
10,000+ employees
💼 Consulting
📦 Logistics
🏭 Manufacturing
Consulting • Logistics • Manufacturing
RR Donnelley is a leading global provider of marketing, packaging, print, and supply chain solutions that elevate engagement across the complete customer journey. The company offers the industry’s most trusted portfolio of creative execution and world-wide business process consulting, with services designed to lower environmental impact. With 22,000 clients, including 93% of the Fortune 100, and 32,000 employees across 28 countries, RRD brings the expertise, execution, and scale designed to transform customer touchpoints into meaningful moments of impact.
🔥 30 minutes ago
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10,000+ employees
💼 Consulting
📦 Logistics
🏭 Manufacturing
Consulting • Logistics • Manufacturing
RR Donnelley is a leading global provider of marketing, packaging, print, and supply chain solutions that elevate engagement across the complete customer journey. The company offers the industry’s most trusted portfolio of creative execution and world-wide business process consulting, with services designed to lower environmental impact. With 22,000 clients, including 93% of the Fortune 100, and 32,000 employees across 28 countries, RRD brings the expertise, execution, and scale designed to transform customer touchpoints into meaningful moments of impact.
• Define the architectural pattern for each client engagement, including skill decomposition, tool orchestration, data flow, integration approach, and deployment model • Ensure architecture aligns with security best practices and client requirements • Design client-specific guardrails • Review and sign off AI Workflow Engineer builds against the agreed architectural pattern • Own integration architecture with client systems, including authentication, data ingress, downstream deployment, and monitoring • Make platform-versus-custom decisions with the Head of Platform Engineering and Product • Design and document the target technical state, transition plan, and operational readiness criteria for handover • Own the engagement technical risk register and escalate risks to the Delivery Principal • Serve as Technical Lead across multiple client engagements • Partner with the Delivery Principal on scope, timeline, and technical feasibility decisions • Present technical architecture to senior client stakeholders, including CTOs, technical partners, information security, and enterprise architects • Specify integrations and work with the platform development team on integrations, connectivity, and upstream system integration • Guide AI Workflow Engineers on architectural choices, prompt strategy, and evaluation design • Contribute technical input to commercial conversations and flag scope creep and platform-limit risks • Develop and mentor AI Workflow Engineers and Integration Engineers • Provide structured technical input to functional managers on capability development • Contribute architectural patterns and technical playbooks to the Technical Lead community • Refine standards based on engagement experience • Mentor newer Technical Leads and contribute to cohort capability development • Ensure compliance with client requirements, data protection, security standards, and AiVA architectural standards
• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent experience • 8+ years of software engineering, cloud architecture, or enterprise integration experience • Track record of leading complex technical architecture on client-facing delivery engagements • Comfortable presenting to senior technical audiences • Experience with AI or automation platforms at enterprise scale • Familiarity with agent frameworks, LLM APIs, and orchestration patterns • Cloud certification (Azure preferred, AWS, GCP relevant) or equivalent demonstrated cloud architecture experience • Strong integration engineering background, including authentication, data pipelines, deployment infrastructure, and monitoring • Comfortable working across geographies and time zones, including US, UK, and EMEA clients • Experience in legal, professional services, or knowledge-worker environments preferred, not required • Senior client-facing technical presence with Chief Technology Officers, enterprise architects, and technical partners • Ability to direct technical work and determine when to intervene versus delegate • Ability to manage multiple engagements and competing priorities • Deep interest in AI-enabled automation architecture and current AI engineering practices • Resilience under client technical pressure • Continuous learning and adaptation as the AiVA platform evolves • Quality-first approach to architectural clarity, evaluation, and observability • Successful completion of a pre-employment background and drug screen • Candidates should refrain from using AI tools during interviews
• Medical coverage • Dental coverage • Vision coverage • Paid time off • Disability insurance • 401(k) with company match • Life insurance • Voluntary supplemental insurance coverages • Parental leave • Adoption assistance • Tuition assistance • Employer/partner discounts • Bonus, commission, or incentive program participation may be available depending on the role • Remote work availability
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