AI Platform Engineer

DPR Construction; Orlando, Northern (FL, KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

DPR Construction is seeking an AI Platform Engineer to design and deploy end-to-end generative AI solutions that meet business objectives. The role emphasizes reliability, security and scalable model deployment, with data preparation and collaboration across technical and non-technical teams.

You will build models, integrate AI capabilities into the enterprise roadmap, and advance observability practices across AI/ML and data teams. Bachelor’s degree and 2–4 years of experience are required.

Qualifications

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

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 including logging, metrics, tracing and model/AI agent performance.
• Extend existing CI/CD pipelines for code-first infrastructure management and ML workflows.
• Design and deploy containerized ML workloads, partnering with Infrastructure Engineering.

Skills

Python

Data analysis

ML/AI

CI/CD

Observability

Containerization

LLM/AI

Education

Bachelor's degree

Tools

Kubernetes

CI/CD pipelines

Job description

## AI Platform EngineerApply: Raleigh-Durham, NC: Houston, TX: Dallas, TX: Tampa, FL: Orlando, FL: Full time: Posted Today: JR-17163## **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. **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