. This collaboration involves frequent meetings to discuss sensor capabilities, processing requirements, and real-time data handling. Engineers may also participate in joint testing sessions to troubleshoot issues and optimize performance. Effective communication and cross-functional teamwork are essential for aligning AI solutions with the drone's operational constraints and mission objectives.

What is the difference between Drone Artificial Intelligence Engineer vs Drone Software Developer?

AspectDrone Artificial Intelligence EngineerDrone Software Developer
Required CredentialsBachelor's or higher in AI, Robotics, or Computer Science; experience with AI frameworksBachelor's in Computer Science or related; programming skills in software development
Work EnvironmentResearch labs, tech companies, drone manufacturing firmsSoftware firms, drone companies, tech startups
Employer & Industry UsageFocuses on AI algorithms for autonomous drone decision-makingDevelops drone control software, applications, and firmware

The main difference is that Drone Artificial Intelligence Engineers specialize in creating AI algorithms for autonomous drone functions, while Drone Software Developers focus on coding and implementing software for drone operation. Both roles often collaborate but serve distinct technical purposes within the drone industry.

Is drone artificial intelligence engineering a good career?

Drone artificial intelligence engineering is a growing field that involves developing AI systems for autonomous drone operation, requiring skills in machine learning, computer vision, and robotics. It offers opportunities in industries such as defense, agriculture, and logistics, with demand for specialized knowledge increasing as drone technology advances.

What are popular job titles related to Drone Artificial Intelligence Engineer jobs?

For Drone Artificial Intelligence Engineer jobs, the most frequently searched job titles are:

Infographic showing various Drone Artificial Intelligence Engineer job openings in the United States as of September 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $106,386 per year, or $51.1 per hour.

Artificial Intelligence Engineer

Washington, DC • On-site

Stock Group Analytics
IT Services • 1 - 10 employees
Learn more about Stock Group Analyticsexternal

$150 - $200/hr

Other

Posted 8 days ago

Job description

Position Summary

AI Engineers are responsible for designing, developing, and deploying machine learning models and intelligent automation solutions aligned with Government’s mission needs. These individuals work on the full AI/ML lifecycle from use case identification and prototyping through production deployment and sustainment, ensuring solutions are ethical, secure, and compliant with federal AI guidelines.

Key Responsibilities
  • Design, develop, and sustain AI/ML models for predictive analytics, computer vision, NLP, and other use cases
  • Identify and evaluate high-impact AI/ML use cases in collaboration with Government stakeholders
  • Execute rapid pilot projects in short sprints to demonstrate business value
  • Develop and deploy intelligent automation workflows integrating AI capabilities with RPA
  • Build and fine-tune Generative AI solutions including chatbots and copilot assistants
  • Implement Natural Language Processing (NLP) and Intelligent OCR solutions for unstructured data
  • Research emerging AI tools and techniques and recommend those that improve efficiency
  • Ensure AI outputs are interpretable and bias-mitigated in compliance with federal AI guidelines
  • Embed Responsible AI principles (transparency, fairness, explainability) in all deployments
  • Support establishment of AI Governance Framework and AI Governance Board
  • Integrate AI models into production systems with appropriate monitoring and logging
  • Document AI model architectures, training data, and performance metrics
Required Qualifications
  • Education: Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or related field (Master's or Ph.D. preferred)
  • Experience: 5+ years of hands-on experience in AI/ML solutions development
  • Technical Skills:
    • Proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn)
    • Experience with cloud AI platforms (Azure Machine Learning, Azure OpenAI, AWS SageMaker)
    • Knowledge of NLP techniques and tools (spaCy, Hugging Face, NLTK)
    • Experience with computer vision frameworks and OCR technologies
    • Understanding of MLOps practices for model deployment and monitoring
    • Familiarity with RPA platforms (UiPath, Power Automate) for intelligent automation
  • Other Requirements:
    • Strong software development skills
    • Understanding of ethical AI and Responsible AI principles
Preferred Qualifications
  • Experience deploying AI solutions in federal government environments
  • Familiarity with FedRAMP High authorized cloud platforms (Azure Government)
  • Experience with Microsoft Copilot technologies and Azure OpenAI Service
  • Knowledge of AI governance frameworks and federal AI guidelines
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