About the Role
This is an engineering-first role where you will design, build, test, deploy, and run automations using UiPath, integrating AI capabilities (Gemini/LLM) where they tangibly improve outcomes. You will operate as the delivery and product owner for automation outcomes, working independently, making day-to-day implementation decisions, and escalating by exception. Our client needs a high-output delivery operator who takes direction well and thrives in a demanding, high-performance environment.
Responsibilities
- Own end-to-end automation delivery: intake, process mapping, solution design, build, test, release, hypercare, BAU handover/runbooks.
- Build and maintain robust UiPath automations (attended/unattended) with production-grade engineering patterns: resilience, retries, idempotency, exception handling, monitoring, logging and supportability.
- Implement AI-enabled automation using Gemini/LLM integrations where appropriate (e.g., extraction, classification, summarisation, triage), ensuring controls, traceability and appropriate human-in-the-loop design.
- Act as the product owner for automation outcomes: manage an automation backlog, define acceptance criteria, prioritise delivery, and track measurable benefits (time saved, risk reduced, throughput increased).
- Partner closely with Operations, Finance, Treasury and (where applicable) Legal/Compliance stakeholders to embed controls into workflows (approvals, evidence capture, audit trails, SoD).
- Establish and maintain continuous assurance / test automation for automation: automated regression checks, control validation routines, and operational health monitoring.
- Own documentation standards: solution design docs, SOPs/runbooks, release notes, evidence packs and support procedures.
- Identify and remediate automation risk: breakpoints, failure modes, data-quality issues, access/credential risks; escalate by exception with clear options and trade-offs.
Requirements
- Demonstrable experience delivering automation in financial services (buy-side strongly preferred).
- Deep hands-on expertise with UiPath (Studio, Orchestrator, queues, exception frameworks; able to build independently without client upskilling).
- Practical experience integrating AI/LLMs into operational workflows (Gemini preferred) with a clear view on controls, auditability, and operational risks.
- Proven track record of shipping automations to production, not just POCs, and owning stability post go-live.
- Strong delivery discipline: works at pace, handles ambiguity, executes reliably in high-pressure environments.
- Experience/exposure to Legal/Compliance processes and control environments; familiarity with evidence-driven governance.
- Exposure to Equities / Fixed Income operational processes.
Skills
- UiPath
- RPA
- AI
- Gemini
- LLM
- Automation
Location
- London
Work Type
- Onsite
- Contract
Experience Level
- Experienced
Salary/Compensations
- To be discussed
About the Company
- ace is a specialist post-digital advisory and delivery partner helping financial institutions implement high-impact automation, AI, and post-digital solutions in regulated environments. We combine deep technical expertise with a practical understanding of governance, controls, and operational risk to delivery production-grade outcomes at pace.
- We are part of the G MASS group, a global financial services resource augmentation and consulting firm that provides expert talent and delivery support across transformation, change, and operational resilience.
