CivicPlus is dedicated to innovation and collaboration to enhance local government services. The AI Enablement Engineer will design and implement AI-powered tools and workflows to improve productivity and decision-making across various business functions, while partnering with cross-functional teams to identify and capitalize on high-value AI opportunities.
Responsibilities:
- 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
- Improve forecast inspection and deal follow-up quality through AI-augmented workflows
- Reduce time sellers spend on follow-up, CRM hygiene, and deal-inspection prep
- Build agentic and AI-augmented workflows in the Salesforce ecosystem within governance
- Surface deal signal and risk to managers — consistently and on a cadence the team trusts
- Support RevOps on process and system enablement; coordinate with the Salesforce ecosystem team to avoid duplicate work
- Partner with Sales Enablement and SE leaders on AI-assisted enablement content and tools
- Redesign core marketing operations workflows so AI is a first-class teammate (content, landing pages, campaign ops, paid social)
- Mature existing automations such as Landing Page Automation and Ad Automation into more agentic experiences
- Build experimentation infrastructure for AI-driven marketing — what to test, how to measure, when to ship
- Maintain brand voice and content safety guardrails for AI-generated assets
- Coordinate with RevOps where workflows touch Salesforce, HubSpot, and the lead lifecycle
Requirements:
- 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
- Hands-on experience in the Salesforce ecosystem (Apex, Flow, MCPs, or Salesforce-adjacent automation)
- Familiarity with sales operations: forecasting cadences, pipeline hygiene, deal inspection, territory and quota mechanics