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RR Donnelley
VP, AI & Software EngineeringRR Donnelley • Chicago, IL, United States
VP, AI & Software Engineering

VP, AI & Software Engineering

RR Donnelley • Chicago, IL, United States
16 hours ago
Salary
$172,400.00–$275,800.00 yearly
Job type
  • Full-time
Job description

VP, AI & Software Engineering

RRD provides a complete portfolio of marketing, packaging, print and business services to the world's most respected brands, including 92% of the Fortune 100. The company's proprietary technology, advanced data analytics and established expertise fuel organizational decision-making, from strategy through execution. With operations in 30 countries and over 35,000 employees, global organizations and regulated industries trust RRD to reduce complexity and drive audience connections across the entire customer journey.

The Vice President of AI & Software Engineering will shape the next era of our technology organization, leading the transformation from a traditional software engineering model to an AI-native engineering organization built on modern engineering practices and intelligent automation.

This leader will drive AI across two critical dimensions: transforming how we engineer software through AI-assisted and agentic development practices, and building AI-powered solutions that create meaningful business value. The VP of Engineering will guide the evolution of our people, processes, applications, and technology platforms while honoring the strong foundation that has successfully enabled our business for more than 30 years. They will balance innovation with pragmatism by applying AI where it improves engineering effectiveness or business outcomes.

As a strategic partner to the SVP of Digital Strategy, the VP of Engineering will help define our technology vision, engineering practices, AI strategy, governance, and investment priorities while ensuring disciplined execution, operational excellence, and sound financial stewardship.

AI-Native Software Engineering

  • 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.

AI Solution Engineering & Innovation

  • 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.

Modern Software & Platform Engineering

  • 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.

Strategic Talent & Delivery Models

  • 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.

Financial Discipline & Investment Management

  • 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.

RRD's current salary range for this role is $172,400 to $275,800 / year. The salary range may be adjusted based on the applicable geographic location of the hired employee, and the range may change in the future. At RRD, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions may vary based upon, but not limited to education, skills, experience, proficiency, performance, shift and location. Depending on the role, in addition to base salary, the total compensation package may also include participation in a bonus, commission or incentive program. RRD's benefit offerings include medical, dental, and vision coverage, paid time off, disability insurance, 401(k) with company match, life insurance and other voluntary supplemental insurance coverages, plus parental leave, adoption assistance, tuition assistance and employer/partner discounts.

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VP, AI & Software Engineering • Chicago, IL, United States

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