RSI is seeking a hands-on, business-minded AI leader to create and execute RSI’s enterprise AI strategy, reporting directly to the CEO. This role will identify and deliver AI-driven efficiencies across software development, delivery/implementation, and business operations, while establishing pragmatic governance and standards that align with public-sector expectations (security, auditability, and data handling). 

This leader will be accountable for: 

• Defining RSI’s AI vision and roadmap 
• Establishing responsible AI usage guidelines and guardrails 
• Deploying AI tools and workflow redesign that measurably improves throughput, quality, and cost 
• Leading cross-functional change management to drive real adoption—from executives to individual developers and delivery teams 

The ideal candidate combines executive communication skills with the credibility to work directly with engineers, implementation teams, and operational leaders to redesign how work gets done. 

Core Skills & Competencies 

• AI Strategy & Value Realization: opportunity identification, prioritization, ROI modeling 
• Workflow & Process Reengineering: mapping current state ? future state, eliminating waste 
• Tooling & Enablement: selecting tools, designing playbooks, training, driving adoption 
• Governance & Risk: policy, data handling, auditability, vendor diligence 
• Program Leadership: portfolio management, metrics, reporting, stakeholder alignment 
• Communication & Influence: able to align executives and frontline teams, manage resistance constructively 

•  Develop RSI’s AI strategy aligned to company objectives: faster product modernization and development, increased delivery efficiency, improved supportability, and reduced cost-to-serve. 
• Create and maintain a 6-12–24 month AI roadmap across engineering, delivery, and business operations, with clear milestones and measurable outcomes. 
• Establish an ROI model and prioritize initiatives using value, feasibility, risk, and time-to-impact. 
• Assess current product development workflows and identify high-leverage AI opportunities. 
• Deploy and operationalize AI-assisted development practices:

1. AI pair-programming, code review augmentation, unit/integration test generation support
2. Refactoring assistance, documentation generation, dependency mapping and impact analysis
3. Secure patterns for using AI with sensitive code and client data constraints 

• Partner with Product Development leadership to accelerate replacement of third-party dependencies through AI-enabled analysis, prototyping, and migration planning. 
• Define quality gates and governance so AI accelerates delivery without increasing defect risk. 
• Observe end-to-end delivery execution (Agile ceremonies, backlog management, user story writing, testing cycles, environment setup, release procedures) and redesign workflows using AI to reduce overhead and improve predictability. 
• Implement AI supports such as: 

1. Story refinement and acceptance criteria generation templates 
2. Automated meeting notes - action tracking, risk/issue summaries 
3. Test planning acceleration and regression prioritization 
4. Knowledge-base creation from delivery artifacts and support tickets 
5. Improve delivery metrics (cycle time, rework, escaped defects, utilization, on-time milestones) through automation and better information flow. 

• Identify opportunities across operations (Finance, HR, Legal/Compliance, Support, Sales Ops, Customer Success) where AI can reduce manual effort and improve decision-making. 
• Build repeatable automation patterns including: 

1. Internal copilots / agents for SOPs, policy Q&A, and ticket triage 
2. Document processing workflows (requirements, SOWs, change orders, deliverables) 
3. KPI dashboards and executive summaries from operational data 

• Establish RSI’s AI governance framework including: 

1. Acceptable use policy and developer guidance 
2. Data classification and safe handling rules 
3. Vendor/tool evaluation standards (security, privacy, residency, audit) 
4. Human-in-the-loop requirements for regulated contexts 
5. Partner with Security/IT and compliance stakeholders to ensure AI use aligns with public-sector expectations and RSI’s contractual obligations. 

• Serve as a translator between executives and practitioners, ensuring adoption at every level. 
• Deliver training and playbooks tailored to RSI roles (developers, PMs, QA, delivery leads, support). 
• Measure adoption and impact; adjust tooling and guidance based on feedback and performance. 
• Lead AI initiatives as a portfolio: define charters, success metrics, delivery plans, resourcing needs, and risk mitigation. 
• Communicate progress to the CEO and leadership team via monthly executive reporting, including ROI realized and next-quarter priorities. 
• Manage vendors/partners where appropriate; negotiate pilots and ensure value realization. 

Required Qualifications 

• 10+ years of progressive experience spanning technology leadership, digital transformation, or engineering productivity 
• Experience implementing AI in public sector and/or highly regulated environments
• Proven experience implementing AI/automation initiatives that delivered measurable ROI (not just prototypes). 
• Strong fluency in modern software development lifecycles; ability to work credibly with developers and architects. 
• Demonstrated ability to design and operationalize governance/guardrails for AI use, including data risk management. 
• Exceptional executive communication skills with the ability to translate technical concepts into business outcomes. 
• Track record of leading cross-functional change initiatives: adoption, training, and sustained process improvement. 
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent experience required. Advanced degree (MBA, MSCS, or related) is a plus. 

Preferred Qualifications 

• Experience in GovTech, tax, and/or finance systems  
• Familiarity with Microsoft (.NET) ecosystems, enterprise integration patterns, and modernization strategies.
• Experience introducing developer tooling and best practices (CI/CD, test automation, SDLC optimization). 
• Experience with Agile transformation, delivery operations, and professional services models. 
• Exposure to secure AI toolchains (e.g., enterprise copilots, private model deployments, prompt governance). 

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Physical Requirements: 

• Prolonged periods sitting at a desk and working on a computer. 
• Must be able to lift up to 15 pounds at times. 

EEO Statement: RSI is committed to providing equal opportunity in employment to all employees and applicants for employment. Discrimination of employees or applicants on the basis of race, religion, color, sex, age, national origin, veteran status, disability, sexual orientation and gender identity, marital status, genetic information, or any other protected category, is strictly prohibited. 

* Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

About Us 

Revenue Solutions, Inc. (RSI) empowers entities through solutions that improve citizen services, increase operational efficiency, collect additional revenue and maximize compliance. Through our delivery models, our solutions provide highly efficient and customizable systems that meet the essential needs of government. 

For nearly three decades, RSI has delivered transformative solutions across hundreds of client projects throughout the U.S. and Canada. 

Mission: RSI creates people-first technology solutions that empower governments to improve the experience, engagement, and trust for communities and their citizens. 

RSI determines pay range based upon numerous compensation factors, including experience, skill set, and geographic location. A current and reasonable estimated range for this position is $175,000 - $225,000. However, it’s possible for an individual to be hired at a salary outside of this range.