AI Platform Engineer

Posted 26 Days Ago
10 Locations
In-Office
Mid level
Professional Services • Industrial • Manufacturing
The Role
Builds and deploys end-to-end generative AI solutions, translating business needs into scalable, secure, and maintainable architectures. Responsibilities include AI/ML observability, LLM gateways, cost controls, rate limiting, security guardrails, self-service deployment frameworks, CI/CD integration, and containerized ML workloads. The role collaborates with infrastructure and cross-functional teams while evaluating emerging AI capabilities and supporting enterprise AI initiatives.
Summary Generated by Built In

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.

Skills Required

  • 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 a related field

DPR Construction Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about DPR Construction and has not been reviewed or approved by DPR Construction.

  • Healthcare Strength — Health coverage is described as comprehensive, with Cigna medical plans (plus Kaiser in California), dental that includes orthodontia, and vision through VSP, supplemented by telehealth and an EAP. Behavioral-health resources and virtual care options add depth to the offering, particularly for full-time employees.
  • Leave & Time Off Breadth — Full-time employees can accrue up to 20 PTO days in the first year alongside 10 paid holidays, with 15 consecutive paid workdays at five-year milestones. Craft employees may also receive holiday pay and paid leave depending on union arrangements and tenure.
  • Retirement Support — A 401(k) match of $0.50 per dollar on the first 6% of pay is offered with immediate vesting of company contributions, and employees may also participate in profit sharing. Additional retirement-related perks such as retirement bonuses for tenured employees are noted.

DPR Construction Insights

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The Company
HQ: Redwood, CA
9,075 Employees
Year Founded: 1990

What We Do

DPR Construction is a forward-thinking, self-performing general contractor and construction manager specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets.

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