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Mydpr

AI Platform Engineer

LocationRaleigh-Durham, NC; Houston, TX; Dallas, TX; Tampa, FL; Orlando, FL; Ft. Lauderdale, FL; Charlotte, NC; Nashville, TN; Austin, TX; Atlanta, GA
SeniorityMid
Experience2–4 yrs
Company size10,000+ people
First seenOct 6, 2026 · 5d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have14
Bachelor's degree in computer science, data science, engineering, or a related field, or equivalent experience
2–4 years of experience in machine learning, AI development, data science, or related field
Build and implement end-to-end generative AI solutions
Translate business requirements into AI model designs and technical implementation plans
Implement best practices for model scalability, reliability, security, and maintainability
Utilize Python and related technologies to prepare, transform, and analyze data
Collaborate with cross-functional stakeholders and communicate findings to technical and non-technical audiences
Support execution of AI integration initiatives aligned with enterprise roadmap
Evaluate emerging AI capabilities and contribute 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
Skills
Python
LLM
CI/CD
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
About the company
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.
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