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Acumatica

Distinguished Engineer – AI, Engineering Transformation

Acumatica

. Lead Acumatica’s next phase of transformation in the AI era .

Posted 9/24/2026full-timeRemote • Washington • United States, SerbiaSeniorLead💰 $240,000 - $275,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading AI-driven transformation initiatives within enterprise software, focusing on AI/ML capabilities, application architecture, and modern engineering practices. Proven ability to influence stakeholders and drive execution across organizational boundaries while providing hands-on technical guidance.

Highest-signal resume keywords
AI/ML Capabilities DeliveryEnterprise Application ArchitectureEngineering Transformation InitiativesSaaS or Cloud-Based Software ExperienceStakeholder Alignment and Influence

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software EngineeringAI-Enabled Product InnovationAI-Assisted Development PracticesApplication ArchitectureEngineering Quality ImprovementProductivity EnhancementModern Software Development PracticesTechnical Strategy AlignmentCustomer AI Scenarios IdentificationOrchestration Infrastructure
Soft Skills
Strong Communication SkillsCollaboration SkillsMentorshipInfluencing Without AuthorityConsensus Building
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceBachelor’s Degree in EngineeringBachelor’s Degree in Applied Mathematics
Industry Keywords
AI AdoptionEnterprise SoftwareCloud-Based EnvironmentsProduct OrganizationsEcosystem Strategy

Tech Stack

Tools & technologies
Cloud

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • 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