1 day ago
Manchester, United Kingdom or London, United KingdomStaff+
Responsibilities
- Build and deploy agentic workflows into live finance processes, including reconciliations, journals, exception handling, disputes, collections, and variance explanation.
- Implement LLM application patterns such as tool and function calling, structured outputs, retrieval, context and memory management, multi-agent orchestration, and prompt or configuration versioning.
- Integrate with ERP, EPM, document, and workflow systems using secure APIs, events, identity controls, and reusable connectors.
- Develop evaluations, automated tests, trace-level observability, red-team scenarios, and quality, groundedness, latency, and cost measures.
- Build finance-user interfaces for reviewing, approving, overriding, and evidencing agent actions, including provenance, citations, feedback capture, accessibility, and error recovery.
- Package, deploy, monitor, and operate solutions using cloud AI services, containers or serverless components, infrastructure as code, secrets and configuration management, release controls, and rollback.
- Collaborate with finance users, process specialists, architects, and data engineers to clarify requirements, demonstrate increments, and document operating procedures and runbooks.
- Contribute tested code, evaluation assets, reference implementations, and implementation guidance to the practice asset base.
Requirements
- At least 6 years of relevant professional experience.
- Strong software engineering discipline with Python and at least one additional production language such as TypeScript or equivalent, plus version control, testing, CI, maintainable code, SQL, API design, code review, and secure coding practices.
- Hands-on LLM application development involving tool use, structured outputs, retrieval, agent frameworks, embeddings, vector or graph retrieval, prompt and configuration management, and enterprise integrations.
- Practical evaluation, observability, LLMOps, or AgentOps experience covering versioning, monitoring, release, rollback, and analysis of quality, latency, and cost.
- Understanding of secure enterprise integration and sensitive-data handling, including authentication, authorization, secrets, logging, and PII-aware design.
- Ability to work directly with clients and non-technical finance users and translate needs into testable requirements while explaining risks and trade-offs.
- Front-end capability with React, Next.js, or an equivalent framework is desirable.
- Experience with SAP, Oracle, Workday, Anaplan, OneStream, or finance processes such as close, planning, order to cash, or procure to pay is desirable.
- Experience with MCP, graph or semantic retrieval, data engineering, event-driven integration, or workflow orchestration is desirable.
- Experience deploying software or data products on Azure, AWS, GCP, Databricks, Snowflake, or Palantir, using relevant cloud services and containers, Kubernetes, or serverless patterns is desirable.
- Experience in regulated environments or under responsible-AI, security, or model-risk controls is desirable.
Tech Stack
Categories
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.