AI Workflow Engineer

Join Williams Lea an RRD Company in transforming legal and business support through AiVAour 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 smes operational smes 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.

• 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 smes 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 infrastructure.
• Contribute technical input to scope and value conversations; flag build feasibility timeline realism and platform limits early.

Craft Development

• Develop deep AiVA platform fluency; contribute back to platform tooling and to the wider AI Workflow Engineer community through structured knowledge sharing.

Continuous Improvement & Capability

• Contribute reusable patterns prompt templates and evaluation frameworks to the platform capability library that compounds across engagements.
• Mentor newer AI Workflow Engineers as the function scales; contribute to capability development across the cohort.
• Ensure compliance with client requirements data protection security standards and AiVA platform governance across all skills built.

Qualifications :

• 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.
• Bachelors degree in Computer Science Engineering or a related technical field or equivalent experience.
• Strong written and verbal communication skills; can explain technical decisions to non-technical audiences.
• Comfortable working across geographies and time zones (US UK EMEA clients).
• Operational or process-oriented background is highly desirable: experience working in alongside or embedded with an operational team with exposure to how workflows actually run including where they break. 
• Process mindset: designs skills that anticipate exceptions handoffs and human-in-the-loop patterns rather than just the happy path. Comfortable modeling a workflow as it is actually performed including the parts that dont appear in the spec.

Personal Attributes

• Strong technical builder mindset with the discipline to ship rather than to perfect.
• Comfortable operating under sustained pressure in client-facing rooms; builds live demonstrates live iterates in real time.
• Deep interest in AI-enabled automation as a craft; keeps up with the platform the model landscape and the prompt engineering community.
• Process instinct: notices where a workflow breaks in practice not just where its defined to break. Thinks about exception handling human touch-points and handoffs as central to skill design rather than as edge cases.
• Collaborates well across technical and non-technical disciplines; comfortable translating between architecture requirements and domain conversations.
• Resilient under change; iterates gracefully when client feedback shifts a requirement mid-build.
• Continuous learner; adapts patterns based on what works and what does not.
• Quality-first orientation; treats evaluation and guardrails as first-class deliverables not afterthoughts.
• Comfortable working across geographies (US UK India) and across sectors including legal and professional services.

Additional Information :

RRDs current salary range for this role is $107000 to $171200/ 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. RRDs 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.

At RRD we value innovation authenticity and integrity. To uphold the security and fairness of our hiring process we ask that candidates refrain from using AI tools during interviews to ensure an authentic and secure experience. We appreciate your cooperation as we work to maintain a transparent and equitable hiring process.

All employment offers are contingent upon the successful completion of both a pre-employment background and drug screen.

Remote Work :

Yes

Employment Type :

Contract