EA- Forward Deployed Engineer

US Based Salary: $130,000 - $145,000 DOE About Us Bonterra exists to propel every doer of good to their peak impact. We measure that impact against our vision to increase the giving rate as a percentage of GDP from 2% to 3% by 2033. We know that this goal is lofty, but we are confident that the right technology and expertise will strengthen trust in the sector, allowing the social good industry to accelerate growth and reach peak impact. Bonterra's differentiated, end-to-end solutions collectively support a unique network of over 20,000 customers, including over 16,000 nonprofit organizations and over 50 percent of Fortune 100 companies. Learn more at bonterratech.com. About the Role Job Summary As a Forward Deployed Engineer, you will embed directly with organizations across the Democratic and Progressive ecosystem — including political campaigns, state and national parties, nonprofits, consulting agencies, and independent software vendors — to catalyze the adoption of agentic AI into their operations. You will serve as the bridge between NGP VAN’s platforms and the real-world workflows of these organizations, identifying where AI can create the greatest benefit, designing and building agentic skills that solve those problems, and deploying them. You will also contribute to the growth of NGP VAN Interface MCP solution and the underlying NGP VAN API, ensuring the platform [... source excerpt omitted ...] uency, and the interpersonal skills to earn trust with campaigns and organizers who may be encountering AI for the first time. Essential Functions Embed on-site or remotely with client organizations (campaigns, parties, nonprofits, ISVs, consulting firms) to understand their existing workflows and identify high-value opportunities for agentic AI automation. Lead workflow discovery sessions with client stakeholders to map processes, surface pain points, and co-develop a prioritized roadmap of agentifiable workflows. Design and build agentic skills atop NGP VAN and the NGP VAN Interface, translating client workflow requirements into reliable, maintainable skill implementation [... source excerpt omitted ...] skill delivery lifecycle from requirements gathering through design, build, testing, deployment, and iteration — functioning as a one-person product and engineering team for each client engagement. Serve as a trusted technical advisor to client staff and leadership, communicating AI concepts accessibly, setting realistic expectations, and shepherding stakeholders through change management as they adopt new agentic tooling. Contribute features and enhancements to the NGP VAN Interface, NGP VAN’s MCP-based integration layer — to expand the set of NGP VAN capabilities available to agentic skill builders across the ecosystem. Expand the NGP VAN API identifying gaps in API cover