AI Workflow Engineer

RR Donnelley

. Design and compose workflows on the AiVA orchestration canvas .

Posted 10/7/2026contractRemote • Illinois • United StatesMid-LevelSenior💰 $107,000 - $171,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying AI applications, with a strong focus on workflow orchestration, prompt engineering, and tool integration. Possesses the ability to communicate complex technical concepts effectively to diverse audiences while ensuring compliance with data protection and governance standards.

Highest-signal resume keywords

AI Application DevelopmentWorkflow OrchestrationPrompt EngineeringTool IntegrationClient-Facing Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringApplied AIMachine LearningAutomation Platform DevelopmentProduction-Quality AI ApplicationsModern LLM APIsAgent FrameworksOrchestration PlatformsEvaluation FrameworksData Pipeline Coordination

Soft Skills

Strong Written CommunicationStrong Verbal CommunicationAbility to Explain Technical DecisionsProcess MindsetMentoring

Tools & Technologies

AiVA Orchestration CanvasIntegration InfrastructureEvaluation HarnessesPlatform Tooling

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceBachelor’s Degree in Engineering

Industry Keywords

Client RequirementsData ProtectionSecurity StandardsGovernanceOperational Team Experience

About the role

Key responsibilities & impact

Design and compose workflows on the AiVA orchestration canvas
Reuse catalogue skills and build custom skills where genuine capability gaps exist
Design prompts, workflows, tool integrations, and evaluation harnesses
Rapidly build, test, demonstrate, and refine skills during initial deployment
Instrument skills for observability, evaluation, and continuous quality measurement
Design guardrails and safety patterns for client testing and production load
Own skill quality, functional correctness, evaluation coverage, integration behavior, and deployment readiness
Present custom skills and workflows to the change board for design approval
Work as a dedicated member of the multidisciplinary delivery team through sustained delivery
Partner with the Technical Lead on architecture and build execution
Translate requirements with the Business Analyst and understand domain processes with the Operations SME
Demonstrate working skills live to client stakeholders, including senior operational and technical audiences
Coordinate with the Integration Engineer on data pipelines, upstream systems, and deployment infrastructure
Provide technical input on scope, value, feasibility, timelines, and platform limits
Develop deep AiVA platform fluency and contribute to platform tooling
Share knowledge with the AI Workflow Engineer community
Contribute reusable patterns, prompt templates, and evaluation frameworks to the platform capability library
Mentor newer AI Workflow Engineers
Ensure compliance with client requirements, data protection, security standards, and AiVA governance

Requirements

What you’ll need

3+ years of software engineering, applied AI or machine learning, or automation platform development experience
Demonstrated experience building production-quality AI applications, including prompt engineering, tool integration, and evaluation
Familiarity with modern LLM APIs, agent frameworks, and orchestration platforms
Willingness to develop deep AiVA platform fluency rapidly
Experience working in client-facing or client-adjacent delivery roles preferred
Comfortable presenting technical work to senior audiences
Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent experience
Strong written and verbal communication skills
Ability to explain technical decisions to non-technical audiences
Comfortable working across geographies and time zones (US, UK, EMEA clients)
Operational or process-oriented background highly desirable
Experience working in, alongside, or embedded with an operational team
Exposure to how workflows run, including where they break
Process mindset, including exception handling, handoffs, and human-in-the-loop patterns
Comfortable modeling workflows as actually performed
Comfortable working across geographies (US, UK, India) and across sectors including legal and professional services
Successful completion of a pre-employment background and drug screen
Ability to work in a client-facing, high-pressure environment

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 may be included depending on the role
Pre-employment background and drug screen required