Senior AI Engineer

Job Title:

Senior AI Engineer

Department(s): 5072 - Information Technology

Location(s):
Garden City Terminal

FLSA Status:
Exempt

Under general supervision of the Director of IT – Application Development, the Senior AI Engineer designs, develops, and maintains scalable data pipelines, cloud-based data platforms, and AI/ML solutions that support enterprise analytics and business decision-making. The incumbent collaborates with business and technical stakeholders to define analytical objectives, develop research frameworks, and gather, integrate, and analyze complex structured and unstructured data. Responsibilities include designing, training, validating, deploying, and monitoring artificial intelligence (AI), machine learning (ML), and statistical models;

implementing ETL/ELT processes, MLOps, and CI/CD practices; ensuring data quality, security, and performance; and communicating data-driven insights and recommendations through reports and presentations. The Senior AI Engineer also provides technical leadership and guidance to software engineers, analytics professionals, and operations specialists throughout the data engineering and AI solution lifecycle.

Upholds the values of the GPA to promote Safety, Integrity, Respect, Community, Creativity and Opportunity. Promotes a safe work environment by participating in safety initiatives and reporting unsafe conditions and behaviors.

• Defines optimal AI/ML, predictive, and statistical models and research methodologies to address business problems.
• Performs exploratory data analysis and preprocessing of structured and unstructured data to ensure quality, completeness, and readiness for modeling.
• Designs, develops, and maintains scalable data pipelines, ETL/ELT processes, cloud-based data platforms, and model monitoring procedures to support AI/ML solutions and long-term model performance.
• Determines model features, parameters, and training strategies; trains, validates, evaluates, and optimizes AI/ML and statistical models.
• Deploys, monitors, and optimizes production AI/ML solutions and data pipelines to ensure reliability, scalability, and performance.
• Translates complex analytical findings into clear, actionable insights through written reports, dashboards, and oral presentations to both technical and non-technical audiences.
• Evaluates data engineering, AI/ML, cloud, and analytics technologies, recommending improvements and selecting appropriate tools and platforms.
• Conducts stakeholder interviews and data discovery activities to define analytical objectives and identify relevant data sources.
• Prepares project scoping documents including feasibility assessments, data requirements, and resource estimates for management review.
• Provides technical guidance and mentorship to Analysts, Operations specialists, software engineers, and other technical staff throughout the data and AI solution lifecycle.
• Ensures compliance with data governance, information security, privacy requirements, and responsible AI practices in all data and modeling activities.
• Performs other duties as assigned
• Complies with all policies and standards

Knowledge, Skills, & Abilities

• Expertise in Python required, with experience using data science and machine learning libraries such as Pandas, Scikit-learn, Tensor Flow, or PyTorch. High
• Advanced knowledge of statistical modeling, predictive analytics, machine learning, and AI techniques, including regression, classification, time series analysis, tree-based methods, and deep learning. High
• Advanced SQL proficiency and experience designing, developing, and maintaining ETL/ELT processes and scalable data pipelines required. High
• Experience building, deploying, monitoring, and…