Distinguished Engineer – AI & Engineering Transformation

• Lead enterprise-wide transformation initiatives across AI-enabled product innovation and engineering productivity
• Drive adoption of AI across Acumatica’s products and workflows
• Partner with AI/ML, platform, product, and application engineering teams to define and scale AI-powered product capabilities
• Guide application teams in using AI building blocks, orchestration infrastructure, and platform services
• Influence application architecture, design patterns, and engineering practices for scalable AI adoption
• Identify and deliver high-impact customer AI scenarios involving automation, insights, and workflow acceleration
• Transform the engineering lifecycle through AI-assisted development practices
• Monitor AI-enabled software development trends, tooling, and best practices
• Identify opportunities to improve productivity, engineering quality, and delivery efficiency using AI
• Drive adoption of modern engineering practices across BA, development, and QA teams
• Partner with engineering leaders to evolve software design, development, testing, and maintenance at scale
• Define and influence long-term AI and engineering transformation strategy
• Evaluate emerging technologies, industry trends, and competitive movements
• Align technical strategy with customer and business priorities
• Provide hands-on technical guidance, architectural leadership, and mentorship
• Lead through influence by aligning stakeholders, building consensus, and driving execution across organizational boundaries
• Represent Acumatica externally with customers, partners, analysts, and at industry events and conferences
• Report to the Chief Engineering Officer

• Bachelor’s degree in Computer Science, Engineering, Applied Mathematics, or related field
• 15+ years of software engineering experience
• Significant experience leading large-scale technical initiatives in SaaS or cloud-based enterprise software environments
• Proven experience delivering and productizing AI/ML capabilities in enterprise applications
• Strong enterprise application architecture experience
• Experience driving engineering transformation initiatives, including modern software development practices and AI-assisted engineering workflows
• Demonstrated ability to influence across organizations, align senior stakeholders, and lead complex initiatives without direct authority
• Deep technical credibility with the ability to operate strategically while remaining hands-on when needed
• Strong communication and collaboration skills
• Advanced degree (MS or PhD) is a plus
• Experience working in fast-moving product organizations is a plus
• Experience with partnerships, acquisitions, or ecosystem strategy in the AI/ML space is a plus

• Annual bonus eligibility
• Stock eligibility
• Sales incentives for certain roles
• Healthcare benefits for US-based employees, including medical, dental, and vision insurance for employees and dependents
• Employer-paid short-term and long-term disability coverage
• Employer-paid basic life coverage
• 401(k) plan with company match
• Flexible time off
• Sick and safe leave
• Work/life balance
• Professional and financial growth potential