DPR Construction
Job Description
Principal AI Engineer
Join a dynamic and fast‑evolving team that is building next‑generation AI‑based tools and agent systems for the construction industry. Our AI and Data Team focuses on designing intelligent AI agents and copilots using modern AI/ML techniques.
You will work closely with cross‑functional teams, including business stakeholders, data engineers, and technical leads, to ensure alignment between business needs and data architecture and to define data models for specific focus areas.
Responsibilities
Lead the design of AI/ML infrastructure, platforms, and services, ensuring they are reliable, performant, and scalable.
Own the entire lifecycle of AI projects, including prompt engineering, workflow design, model deployment, and A/B testing.
Mentor and guide teams, hold a high technical bar for solutions, and partner with other senior engineers to align technical solutions with business needs.
Write code in languages like Python, build APIs and microservices, and integrate AI/ML models into existing systems.
Stay current with rapidly evolving AI technologies, such as LLMs and agentic AI patterns.
Work with cross‑functional teams, including product managers, business users, and security teams, to deliver AI‑powered products.
Apply strong analytical and problem‑solving skills to address complex technical challenges.
Assist in the development and execution of comprehensive plans to integrate AI technologies into business processes, aimed at enhancing operational efficiency and boosting employee productivity.
Ensure the scalability, reliability, and security of AI solutions by implementing best practices for AI model development, deployment, and maintenance.
Qualifications
At least 3 years of experience with Software Development and Machine Learning.
At least 2 years of experience with Generative AI, specifically with Large Language Models (LLM).
Excellent knowledge of machine learning algorithms, deep learning frameworks (e.g. TensorFlow, PyTorch), and statistical methods.
Experience with generative AI concepts such as Retrieval‑Augmented Generation (RAG), agentic workflows, and training LLMs with structured and unstructured data sets.
Experience with data connectors and API gateways that support seamless communication between systems.
Deep subject‑matter expertise in AI technologies, including but not limited to Copilot Studio, OpenAI, Semantic Kernels, Azure AI Foundry, Google Gemini, Microsoft 365, M365 Copilot, Anthropic, or AWS platforms.
Familiarity with cloud environments (e.g., AWS, Azure, GCP) and MLOps tools.
Strong programming skills in Python and experience with AI/ML frameworks.
Proficiency in vector databases and embedding models for retrieval tasks.
Understanding of knowledge graph is a plus.
Possess strong problem‑solving and strategic thinking abilities.
About DPR Construction 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 unique 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.
#J-18808-Ljbffr
Join a dynamic and fast‑evolving team that is building next‑generation AI‑based tools and agent systems for the construction industry. Our AI and Data Team focuses on designing intelligent AI agents and copilots using modern AI/ML techniques.
You will work closely with cross‑functional teams, including business stakeholders, data engineers, and technical leads, to ensure alignment between business needs and data architecture and to define data models for specific focus areas.
Responsibilities
Lead the design of AI/ML infrastructure, platforms, and services, ensuring they are reliable, performant, and scalable.
Own the entire lifecycle of AI projects, including prompt engineering, workflow design, model deployment, and A/B testing.
Mentor and guide teams, hold a high technical bar for solutions, and partner with other senior engineers to align technical solutions with business needs.
Write code in languages like Python, build APIs and microservices, and integrate AI/ML models into existing systems.
Stay current with rapidly evolving AI technologies, such as LLMs and agentic AI patterns.
Work with cross‑functional teams, including product managers, business users, and security teams, to deliver AI‑powered products.
Apply strong analytical and problem‑solving skills to address complex technical challenges.
Assist in the development and execution of comprehensive plans to integrate AI technologies into business processes, aimed at enhancing operational efficiency and boosting employee productivity.
Ensure the scalability, reliability, and security of AI solutions by implementing best practices for AI model development, deployment, and maintenance.
Qualifications
At least 3 years of experience with Software Development and Machine Learning.
At least 2 years of experience with Generative AI, specifically with Large Language Models (LLM).
Excellent knowledge of machine learning algorithms, deep learning frameworks (e.g. TensorFlow, PyTorch), and statistical methods.
Experience with generative AI concepts such as Retrieval‑Augmented Generation (RAG), agentic workflows, and training LLMs with structured and unstructured data sets.
Experience with data connectors and API gateways that support seamless communication between systems.
Deep subject‑matter expertise in AI technologies, including but not limited to Copilot Studio, OpenAI, Semantic Kernels, Azure AI Foundry, Google Gemini, Microsoft 365, M365 Copilot, Anthropic, or AWS platforms.
Familiarity with cloud environments (e.g., AWS, Azure, GCP) and MLOps tools.
Strong programming skills in Python and experience with AI/ML frameworks.
Proficiency in vector databases and embedding models for retrieval tasks.
Understanding of knowledge graph is a plus.
Possess strong problem‑solving and strategic thinking abilities.
About DPR Construction 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 unique 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.
#J-18808-Ljbffr