Associate AI Engineer (6-month contract)

Board InternationalBoston, MA

About The Position

At Board, we help enterprises plan smarter, drive outcomes and lead transformation with one single Intelligent Planning Platform. Trusted by thousands of leading organizations, over the last 28 years, we have designed our Product with enterprise planning agility in mind and the passionate care of our people as our main driver. We strongly believe every colleague brings unique value to our whole organization. We collaborate openly and effectively to deliver results and celebrate our shared success, thrive on innovation and embrace a growth mindset to aim higher every day. If you’re a forward-thinker looking for the great next step in your career within an innovative and collaborative environment, Board is the right workplace for you! We are looking for an Associate AI Engineer to join our AI Center of Excellence on a 6-month contract. In this role, you will work alongside AI engineers and business stakeholders to design, build, and deploy AI-powered solutions that improve business processes and drive operational efficiency across the organization. You will contribute to real-world AI initiatives, leveraging technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent-based architectures to address business challenges and deliver measurable impact.

Requirements

  • Academic background in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related field.
  • Knowledge of AI and GenAI fundamentals, either through academic or professional work.
  • Experience developing production-level solutions using Python and working with APIs, data pipelines, or AI frameworks.
  • Experience working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, and modern AI development tools.
  • Knowledge of Azure AI Services or other cloud-based AI platforms is a plus.
  • Understanding of software development best practices and the AI solution lifecycle.
  • Strong analytical and problem-solving skills, with the ability to translate business challenges into practical solutions.
  • Excellent communication skills, including the ability to explain technical concepts to both technical and non-technical audiences.
  • Collaborative mindset with the ability to build effective working relationships across teams.
  • Customer-focused approach and genuine interest in improving business outcomes through technology.
  • Curious, proactive, and eager to learn new technologies in a fast-paced environment.
  • Adaptable and comfortable working with ambiguity, changing priorities, and evolving business requirements.
  • Strong organizational and time-management skills, with attention to detail and a commitment to delivering high-quality work.
  • Creative thinker with a passion for innovation, continuous improvement, and emerging AI technologies.

Responsibilities

  • Partner with teams across Customer Success, Support, Professional Services, Sales, and other business functions to identify and deliver high-impact AI use cases that improve productivity and operational efficiency.
  • Understand business objectives and technical requirements, and design AI-powered solutions to address real-world challenges.
  • Build, test, and deploy AI applications and production-ready prototypes using state of the art technologies.
  • Design and implement AI-enabled workflows, including intelligent document processing, multi-agent solutions, AI-based routing, and decision-support capabilities.
  • Support the end-to-end delivery of AI initiatives, from use case definition and solution design through deployment and adoption.
  • Integrate AI solutions with enterprise platforms and business systems, including CRM, ERP, ITSM, marketing, finance, and procurement applications.
  • Contribute to the development and maintenance of reusable AI components, tools, and internal best practices.
  • Collaborate with AI engineers and stakeholders in architecture reviews, testing, and knowledge-sharing activities.
  • Ensure AI solutions align with governance, security, compliance, and responsible AI standards, including monitoring for quality, reliability, and potential bias.
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