AI Enablement Engineer – Product, Product Operations

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and sustain AI-driven tools, workflows, and internal automation systems that enhance team productivity and business results.

• Collaborate with cross-functional stakeholders to pinpoint high-impact AI enablement use cases spanning product development, operations, support, and internal business processes.

• Create integrations between AI services, internal systems, and external platforms utilizing APIs, scripting, and automation frameworks.

• Convert business challenges into scalable technical solutions, including prompts, orchestration logic, data pipelines, and supporting applications.

• Establish and adhere to best practices for responsible AI usage, covering security, privacy, data management, testing, monitoring, and documentation.

• Assess emerging AI tools, models, and platforms, providing recommendations for practical solutions that align with CivicPlus's requirements and architecture.

• Work alongside engineering and data teams to ensure dependable access to the data, services, and infrastructure necessary for supporting AI-enabled solutions.

• Generate and update documentation, technical standards, and reusable patterns that facilitate sustainable AI adoption across teams.

• Troubleshoot and enhance existing AI automations and integrations to boost reliability, performance, cost-efficiency, and user experience.

• Offer technical guidance, training, and enablement support to internal teams utilizing AI-powered tools and workflows.

• Engage as a collaborative member of an Agile team and contribute to the ongoing enhancement of engineering practices and delivery standards.

• Execute additional responsibilities as assigned.

• Augment product operations workflows using AI: conduct research synthesis, analyze customer signals, manage feedback triage, and provide release support.

• Operate within GovRAMP and sensitive-data constraints from day one.

• Connect product strategy to AI delivery; mid-to-senior level business judgment is anticipated.

• Coordinate with Engineering's AI adoption efforts (e.g., AI-assisted code review) without directly managing Engineering's tools.

• Collaborate with Product Marketing and Customer Success Ops where workflows intersect.

⛳️ Requirements

• Bachelor’s degree in computer science, engineering, information systems, or a related field preferred; equivalent work experience may also 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 in building or supporting AI-driven workflows, automations, internal tools, or system integrations.

• Proficiency in at least one scripting or programming language, such as Python or JavaScript.

• Experience with APIs, integration patterns, and both structured and unstructured data.

• Familiarity with contemporary AI/ML concepts, including large language models, prompt design, evaluation, and model or service integration.

• Experience with cloud platforms and developer tools used for deploying, monitoring, and maintaining technical solutions.

• Strong problem-solving abilities and the capacity to balance speed, quality, security, and maintainability.

• Excellent written and verbal communication skills, including the capability to articulate technical concepts to non-technical stakeholders.

• Experience in 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 in supporting responsible AI practices, model evaluation, or AI operations within a business environment.

• Experience in product operations, product analytics, or product strategy with strong technical expertise.

• Comfort in handling sensitive customer or regulated data; familiarity with GovRAMP, FedRAMP, or similar frameworks is advantageous.

• Nice to Have: Previous experience in product operations, product analytics, or product strategy.

• Experience in GovTech, public sector, or regulated industry.

• Experience in designing AI-first product workflows (beyond simply adding AI capabilities to existing flows).

🏝️ Benefits

• Comprehensive health insurance

• Dental insurance

• Vision insurance

• Flexible Time Off

• 401(k) plan

• and more.