AI Architect – Technical Lead

RR Donnelley

. Define the architectural pattern for each client engagement, including skill decomposition, tool orchestration, data flow, integration approach, and deployment model .

Posted 9/30/2026full-timeRemote • Illinois • United StatesSenior💰 $129,500 - $207,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining and implementing architectural patterns for client engagements, ensuring alignment with security best practices and client requirements. Possesses strong integration engineering skills and a proven track record of leading complex technical architecture in client-facing environments.

Highest-signal resume keywords

Cloud ArchitectureIntegration EngineeringAI Workflow DesignTechnical LeadershipClient Engagement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringCloud ArchitectureIntegration ArchitectureData PipelinesAuthenticationDeployment InfrastructureMonitoringAI PlatformsAgent FrameworksLLM APIs

Soft Skills

Presentation SkillsResilience Under PressureMentoringCollaborationAdaptability

Tools & Technologies

AzureAWSGCPOrchestration PatternsAI Automation Tools

Certifications & Qualifications

Cloud Certification

Industry Keywords

Enterprise IntegrationTechnical ArchitectureClient-Facing DeliveryData ProtectionSecurity Standards

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & 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

Requirements

What you’ll need

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

Benefits

Comp & perks

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