AI Apprentice

US: Tryfacta•Austin, TX

1d•Onsite

About The Position

Tryfacta is seeking an AI Apprentice for a temporary 12-month contract assignment supporting TxDOT’s AI Strategic Plan. Under supervision, the apprentice helps build a governed pathway for developing entry-level AI talent and contributes to evaluating AI solutions, creating models and prototypes, documenting pipelines, and communicating findings. The role also provides direct support to the Planning & Administration team and business divisions exploring AI and automation opportunities.

Requirements

Typically 1–3 years of academic, internship, or entry-level experience in AI, data science, software engineering, or a related field.
Proficiency in Python.
Familiarity with object-oriented programming concepts.
Experience with version control.
Exposure to data analysis, data migration, and basic model development.
Understanding of basic software development and testing concepts.
Coursework toward or completion of a degree in Computer Science, Data Science, Engineering, Mathematics, or a related discipline.
Demonstrated interest in artificial intelligence, machine learning, and applied analytics.

Nice To Haves

Experience with data pipelines such as Airflow, Prefect, or cloud-native equivalents.
Familiarity with model deployment concepts such as REST APIs and serverless patterns.
Experience with cloud platforms or AI services such as AWS, Azure, GCP, or OCI.
Familiarity with containerization concepts such as Docker.
Knowledge of CI/CD fundamentals.
Familiarity with monitoring or model versioning concepts.

Responsibilities

Evaluate emerging AI trends, tools, and vendor solutions against defined business use cases.
Contribute to the development of AI/ML models and prototype applications for prioritized use cases.
Help design and document data and AI pipelines that integrate with existing systems.
Create reports, analyses, and presentations to communicate findings and outcomes.
Collaborate with data, engineering, software development, and governance teams.
Assist TPOs in identifying and assessing AI opportunities across supported divisions.
Create proofs of concept and pilots for AI and automation use cases.
Research, maintain documentation, analyze findings, and prepare reports for AI initiatives.
Support AI governance activities, develop risk assessments, and maintain compliance documentation.
Assess vendor AI capabilities and emerging AI technologies.
Maintain and support AI applications developed for the divisions.
Contribute to AI modernization initiatives in divisions such as AVN, MRD, RTI, RRD, and other business areas exploring automation opportunities.
Serve as an administrator for enterprise applications.