AI Integration Engineer

AI Integration EngineerThe AI Integration Engineer is a hands on technical role responsible for building, configuring, and deploying the AI solutions and integrations that power an enterprise technology capability. This role is focused on the engineering work itself: designing agents, building integrations, evaluating platforms, and shipping working solutions that embed organizational standards, content, and expertise into learning platforms, EHS software, compliance tools, and AI enabled applications. Rather than scoping recommendations for others to build, the AI Integration Engineer sits embedded with the technical team, writing prompts, configuring agents, building integrations, and iterating quickly based on real feedback from how the solutions perform in production.Duties include but are not limited to:Design, configure, and deploy AI agents and workflows across enterprise platforms, including Microsoft Copilot (M365/Teams), Salesforce Einstein or Agentforce, ChatGPT and/or Claude, hands onBuild and maintain integrations that embed organizational standards, content, and expertise into partner platforms such as learning management systems, EHS software, compliance tools, and enterprise dashboardsWrite, test, and refine prompts and agent configurations, evaluate output quality, and assess the appropriate use case and platform for each applicationPilot, evaluate, and productionize new AI tools and automation opportunities, iterating quickly based on field feedback from internal teamsEstablish and maintain technical governance, risk management, and operational readiness practices for AI solutions and enterprise integrationsDevelop technical documentation, playbooks, and training resources that support internal AI fluency and repeatable implementationMonitor emerging technologies and platform capabilities to identify new opportunities for integration and adoptionTroubleshoot and maintain deployed integrations, ensuring reliability, data integrity, and performance across connected systemsRequired knowledge/skills/abilities:Hands on, working proficiency configuring enterprise AI agent platforms, specifically Microsoft Copilot (M365/Teams), Salesforce Einstein or Agentforce, ChatGPT and/or Claude, including agent configuration, prompt design, and output evaluationPractical knowledge of AI concepts and applications, including retrieval, content intelligence, prompt orchestration, knowledge systems, and responsible AI use in mission driven environmentsStrong understanding of how technology platforms, SaaS ecosystems, APIs, and content systems support enterprise level product and service deliveryDemonstrated ability to build working integrations end to end, from requirements through deployment and maintenanceAbility to evaluate integration models, vendor/platform fit, and technical feasibilityStrong project management and process design skills, with the ability to manage multiple builds concurrentlyData driven mindset with the ability to define KPIs, assess pilots, and recommend scalable solutions based on evidenceProactive, adaptable, and comfortable working in ambiguity while helping define a new organizational capabilityRemote position with the ability to work M through F during normal business hours; must be able to travel onsite 3 to 4 times per quarter, and may occasionally be expected to work outside normal business hoursRequired education and experience:Bachelor's degree in information technology, computer science, engineering, data/analytics, or a related field required. Master's degree preferred2+ years of progressively responsible experience in hands on AI/technical implementation, such as forward deployed engineering, solutions engineering, integration engineering, or enterprise systems developmentDemonstrated hands on experience deploying AI tools or automation in an organizational setting, including configuring agents or workflows and integrating them into business processesExperience building and maintaining integrations across multiple platforms and systemsExperience working across both business and technical teams to deliver cross functional initiativesExperience in a professional association, nonprofit, standards based, education, or mission driven organization preferredKey details:Position Title: AI Integration EngineerPay Rate: $45 to $55 per hourWork Arrangement: Remote, with periodic travel to the Park Ridge, IL office 3 to 4 times per quarter