Job Title AI Solution Specialist

Division AI Lab

Location Puerto Rico

Reports to: AI Director

Job Mission

This is an entry-level role designed for high-potential individuals to bridge the gap between theoretical machine

learning and practical Generative AI applications. You will act as a technical associate focusing on the end-to-end

lifecycle of AI solutions, including LLM-based applications/agents, ensuring they are effectively developed,

integrated, and tested to drive value.

Key Responsibilities

• Solution Design: Support the architectural design of AI/ML and GenAI solutions (e.g., RAG systems), ensuring they meet business needs and technical constraints.
• Data Pipeline Support: Assist in building robust data preparation pipelines, including cleaning, normalization, and feature engineering to ensure high-quality model input, including text chunking and embedding generation for vector databases.
• Model Experimentation: Conduct supervised/unsupervised experiments and prompt engineering trials, tracking metrics like accuracy and LLM faithfulness.
• Cross-Functional Collaboration: Work with developers to integrate models and LLM APIs (e.g., OpenAI,Vertex AI) into microservices.
• Technical Documentation: Document model architectures, prompt templates, and solution deployment guides.
• Systems Monitoring: Participate in the ongoing validation and performance monitoring of deployed AI systems to detect "drift" or degradation in performance over time, also participate in performance monitoring to detect "drift" or "hallucinations" in deployed AI systems.

Qualifications

• Bachelor’s degree in computer science, Engineering, Data Science, or a similar quantitative field.
• Or Demonstrable knowledge in presented fields.

Requirements

• Foundational Knowledge: Solid grasp of ML concepts (regression, neural networks) and foundational understanding of Transformers and LLMs.
• Technical Stack: Proficiency in Python and SQL, familiarity with libraries like Scikit-learn, TensorFlow, and orchestration frameworks like LangChain or LlamaIndex. Cloud knowledge is a plus, specially in Azure, AWS or Google Cloud.
• Soft Skills: A strong analytical mindset with a proactive "growth mindset" and excellent teamwork capabilities.