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CivicPlus

AI Enablement Engineer – Professional Services, COGS, Support

CivicPlus

AI Enablement Engineer helping CivicPlus implement AI to improve business efficiency and productivity. Collaborating with cross-functional teams to create AI-powered tools and workflows.

Posted 5/15/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $119,100 - $181,100 per yearWebsite

Tech Stack

Tools & technologies
CloudJavaScriptPython

About the role

Key responsibilities & impact
  • 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.
  • Build solutions that accelerate implementation projects (project setup, project assistant, knowledge surfacing).
  • Improve support ticket triage and AI-assisted resolution — meaningful resolution time reduction is a primary outcome.
  • Partner with technically inclined existing team members to extend their capabilities.
  • Operate as a centralized resource serving Prof Services and Tech Support during transition; gradually move closer to COGS over time.
  • Coordinate on overlap with WBD call review and customer-facing AI tooling.

Requirements

What you’ll need
  • 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.
  • Experience automating implementation, services delivery, or technical support workflows.
  • Familiarity with knowledge bases, ticketing systems (Zendesk, Salesforce Service Cloud, similar), and customer-facing operations.

Benefits

Comp & perks
  • Comprehensive health insurance
  • Dental insurance
  • Vision insurance
  • Flexible Time Off
  • 401(k) plan
  • and more.

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Hard Skills & Tools
PythonJavaScriptAPIsautomation engineeringdata engineeringmachine learning engineeringAI-enabled workflowsdata pipelinescloud platformsworkflow automation
Soft Skills
problem-solvingcommunicationcollaborationtechnical guidancetrainingcontinuous improvementdocumentationstakeholder engagementadaptabilityteamwork