AI Workflow Engineer

Company Description

RRD provides marketing, packaging, print, and business services to the world’s most respected brands. The company’s proprietary technology, advanced data analytics, and expertise fuel organizational decision-making from strategy through execution, delivering sustainable solutions with the lowest possible environmental impact. Global organizations and regulated industries trust RRD to reduce complexity and drive audience connections across the entire customer journey.

Job Description

Join Williams Lea, an RRD Company, in transforming legal and business support through AiVA—our proprietary AI orchestration platform. Working in high-energy, bootcamp-style pods directly alongside top global law firms, our teams rapidly design, test, and deploy cutting-edge AI workflows that power business-critical operations. If you thrive on fast-paced iteration and want to redefine the future of professional services, apply today to join our AiVA Talent Pipeline and shape next-generation AI solutions.

Purpose of Role

The AI Workflow Engineer is an integral part of a small expert client facing engagement team that will deliver business transformation through the AIVA AI orchestration platform. The AI Workflow Engineer is the builder at the heart of the AiVA engagement working with client sme’s, operational sme’s, the delivery principle and the AIVA tech-lead to automate and optimise client processes.

During the client engagement, this role turns approved business process use-cases into working, governed AI skills inside the AiVA platform. The role will form part of the bootcamp team which will operate live, in the room, in front of client stakeholders, under time pressure, as well as delivering ongoing change throughout the engagement. The role is accountable for its robust, tested, deployable skills that deliver measurable business outcomes through the engagement lifecycle.

Overall Aims:

• Design and implementation of governed AI workflows delivered against approved use cases which are defensible under client scrutiny. The workflows should maximise the re-use of existing skills where possible. Failing that the Workflow engineer will develop custom skills in line with best practice and submit for inclusion in the central catalogue
• Rapid iteration cycles held during the initial deployment phase: skills built, tested, and demonstrated within the compressed engagement window.
• Clear demonstrations of the platform capability, building awareness across sme’s and client staff to drive the effectiveness of the change programme.
• Develop skills where their performance and quality holds through initial deployment, sustained delivery, and expansion without rework.
• Working platform capability that earns client trust and unlocks expansion.
• Skills built to production quality: tested, governed, and maintainable.

Key Responsibilities:

Skill Design & Build

• Design and compose workflows on the orchestration canvas, wiring existing catalogue skills first and building new skills only where there is a genuine capability gap to avoid creating a large client catalogue
• Design prompts, workflows, tool integrations, and evaluation harnesses that turn each use case into a working, governed skill.
• Iterate rapidly during the initial deployment phase: build, demonstrate to client stakeholders, refine, redemonstrate within the compressed engagement window.
• Instrument skills for observability, evaluation, and continuous quality measurement across the engagement lifecycle.
• Design guardrails and safety patterns that hold under client testing and production load.
• Own skill quality end-to-end: functional correctness, evaluation coverage, integration behaviour, deployment readiness.
• Present any custom skills and workflows to the change board for design approval

Engagement Execution

• Work as a fully-dedicated member of the multi-disciplinary delivery team through the engagement lifecycle until the engagement reaches sustained delivery.
• Partner with the Technical Lead on architecture decisions; own build execution within the agreed architectural pattern.
• Partner with the Business Analyst on requirements translation and with the Operations SME on domain understanding.
• 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 infrast…