AI Platform Engineer

DPR Construction • Tampa, FL

1d

About The Position

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.
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.

Requirements

• Bachelor’s degree in computer science, data science, engineering, or a related field, or equivalent experience required.
• 2–4 years of experience in machine learning, AI development, data science, or related field required.
• Python and related technologies

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.
• 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

What This Job Offers

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