AI Enablement Engineer

CivicPlus

AI Enablement Engineer at CivicPlus focused on building practical AI solutions. Collaborate with teams to enhance productivity and decision-making through scalable AI-enabled workflows.

Posted 5/8/2026full-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.

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.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI-enabled toolsautomation frameworksAPIsPythonJavaScriptdata pipelinescloud platformsmachine learningworkflow automationintegration patterns

Soft Skills

problem-solvingcommunicationcollaborationtechnical guidancetrainingcontinuous improvementdocumentationstakeholder engagementadaptabilityteam efficiency