Who We Are :
At Emburse, you’ll not just imagine the future – you’ll build it. As a leader in travel and expense solutions, we are creating a future where technology drives business value and inspires extraordinary results.
Emburse AI Engineer
As a Senior AI Engineer at Emburse, you will drive design and implementation of artificial intelligence inference applications and products using a variety of approaches including foundation models (GenAI), agents, deep learning, neural networks and other machine learning techniques to help build the future of a completely automated invoice and expense management lifecycle. You will also be responsible for project leadership in this role.
Description
As a key member of our team, you will be responsible for designing, developing, and deploying AI solutions that further automate expense and invoice management processes and solve complex optimization problems. By combining expertise in machine learning, deep learning, and data science; you will create systems capable of learning and adapting over time leveraging production feedback mechanisms. Collaborating with cross-functional teams, the Emburse AI engineer will build and train machine learning models, develop algorithms, and integrate AI systems into existing software and infrastructure.
In addition to technical responsibilities, the Emburse Senior AI engineer will play a strategic role by identifying opportunities for AI applications and driving innovation across the enterprise. You will work closely with data scientists, software engineers, and product stakeholders to ensure AI models align with organizational goals and deliver value. With a focus on continuous improvement, you will need to stay updated on the rapidly emerging advancements in artificial intelligence, exploring new tools for finetuning, distilling and deploying open-source foundation models. Further, you will be on the forefront of widening the scope of intelligence of Emburse AI by leveraging agents to retrieve canonical knowledge and make autonomous inferences for the purpose of handling user inquiries. This dynamic role is essential for Emburse to remain competitive in a rapidly evolving technological landscape.
Key Responsibilities
Education & Experience
BS in Statistics, Mathematics, Computer Science or another quantitative field with at least 6 years
experience manipulating data sets and building GLM / regression models, ensemble decision trees and neural networks. The ideal candidate will have demonstrated hands-on experience with foundation models, GenAI and agents over the last 1-2 years. Graduate degree preferred.
Key Qualifications
Preferred
Why Emburse?
Finance is changing—and at Emburse, we’re leading the way. Our AI-powered solutions help organizations eliminate inefficiencies, gain real-time visibility, and optimize spend—so they can focus on what’s next, not what’s slowing them down.
their finance operations.
world challenges.
supports your success.
for businesses everywhere.
Shape your future & find what’s next at Emburse.
Emburse provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Emburse complies with applicable state and local laws governing nondiscrimination in employment in every location where the company has facilities. This policy applies to all terms and conditions of employment.
Greater Boston Area • Boston, Massachusetts, United States