Ethical AI Architect

Title : Artificial Intelligence App Developer Tampa, FL- onsite 6-12 month contract to hire Onsite interview Applications Developer Design, build, and support custom applications and data integrations to enhance agency operations, with a focus on functionality, performance, and secure handling of sensitive information. Job Description Duties may vary based on assignment. Develop, train, and optimize machine learning models using frameworks such as ML.NET, Scikit-Learn, TensorFlow, PyTorch, or Keras. Integrate artificial intelligence (AI) models into existing in-house applications and services running in secure on-prem environments. Experiment with large language models (LLMs) and agentic coding tools, evaluating their potential for secure, internal automation and analytics tasks. Perform data preprocessing, feature engineering, and model evaluation using structured and unstructured data from multiple internal systems. Collaborate with cross-functional teams to ensure all models and data workflows align with Criminal Justice Information Systems (CJIS) and Personally Identifiable Information (PII) protection standards. Work closely with analysts, investigators, and Information Technology (IT) staff to identify opportunities where AI can provide operational value. Participate in code reviews, testing, and deployment activities within a collaborative team environment. Continuously learn and prototype emerging AI tools while maintaining strong data governance discipline. Perform other related duties as required. Knowledge & Abilities Knowledge of machine learning frameworks such as ML.NET, Scikit-Learn, TensorFlow, PyTorch, or Keras. Knowledge of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, and AI agent frameworks. Basic understanding of secure coding principles and CJIS data protection requirements. Working knowledge of office policies and procedures. Ability to work with structured and unstructured datasets from multiple sources such as databases, APIs, logs, and documents. Ability to analyze complex problems, test possible solutions, and apply practical, innovative approaches. Ability to prioritize and manage multiple tasks in a fast-paced environment. Ability to stay curious and continuously learn new AI tools and techniques while maintaining responsible data practices. Skills Strong programming skills in C# or Python. Skill in writing optimized SQL queries, functions, and stored procedures for SQL Server and PostgreSQL. Skill in developing and evaluating machine learning models. Effective communication and interpersonal skills for interacting with users and technical staff. Preferred Qualifications Familiarity with LangChain, Ollama, or other frameworks for running local LLMs and agentic AI systems. Experience with vector databases (e.g., Chroma, Qdrant, Weaviate) for semantic search. Experience building APIs or services to expose ML models to other internal systems. Experience working with data-centric applications in public sector or regulated environments.