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
Company H1B Sponsorship