AI Solutions Developer
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Job Location:
Arlington, TX - USA
Monthly Salary:
Not Disclosed
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
Job Summary
The AI Solutions Developer designs develops and deploys advanced natural language processing solutions using SDLC to enhance UTAs digital services and academic operations. This role brings innovative AI capabilities to institutional workflows by leveraging expertise in Python Azure AI Foundry and machine learning to build scalable user-centric AI applications. The developer collaborates with cross-functional teams to optimize AI-driven interactions for students faculty and staff.
Essential Duties And Responsibilities
Designs AI-powered prototypes and solutions that improve university operations and learning environments. Builds and implements applications that utilize machine learning natural language processing and other AI technologies. Supports maintains and refines AI systems to ensure reliability scalability and effective performance across university use cases. Develops trains and fine-tunes machine learning models for a variety of university applications. Conducts experiments to evaluate model performance using appropriate metrics and validation techniques around model compression & efficiency model fine-tuning regularization and optimization metrics. Analyzes results and implement improvements to enhance model accuracy efficiency and overall effectiveness. Integrates AI components into existing systems. Optimizes system performance for reliability scalability and maintainability. Conducts through testing to validate functionality performance and overall user experience. Troubleshoots and resolves issues in both development and production environments. Develops solutions throughout the full software development life cycle on technical specifications. Applies industry best practices and appropriate toolsets when designing and implementing solutions. Assists in creating clear comprehensive documentation for all developed solutions. Collaborates closely with cross-functional teams-including OIT data custodians developers and product managers-to ensure AI projects align with organizational goals. Stays current with emerging AI technologies and incorporates relevant advancements into solutions. Ensures all AI solutions adhere to federal state and university policies and legal requirements regarding accessibility privacy and ethics standards. Performs other duties as assigned.
Minimum Qualifications
Bachelors degree in computer science Data Science Software Engineering a related field. Three (3) years of experience in Artificial Intelligence or Machine Learning development with a focus on Natural Language Processing and application development or seven (7) years of an equivalent combination of education and experience.
Preferred Qualifications
Masters degree in computer science Data Science or related field. Five (5) years of experience in AI engineering and solutions development. Experience with cloud-based AI deployment (Azure Amazon Web Services Google Cloud Platform). Professional certifications in AI NLP machine learning or cloud technologies. Experience with Azure AI Foundry and cloud integration.
Work Schedule
Monday Friday 8:00 AM 5:00 PM With an understanding of the 24/7 nature of IT.
The AI Solutions Developer designs develops and deploys advanced natural language processing solutions using SDLC to enhance UTAs digital services and academic operations. This role brings innovative AI capabilities to institutional workflows by leveraging expertise in Python Azure AI Foundry and machine learning to build scalable user-centric AI applications. The developer collaborates with cross-functional teams to optimize AI-driven interactions for students faculty and staff.
Essential Duties And Responsibilities
Designs AI-powered prototypes and solutions that improve university operations and learning environments. Builds and implements applications that utilize machine learning natural language processing and other AI technologies. Supports maintains and refines AI systems to ensure reliability scalability and effective performance across university use cases. Develops trains and fine-tunes machine learning models for a variety of university applications. Conducts experiments to evaluate model performance using appropriate metrics and validation techniques around model compression & efficiency model fine-tuning regularization and optimization metrics. Analyzes results and implement improvements to enhance model accuracy efficiency and overall effectiveness. Integrates AI components into existing systems. Optimizes system performance for reliability scalability and maintainability. Conducts through testing to validate functionality performance and overall user experience. Troubleshoots and resolves issues in both development and production environments. Develops solutions throughout the full software development life cycle on technical specifications. Applies industry best practices and appropriate toolsets when designing and implementing solutions. Assists in creating clear comprehensive documentation for all developed solutions. Collaborates closely with cross-functional teams-including OIT data custodians developers and product managers-to ensure AI projects align with organizational goals. Stays current with emerging AI technologies and incorporates relevant advancements into solutions. Ensures all AI solutions adhere to federal state and university policies and legal requirements regarding accessibility privacy and ethics standards. Performs other duties as assigned.
Minimum Qualifications
Bachelors degree in computer science Data Science Software Engineering a related field. Three (3) years of experience in Artificial Intelligence or Machine Learning development with a focus on Natural Language Processing and application development or seven (7) years of an equivalent combination of education and experience.
Preferred Qualifications
Masters degree in computer science Data Science or related field. Five (5) years of experience in AI engineering and solutions development. Experience with cloud-based AI deployment (Azure Amazon Web Services Google Cloud Platform). Professional certifications in AI NLP machine learning or cloud technologies. Experience with Azure AI Foundry and cloud integration.
Work Schedule
Monday Friday 8:00 AM 5:00 PM With an understanding of the 24/7 nature of IT.
Required Experience:
IC
Key Skills
- Organizational Management
- Presentation Skills
- Agile
- SAFe
- AWS
- Solution Architecture
- Conflict Management
- Data Management
- Scrum
- Team Management
- Pre-sales
- Management Consulting
About Company
An educational leader in the thriving North Texas region, UTA nurtures minds within an environment that values excellence, ingenuity, and diversity.
