AI Engineer

Blattner

About The Position

The AI Engineer supports the development and deployment of Artificial Intelligence and Machine Learning solutions that enhance the way Blattner’s utility-scale renewable energy projects are designed, planned, and built. This role focuses on building and maintaining models, applications, and pipelines that enable data-driven decision making across the enterprise. This role executes against established AI engineering standards, reference architectures, and delivery practices defined by the AI Innovation & Delivery team. The AI Engineer contributes technical input and implements approved designs, partnering with IT, data teams, and business stakeholders to deliver secure, scalable solutions.

Requirements

Bachelor’s degree in Computer Science, Data Science, or related field
2 or more years of professional experience in Machine Learning, AI Engineering, or related fields.

Nice To Haves

Experience developing AI/ML solutions and supporting deployment to cloud environments (Azure preferred), working within established engineering and security standards.
Proficiency with Python, APIs, and modern ML frameworks (e.g., Scikit-learn, XGBoost, Langchain, Tensorflow, LlamaIndex, etc.)
Understanding of data engineering concepts, cloud services, and enterprise integration patterns.

Responsibilities

Builds, tests, and deploys components of AI/ML models and applications (features, services, pipelines) that support renewable energy planning, forecasting, construction optimization, and operational insights, under guidance and within established patterns and standards.
Implements components of MLOps workflows including data pipelines, packaging, versioning, monitoring, and model retraining.
Collaborates with IT and data teams to ensure AI solutions follow security, integration, and performance requirements.
Breaks down requirements into well-defined technical tasks; implements approved technical designs and contributes implementation-level input during design reviews.