Forward Deployment Engineer

Procore Technologies is the leading technology partner for every stage of construction. We empower construction teams to drive efficiency and mitigate risk through actionable AI & data-driven insights. For over 20 years, we have been transforming the industry with purpose-built solutions for construction professionals and we’re looking for talented people to help us build together.We are looking for a Forward Deployed AI Engineer to implement, optimize, and deploy intelligent AI systems and agentic workflows for our enterprise clients. As the Forward Deployed AI Engineer on our Customer Success Team supporting Procore AI, you will work closely with customer technical leaders, enterprise project teams, and internal engineering to operationalize AI agents in the field. Your strengths in machine learning systems, customer-facing technical delivery, and end-to-end software engineering will drive your success.You will report to the Forward Deployed Engineering Manager (FDE Manager) and will be based Remote within the United States. Travel to customer sites is expected up to 50% or more.What You’ll DoDeliver high-impact AI implementation projects in small pods or independently, taking full technical ownership from discovery through to production deployment.Build and scale LLM-powered agentic workflows and production data pipelines tailored to enterprise construction operations.Partner directly with enterprise customers to evaluate operational challenges, understand technical requirements, and define their AI implementation strategy.Drive measurable financial and operational value for customers by implementing real-world solutions that reduce risk and increase efficiency.Travel up to 50% or more to client sites to lead onsite technical workshops, customer embeds, and field deployments.What You BringDemonstrated experience building and shipping solutions with large language models (LLMs) and a deep practical understanding of the generative AI landscape (prompting, tool integration, evaluation, and retrieval).Strong foundation in machine learning fundamentals, including evaluation methods, model training/fine-tuning principles, and complex problem decomposition.Strong software engineering foundation with a degree in Computer Science, Software Engineering, Mathematics, Physics, Machine Learning, or equivalent practical experience.Demonstrated programming proficiency in languages such as Python, TypeScript/JavaScript, Java, C++, or similar modern stacks.Proven ability to operate effectively within diverse customer technical environments and embed collaboratively with customer engineering teams.Empathetic and effective communication skills, with the ability to translate complex AI concepts into actionable business value for both technical and non-technical stakeholders.Willingness and ability to travel to client sites up to 50% or more.Strong-fit Background Might IncludeForward Deployed Engineer (FDE) / Applied AI EngineerAI / Machine Learning Solutions ArchitectEnterprise Generative AI Implementation ConsultantCustomer-Facing Machine Learning Systems EngineerDiscover our recruiting process and interview tips from our talent acquisition team on our blog.Additional InformationBase Pay Range:140,960.00 - 193,820.00 USD AnnualOn Target Earning Range:0.00 - 0.00 USD AnnualThis role may also be eligible for Equity Compensation and/or Bonus Incentive Compensation. Procore is committed to offering competitive, fair, and commensurate compensation. Actual compensation will be based on a candidate’s job-related skills, experience, education or training, and location.For Los Angeles County (unincorporated) Candidates:Procore will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable federal, state, and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.A criminal history may have a direct, adverse, and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. appropriately managing, accessing, and handling confidential information including proprietary and trade secret information, as well as accessing Procore's information technology systems and platforms; 2. interacting with and occasionally having unsupervised contact with internal/external customers, stakeholders, and/or colleagues; and 3. exercising sound judgment.