Generative AI Platform Engineer

Aimlroles; North Carolina; On-site; USD 90,000 - 130,000; Full time

Job summary

DPR Construction is seeking a skilled AI/ML Engineer to design and implement generative AI solutions that align with business objectives. You will translate requirements into model designs and deployment strategies across the lifecycle, ensuring reliability and security.

You will collaborate with software, data, and operations teams to drive measurable impact, build scalable data pipelines in Python, and contribute to enterprise AI initiatives that push innovation while maintaining governance

Qualifications

• Bachelor’s degree in computer science, data science, engineering or related field; equivalent experience accepted.
• 2–4 years of experience in machine learning, AI development or data science required.
• Successful background check required.

Responsibilities

• Builds and refines end-to-end generative AI solutions aligned with defined business objectives.
• Translates business requirements into AI model designs and deployment plans.
• Implements best practices for model scalability, reliability, security and maintainability.
• Utilizes Python to prepare, transform, and analyze data.
• Collaborates with cross-functional stakeholders and communicates findings to technical and non-technical audiences.
• Supports execution of AI integration initiatives aligned with enterprise roadmap.
• Evaluates emerging AI capabilities and contributes to innovation initiatives.

Skills

Python

Data analysis

ML/AI engineering

AI development

Communication

Cross-functional teams

Education

Bachelor’s degree in CS or related field

Tools

CI/CD pipelines

LLM gateways

Job description

DPR Construction is seeking a skilled AI/ML Engineer to design and implement generative AI solutions that align with business objectives. You will translate requirements into model designs and deployment strategies across the lifecycle, ensuring reliability and security.

You will collaborate with software, data, and operations teams to drive measurable impact, build scalable data pipelines in Python, and contribute to enterprise AI initiatives that push innovation while maintaining governance