[Remote] VP, AI & Software Engineering

Note: The job is a remote job and is open to candidates in USA. RRD provides marketing, packaging, print, and business services supported by proprietary technology and advanced data analytics. The Vice President of AI & Software Engineering will lead the transformation to an AI-native engineering organization, driving AI-assisted software development, AI-powered business solutions, modern platform engineering, talent strategy, governance, and disciplined technology investment.

Responsibilities

• Define and lead the adoption of AI across the software development lifecycle, establishing new engineering practices that combine human expertise with AI-assisted definition, design, development, and delivery
• Maintain a strong understanding of the rapidly evolving AI engineering landscape and continually adapt engineering practices, principles, and investment priorities as capabilities mature
• Establish measurable approaches for evaluating the impact of AI on developer productivity, software quality and reliability, and overall speed of delivery
• Ensure autonomous engineering agents operate within defined guardrails and modernization standards so generated code aligns with production and architectural expectations from the outset
• Architect applications and infrastructure to be “agent-ready”, systematically removing friction so automated workflows have increasingly higher-quality results over time
• Build the organizational capability to design, develop, and operate AI-powered business solutions, including agentic applications, AI assistants, workflow automation, and operations optimization tools
• Establish practical patterns for integrating AI capabilities into enterprise applications and workflows, including the platforms, APIs, enterprise data, security, and observability required to operate them effectively
• Establish rigorous practices for evaluating AI technologies and solutions based on business value, implementation reality, cost, and risk
• Create an engineering model that supports our idea-to-production pipeline, providing a disciplined path for moving successful concepts into production-grade solutions
• Provide technical leadership on emerging AI technologies and vendors, separating realistic business value from market hype and informing build, buy, partner, and platform decisions
• Serve as a key advisor to the SVP of Digital Strategy and other business and technology leaders, helping define and adapt the enterprise technology roadmap, engineering strategy, and architectural vision
• Advance modular, API-first, and composable engineering patterns that support rapid business delivery and seamless AI integration
• Maintain responsible stewardship of core legacy platforms, making deliberate investment decisions about where to modernize, re-architect, or retain
• Systematically optimize codebases, environments, and data access layers so autonomous tools and human teams can develop software safely and efficiently
• Shape the right mix of internal engineering talent, strategic partners, outsourcing, and augmentation for an AI-native organization
• Build and continuously develop the capabilities of the engineering organization, creating opportunities for existing talent to grow and succeed as software engineering practices and technologies evolve
• Identify emerging capability gaps and execute focused hiring strategies that bring critical engineering expertise into the organization
• Design and oversee effective support and sourcing models that maintain reliability while increasingly using automation and AI to improve efficiency
• Maintain excellence in financial discipline, managing the department budget with transparency and precision
• Evaluate technology investments based on measurable business and engineering outcomes rather than technology adoption alone
• Identify cost improvement opportunities through automation, engineering productivity, architectural efficiencies, application rationalization, optimized vendor management, and active management of cloud and AI unit economics
• Manage OpEx/CapEx effectively, connecting technology investments and engineering milestones to measurable financial and business outcomes

Skills

• 10-14 years of technical experience with 4-6 years of direct management of staff (managers and staff) OR demonstrated ability to meet the job requirements through a comparable number of years of applicable work experience
• Demonstrated experience leading enterprise application modernization, including the evolution of legacy and monolithic systems toward modular, API-first, cloud-ready architectures
• Deep understanding of the AI software engineering landscape, with experience applying AI-assisted and agentic approaches across the software development lifecycle
• Demonstrated ability to establish and evolve engineering standards, architecture principles, and governance
• Experience leading the evolution of engineering operating models and practices across established technology organizations
• Strong background in OpEx/CapEx management and the ability to tie technical milestones to financial outcomes
• Able to consistently contribute effort, leadership, and creative thinking to solving complex and significant problems in a collaborative fashion
• Must be able to demonstrate an ability to work concurrently on multiple complex and sometimes ambiguous problems
• Able to communicate complex concepts, problems, and solutions clearly and effectively to all levels within the organization
• Exceptional leadership abilities with a track record of building, managing, and motivating high-performing teams that are geographically distributed
• Strong business acumen and ability to understand and drive business objectives
• Strong organizational skills, including the ability to perform well under pressure and manage multiple priorities with competing demands for resources
• Requires excellent communication skills with all levels of audience. Able to structure messages in keeping with the listener's experience, background, and expectations
• Bachelors Degree in Business, Computer Science, Information Systems, Industrial Management, Engineering, or related field, preferred

Benefits

• Medical coverage
• Dental coverage
• Vision coverage
• Paid time off
• Disability insurance
• 401(k) with company match
• Life insurance
• Other voluntary supplemental insurance coverages
• Parental leave
• Adoption assistance
• Tuition assistance
• Employer/partner discounts
• Depending on the role, participation in a bonus, commission or incentive program
• Remote work

Company Overview

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