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

Job Description

At DPR, roles and responsibilities are more than describing a job title—they are a commitment to building great things together. The job description(s) below defines core responsibilities and the scope of the role and is a starting point. Every employee is expected to lead from where they are, take ownership of outcomes, and always act in the best interest of the team, customer, project and organization.

As a purpose-driven organization on a journey to be most admired, we rely on trust, shared leadership, open communication, disciplined action and a deep respect for the individual to drive exceptional performance. Success is not just about what we build, but who we build and how we build it: with integrity, enjoyment, uniqueness and an ever-forward mindset.

Job Summary

Builds and implements end-to-end generative Artificial Intelligence (AI) solutions aligned with defined business objectives. Translates business requirements into scalable AI model designs and deployment strategies. Ensures reliability, security, and maintainability of AI solutions across the lifecycle. Collaborates with cross-functional stakeholders to drive measurable impact.

Key Responsibilities

• Builds and refines end-to-end generative AI solutions aligned with defined business objectives .
• Translates business requirements into AI model designs and technical implementation plans.
• Implements best practices for model scalability, reliability, security, and maintainability.
• Utilizes Python and related technologies 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.

Education Qualifications

• Bachelor’s degree in computer science, data science, engineering, or a related field, or equivalent experience required.

Work Experience

2–4 years of experience in machine learning, AI development, data science, or related field required.

Successful completion of a background check is required.

Additional Job Description

• Standardize observability practices across AI/ML and data teams covering logging, metrics, tracing and model/AI agent performance
• Implement and maintain LLM/AI gateways, cost tracking controls, rate-limiting and security guardrails to efficiently manage LLM usage
• Build a secure, self-service framework for engineering teams to deploy AI agents, models and services independently
• Extend existing CI/CD pipelines for code-first infrastructure management and ML workflows
• Design and deploy containerized ML workloads, partnering with Infrastructure Engineering on cluster provisioning, scaling and tuning

DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world.

Working at DPR, you'll have the chance to try new things, explore paths and shape your future. Here, we build opportunity together—by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek.

Explore our open opportunities at www.dpr.com/careers.