The Role

TheAIEngineeris a member of a highlymotivated CAA Tech team responsible for accelerating the creation of opportunity through the strategic use of data. In this role, you will design and build intelligent systems that transform complex information into structured knowledge and actionable insights using modern AI, machine learning, and generative approaches to solve complex business problems.  You will operate across the full lifecycle, from experimentation and evaluation to deployment and optimization, developing solutions that ingest, interpret, and reason over large volumes of data. The ideal candidate combines strong software engineering fundamentals with hands on experience building applied AI systems that operate reliably in production environments and deliver measurable business impact.

Responsibilities 
 

Development of AI Solutions

• Design and implement end to end AI workflows for complex data interpretation, knowledge extraction, and reasoning 

• Build systems that convert unstructured content into structured representations 

• Develop and optimize retrieval approaches that combine semantic and lexical search techniques 

• Prototype, evaluate approaches, test feasibility, and productionize generative AI solutions for real world use cases 

• Partner with engineering teams to develop technology infrastructure 

• Optimize systems for latency, cost, and throughput 

Evaluation, Reliability, and Quality 

• Design and implement evaluation approaches to assess performance, relevance, and effectiveness of AI solutions 

• Apply techniques to improve consistency, accuracy, and trustworthiness of outputs 

• Implement methods for scoring, explainability, and ongoing quality assurance 

• Monitor deployed solutions and data pipelines for performance, stability, and data quality over time 

Data Wrangling: 

• Identify data sources that can be useful to answer business questions 

• Perform experiments on ingested data to evaluate quality and integrity 

• Build data pipelines for ongoing data extraction 

Collaboration and Communication 

• Work closely with cross functional team to align data science initiatives with business priorities 

• Partner with leadership to identify and prioritize high impact opportunities for data science applications 

• Present insights and recommendations through clear visualizations tailored for audiences across different roles and expertise levels 

Qualifications

• Minium of 6 years building AI, Machine Learning and NLP solutions 

• Minimum 3 years building applied AI/LLM and generative systems in production environments 

• Bachelor’s degree in a relevant field such Mathematics, Science, Engineering, or Computer Science. Master’s Degree in relevant discipline preferred 

• Strong programming skills in Python and experience building data and AI pipelines 

• Experience with information retrieval, semantic search, or knowledge driven systems 

• Experience with relational, non relational and semantic data stores 

• Strong software engineering fundamentals (APIs, system design, testing, version control)

• Experience with Natural Language Processing methods and applications preferred

• Excellent analytical and problemsolving skills

• Demonstrated initiative and ownership of tasks and projects

• Ability to prioritize, coordinate, and complete tasks to meet deadlines

• Ability to work effectively both independently and in team environments

• Ability to present complex problems in simple terms
  

Location
This role is hybrid, based in our Nashville office.

Compensation

The annual base salary for this position is in the range of $129,000 - $150,000 in Nashville. This position is also eligible for benefits and a discretionary bonus. Ultimately, the salary may vary based upon, but not limited to, relevant experience, time in the role, business sector, and geographic location, among other criteria. Please talk with a CAA Recruiter to learn more.