AI Solutions Engineer

Harris County Sheriff's Office • Houston, TX

2d • Onsite

About The Position

The AI Solutions Engineer designs, builds, and deploys AI-driven solutions. This role takes validated concepts often originating from rapid prototypes or pilot programs and engineers them into scalable, secure, and operational systems. The focus is on applied AI: integrating machine learning, automation, and intelligent services into real-world workflows within a public safety environment. This is a hands on, technical builder role that bridges experimentation and enterprise-grade implementation.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field; an equivalent combination of education and experience may be considered
• Three (3) or more years of hands-on experience building software or AI/ML solutions
• Experience with Python and common AI/ML libraries (e.g., TensorFlow, PyTorch)
• Experience building APIs and integrating systems (REST, microservices)
• Understanding of data pipelines and cloud environments (Azure, AWS, or similar)

Nice To Haves

• Experience with computer vision, natural language processing, or real-time analytics
• Familiarity with video analytics, sensor data, or geospatial data
• Experience in public safety, government, or another regulated environment
• Knowledge of MLOps practices (CI/CD for models, monitoring, versioning)

Responsibilities

• Build & Productionize AI Solutions: Designs, develops, and deploys AI/ML solutions, such as computer vision, natural language processing, predictive analytics, and automation. Converts prototypes and proofs-of-concept into stable, scalable applications. Develops APIs, services, and pipelines to integrate AI into existing systems.
• Engineer End-to-End Workflows: Builds data ingestion, preprocessing, model execution, and output delivery pipelines. Integrates AI capabilities into law enforcement operational platforms. Ensures reliability, performance, and maintainability of deployed solutions.
• Model Integration & Optimization: Works with pre-trained models, commercial AI services, or custom-built models. Fine-tunes, optimizes, and evaluates models for accuracy and operational usefulness. Implements monitoring for model performance and drift over time.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level