AI Enablement Engineer (Product & Product Operations)

CivicPlus, LLC

About The Position

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. Product needs AI-first workflow design across research synthesis, customer signal analysis, and feedback triage. The role operates in a security-conscious, GovRAMP-relevant environment.

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.
Experience working in product operations, product analytics, or product strategy with strong technical chops.
Comfort handling sensitive customer or regulated data; familiarity with GovRAMP, FedRAMP, or similar frameworks is a plus.
Applicants must be authorized to work in the US.

Nice To Haves

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.
Prior product operations, product analytics, or product strategy background.
GovTech, public sector, or regulated-industry experience.
Experience designing AI-first product workflows (not just AI-features-on-existing-flows).

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.
Perform other duties as assigned.
AI-augment product operations workflows: research synthesis, customer signal analysis, feedback triage, release support.
Operate within GovRAMP and sensitive-data constraints from day one.
Bridge product strategy to AI delivery; mid-to-senior business judgment expected.
Coordinate with Engineering's own AI adoption (e.g., AI-assisted code review) without owning Engineering's tooling.
Partner with Product Marketing and Customer Success Ops where workflows cross boundaries.