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Artificial Intelligence Developer Jobs (NOW HIRING)

Stefanini

Artificial Intelligence Engineer

Dearborn, MI

$97K - $132K/yr

... Artificial Intelligence & Expert Systems, SQL, Python Experience RequiredSenior Specialist Exp: 7+ experience in relevant field.6-8 years in Software or Data Engineering, with a strong emphasis on ...

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How much do artificial intelligence developer jobs pay per year?

As of Jun 6, 2026, the average yearly pay for artificial intelligence developer in the United States is $121,322.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,500.00 and $154,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Developer, and why are they important?

To thrive as an Artificial Intelligence Developer, you need a solid background in computer science, mathematics, and programming languages such as Python, along with experience in machine learning and data analysis. Familiarity with frameworks and tools like TensorFlow, PyTorch, and cloud computing platforms, as well as relevant certifications, is often required. Strong problem-solving abilities, creativity, and effective teamwork are vital soft skills for excelling in this field. These skills and qualities are crucial because they enable the development of innovative AI solutions that address complex real-world challenges efficiently and collaboratively.

What are some common challenges faced by Artificial Intelligence Developers when deploying machine learning models into production environments?

Artificial Intelligence Developers often encounter challenges when moving machine learning models from development to production, such as managing data pipeline integration, ensuring model scalability, and monitoring model performance over time. Addressing issues like data drift, ensuring reproducibility, and meeting latency requirements for real-time applications can also be complex. Collaboration with data engineers, DevOps teams, and business stakeholders is crucial to ensure a smooth deployment process and ongoing model maintenance. By proactively planning for these challenges, AI Developers can help deliver reliable and effective AI solutions.

What are Artificial Intelligence Developers?

Artificial Intelligence Developers are professionals who design, build, and implement AI-powered systems and applications. They use programming languages like Python, R, or Java, and work with machine learning frameworks to create algorithms capable of learning from data. Their responsibilities include developing AI models, testing and deploying solutions, and ensuring that AI systems perform accurately and efficiently. AI Developers often collaborate with data scientists, engineers, and business stakeholders to integrate AI technologies into products and services.

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

AspectArtificial Intelligence DeveloperData Scientist
Required CredentialsBachelor's or master's in CS, AI, or related fields; programming skills in Python, JavaBachelor's or master's in CS, Statistics, or related fields; strong programming and statistical skills
Work EnvironmentDevelops AI models, algorithms, and applications; often in tech companies or R&D labsAnalyzes data, builds models, and provides insights; in tech, finance, healthcare sectors
Employer & Industry UsageUsed by tech firms, startups, research institutions focusing on AI solutionsUsed across industries for data analysis, predictive modeling, and decision support

While both roles require programming and a strong understanding of data, Artificial Intelligence Developers focus on creating AI systems and algorithms, whereas Data Scientists analyze data to generate insights and build predictive models. Both roles often collaborate but serve different primary functions within tech and data-driven organizations.

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Artificial Intelligence Developer jobs near you
Artificial Intelligence Engineer II

Artificial Intelligence Engineer II

Baylor College of Medicine

Houston, TX • On-site

$88K - $104K/yr

Full-time

Posted 3 days ago

Baylor College of Medicine rating

8.6

Company rating: 8.6 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

50th of 532 rated colleges and universities

Job description

Job Title: Artificial Intelligence Engineer II
Division: Neurology
Work Arrangement: Onsite only
Location: Houston, TX
Salary Range: $88,583 - $104,215
FLSA Status: Exempt
Work Schedule: Monday - Friday, 8 a.m. - 5 p.m.
Summary
The department of Neurology at Baylor College of Medicine is looking for an experienced Artificial Intelligence Engineer II to support Dr. Ihab Hajjar. In this position, you will support the development and evaluation of machine learning and natural language processing systems for clinical research applications, with a focus on building reproducible data pipelines, analyzing multimodal data (e.g., speech and text), and contributing to model design, validation, and deployment. The role emphasizes collaboration with interdisciplinary teams and adherence to data governance and research standards while advancing methods relevant to AI engineering and research.
Job Duties
Machine Learning Systems & AI Engineering - 30%
  • Develop and maintain pipelines (Python-based) for data processing, feature extraction, and model evaluation.
  • Implement and test machine learning and NLP models, including training, fine-tuning, and benchmarking.
  • Conduct error analysis and iterative model improvement using structured experiments.
  • Build modular, reusable code to support reproducible experiments and configuration-driven workflows.

Data Management, Quality Control, and Reproducibility -30%
  • Perform exploratory data analysis to assess data quality.
  • Implement validation checks, logging, and documentation to ensure data integrity and traceability.
  • Maintain structured datasets and features to support reproducible research workflows.
  • Support versioning and organization of data and model artifacts.

Deployment, Inference, and Monitoring - 20%
  • Support model deployment in batch or research-oriented environments.
  • Implement and monitor inference workflows, including runtime performance and reliability.
  • Assist with maintaining pipelines as models or APIs evolve.
  • Contribute to improving efficiency, scalability, and robustness of model execution.

Responsible AI, Security, and Compliance - 10%
  • Follow institutional policies for handling PHI and sensitive research data.
  • Apply best practices for data security, access control, and safe logging.
  • Document model limitations, assumptions, and validation procedures.
  • Support responsible use of AI systems in clinical research settings.

Collaboration, Communication, and Development -10%
  • Collaborate with clinical and technical team members on research projects.
  • Summarize methods, results, and risks for mixed audiences.
  • Contribute to figures, tables, and written materials for reports or publications.
  • Stay current with developments in machine learning, NLP, and AI systems.
  • Perform other job-related duties as assigned.

Minimum Qualifications
  • Bachelor's degree in Computer Sciences, Statistics, Mathematics, or a related field.
  • Two years of relevant experience.

Preferred Qualifications
  • Master's degree in Computer Sciences, Statistics, Mathematics, or a related field.

Work Authorization Requirement:
This position is not eligible for visa sponsorship. Candidates must be legally authorized to work in the United States at the time of application and throughout the duration of employment.
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
Requisition ID: 25317

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