About the role
About CivicPlus At CivicPlus, we strive to bring our company vision to life through innovation and collaboration. Supported by approachable leadership and transparent communication, we're empowered to make an impact on local government and the residents they serve. Grow your career alongside great people, where authenticity is welcome, successes are celebrated, and potential is nurtured. Your Impact As an AI Enablement Engineer, you will help CivicPlus turn AI into practical, secure, and scalable solutions that improve productivity, quality, and decision-making across the business. You’ll partner across engineering, product, operations, and business teams to identify high-value opportunities, build AI-powered tools and workflows, and support adoption in a way that aligns with company standards, governance, and business goals. This is a practitioner role across back-office functions, with work spanning Accounting, FP&A, HR, and Legal, so business process insight across multiple back-office domains matters.
What you'll do Design, build, and maintain AI-enabled tools, workflows, and internal automations that improve team efficiency and business outcomes. Partner with cross-functional stakeholders to identify high-value AI enablement use cases across product development, operations, support, and internal business functions. Develop integrations between AI services, internal systems, and third-party platforms using APIs, scripting, and automation frameworks. Translate business problems into scalable technical solutions, including prompts, orchestration logic, data pipelines, and supporting applications. Establish and follow best practices for responsible AI usage, including security, privacy, data handling, testing, monitoring, and documentation. Evaluate emerging AI tools, models, and platforms and recommend practical solutions aligned with CivicPlus needs and architecture. Collaborate with engineering and data teams to ensure reliable access to the data, services, and infrastructure needed to support AI-enabled solutions. Create and maintain documentation, technical standards, and reusable patterns that support sustainable AI adoption across teams. Troubleshoot and optimize existing AI automations and integrations to improve reliability, performance, cost-effectiveness, and user experience. Provide technical guidance, training, and enablement support to internal teams adopting AI-powered tools and workflows. Participate as a collaborative member of an Agile team and contribute to continuous improvement of engineering practices and delivery standards. Perform other duties as assigned. Operate as a credible practitioner across FP&A, Accounting, HR, and Legal — challenge broken process before automating it. Build reusable solutions that work across back-office functions; avoid one-off solutions that lock value to a single team. Partner with Eric and Blaine on FP&A planning workflows and reporting cycles. Partner with Accounting on month-end close acceleration, document review, and reconciliation assistance. Partner with HR on employee lifecycle, knowledge management, and people-ops workflows where appropriate. Partner with Legal on contract review, redlining, and document automation within risk tolerance. Maintain a tighter security and data-sensitivity posture given the data involved across G&A. What we’re looking for Bachelor’s degree in computer science, engineering, information systems, or a related field preferred; equivalent work experience may be considered. 5–8 years of experience in software engineering, automation engineering, data engineering, machine learning engineering, solutions engineering, or a similar technical role. Experience building or supporting AI-enabled workflows, automations, internal tools, or system integrations. Proficiency in at least one scripting or programming language such as Python or JavaScript. Experience working with APIs, integration patterns, and structured and unstructured data. Familiarity with modern AI/ML concepts, including large language models, prompt design, evaluation, and model or service integration. Experience with cloud platforms and developer tooling used to deploy, monitor, and maintain technical solutions. Strong problem-solving skills and the ability to balance speed, quality, security, and maintainability. Strong written and verbal communication skills, including the ability to explain technical concepts to non-technical stakeholders. Experience documenting workflows, standards, and technical solutions for long-term maintainability. Preferred experience with workflow automation platforms, data pipelines, governance controls, experimentation, or internal enablement and change management. Preferred experience supporting responsible AI practices, model evaluation, or AI operations in a business environment. Practitioner experience in one or more back-office domains: FP&A, accounting, HR operations, or legal operations — prior to or alongside an AI-engineering background. Strong process judgment. You'll be asked to call out broken process and redesign before automating. High data-sensitivity discipline — comfortable working under tighter governance than typical product or marketing AI work.