AI Developer, Data Analytics & Technology

University of Tennessee College of Arts & Sciences

. Report to the Director of Data Analytics & Technology Transformation .

Posted 9/23/2026full-timeKnoxville • Tennessee • United StatesJuniorMid-Level💰 $85,000 - $95,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying AI/ML models, with a strong focus on Python programming, API development, and database management. Capable of translating stakeholder requirements into effective technical solutions while providing training and support for AI tools.

Highest-signal resume keywords

Python ProgrammingAI/ML Model DevelopmentAPI DevelopmentGraph and Relational Database ManagementStakeholder Requirement Gathering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/ML ConceptsModel Development MethodologiesDeployment Best PracticesTroubleshooting and DebuggingGraph Database SolutionsRelational Database SolutionsPrompt EngineeringRAG PipelinesTechnical DocumentationCode Review

Soft Skills

CommunicationCollaborationTraining

Tools & Technologies

Neo4jMySQLPostgreSQLTensorFlowPyTorchAzureAWSGit

Certifications & Qualifications

Azure AI CertificationAWS ML Certification

Industry Keywords

AI ToolsGenerative AISystem IntegrationCloud InfrastructureTechnical Recommendations

Tech Stack

Tools & technologies

AWSAzureCloudMySQLNeo4jPostgresPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Report to the Director of Data Analytics & Technology Transformation
Develop and maintain AI-driven applications and tools using Python and other relevant programming languages
Design, implement, and manage APIs for system and platform integration
Design and implement graph and relational database solutions, including Neo4j, MySQL, and PostgreSQL
Train, fine-tune, and deploy AI/ML models, including LLMs and generative AI solutions
Develop RAG pipelines and prompt-engineering strategies
Design, deploy, test, and maintain medium- to large-scope projects
Manage AI/ML product licenses and cloud infrastructure
Collaborate with analysts, academic, finance, research, leadership, faculty, vendors, campus partners, and OIT
Gather requirements and develop cost-effective AI solutions for academic, operational, and research needs
Communicate project status and technical recommendations to technical and non-technical stakeholders
Provide regular project updates to the Director
Conduct code reviews and troubleshoot deployed applications and AI models
Evaluate emerging AI tools, frameworks, and platforms
Create technical documentation, API specifications, database schemas, and user documentation
Develop and deliver stakeholder training on AI tools and best practices
Provide post-implementation support for deployed AI applications and solutions

Requirements

What you’ll need

Bachelor’s degree in Computer Science or a related field
2 years of relevant experience developing and deploying AI/ML models professionally, or 6 years of equivalent combined education, training, and experience
Experience with relational and/or graph database design and management
Experience with API development and system integration
Experience gathering stakeholder requirements and translating them into technical solutions
Knowledge of AI/ML concepts, model development methodologies, and deployment best practices
Knowledge of LLMs, generative AI concepts, and practical application frameworks
Knowledge of graph and relational database platforms
Knowledge of API development, management, and system integration best practices
Python and other programming languages relevant to AI/ML development
Ability to troubleshoot and debug complex technical issues across applications and AI models
Applicants must be legally authorized to work full-time in the United States without current or future employment-based visa sponsorship
Preferred: Master’s degree in Computer Science, Artificial Intelligence, or related field
Preferred: AI/ML platform certifications such as Azure AI or AWS ML
Preferred: Experience with TensorFlow or PyTorch, vector databases, agentic AI frameworks, Azure or AWS, and Git

Benefits

Comp & perks

Career development and coaching
Continued education
Extensive development and training opportunities
Work-life balance support
Compensation and innovation leadership focus
Hybrid work arrangement