AI Process Engineer (Accounting, FP&A, HR, Legal)

About the role

As an AI Enablement Engineer at CivicPlus, you will help turn AI into practical, secure, and scalable solutions that improve productivity, quality, and decision-making across the business. You’ll partner with teams in Accounting, FP&A, HR, and Legal to identify high-value opportunities, build AI-powered tools and workflows, and support adoption in alignment with company standards, governance, and business goals. This role spans back-office functions, requiring insight into business processes across multiple domains.

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.
• Operate as a credible practitioner across FP&A, Accounting, HR, and Legal — challenge broken process before automating it.
• Build reusable solutions that work across back-office functions; avoid one-off solutions that lock value to a single team.
• Partner with FP&A on planning workflows and reporting cycles.
• Partner with Accounting on month-end close acceleration, document review, and reconciliation assistance.
• Partner with HR on employee lifecycle, knowledge management, and people-ops workflows where appropriate.
• Partner with Legal on contract review, redlining, and document automation within risk tolerance.
• Maintain a tighter security and data-sensitivity posture given the data involved across G&A.

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 Qualifications

• Experience with workflow automation platforms, data pipelines, governance controls, experimentation, or internal enablement and change management.
• Experience supporting responsible AI practices, model evaluation, or AI operations in a business environment.
• Practitioner experience in one or more back-office domains: FP&A, accounting, HR operations, or legal operations — prior to or alongside an AI-engineering background.
• Strong process judgment — ability to call out broken process and redesign before automating.
• High data-sensitivity discipline — comfortable working under tighter governance than typical product or marketing AI work.
• Prior FP&A, accounting, HR ops, or legal ops experience (CPA, SHRM, paralegal certifications welcome but not required).
• Experience with NetSuite, financial systems, HRIS platforms, contract lifecycle management, or document automation tools.
• Background designing internal tools or back-office automation in a regulated environment.

Benefits

• Comprehensive health insurance (medical, dental, vision).
• Flexible Time Off.
• 401(k) plan.

Pay

Estimated Salary Grade Range: $119,100 - $181,100. Anticipated hiring range: $140,000 - $145,000. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, and experience, and is based on a 40-hour work week.