Distinguished Engineer – AI, Engineering Transformation

Job Description: • Lead Acumatica’s next phase of transformation in the AI era • Lead enterprise-wide transformation initiatives across AI-enabled product innovation and engineering productivity • Partner with platform, AI/ML, product, and application engineering leaders to accelerate AI adoption • Shape how Acumatica builds and delivers software in the AI era • Drive adoption of AI across products and workflows • 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 • Transform the engineering lifecycle through AI-assisted development practices • Identify opportunities to improve productivity, engineering quality, and delivery efficiency using AI • Drive modern engineering practices across business analysis, development, and QA teams • Evolve how software is designed, built, tested, and maintained 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 • Align stakeholders, build consensus, and drive execution across organizational boundaries • Represent Acumatica externally with customers, partners, analysts, and at industry events and conferences Requirements: • 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 • 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 Benefits: • Exceptional professional and financial growth potential • Annual bonus eligibility for certain roles • Stock eligibility for certain roles • Sales incentives for certain roles, depending on plan and role • Healthcare benefits for US-based employees: 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