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# AI CX Delivery Consultant

- **Company:** Accenture
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Encodings, Databases, Python (Programming Language), Open Source Technology, OpenAI, Amazon Connect, Pinecone, Chatbots, Genesys, LangChain, Retrieval-Augmented Generation, Large Language Models, Claude Code, Google Vertex AI, Llamaindex, Agentic-AI, Build Management, Pgvector, CrewAI, Data Analytics, Weaviate, Azure AI, Api Design, Google Gemini
- **Published:** October 14, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=075dcde977eb06fe

## About the Role

Professional engineering experience with hands-on involvement in AI or agentic systems in production, not just in demos.

The most important thing for us is that you have the right combination of engineering skill and design curiosity. We want people who think about what the agent experience feels like, not just whether the code runs.

Core experience

 * Engineering background with production experience in Python and similar languages across AI systems

 * Hands-on experience with at least one agentic framework (LangGraph, LangChain, CrewAI or equivalent)

 * Experience with foundation model APIs (Claude API, OpenAI API or Vertex AI)

 * RAG implementation experience with at least one vector database

 * Cloud deployment experience across AWS, GCP or Azure

 * Evidence of AI systems you have built and deployed to production - not just notebooks

AI, data and technology awareness

 * Agentic experience and experience delivering GenAI-enabled services (e.g. conversational AI)

 * Practical experience with:

 * Agentic frameworks: LangGraph, LangChain, CrewAI, Agentforce or similar

 * Foundation model providers: Claude Code/Codex/Gemini, OpenAI or AWS Bedrock

 * Vector databases: Pinecone, Weaviate, LlamaIndex or pgvector

 * Cloud platforms: AWS Bedrock, GCP Vertex AI or Azure AI Studio

Leadership & consulting skills

 * Clear communication; able to explain technical decisions to non-engineers

 * Collaborative and team-oriented; comfortable in multi-disciplinary delivery environments

 * Self-directed and proactive; able to manage your own delivery within a project structure

 * Eagerness to grow in a client-facing engineering role

 * Telco or Financial Services experience is a strong value add

Set yourself apart

 * Open source contributions to agentic or LLM tooling

 * Personal projects demonstrating production AI engineering outside of employment

 * Contact centre platform experience (e.g. Genesys, Sierra, Decagon, Parloa, PolyAI, NICE Cognigy, Agentforce Contact Centre and Amazon Connect)

 * EU AI Act or AI governance awareness

 * Experience in Telco, Financial Services or Public Sector; our highest-demand client verticals

## Description

* Data-driven transformation across service to reduce cost and drive growth

 * Designing future-ready service models, enabled by platforms, data and automation

 * Embedding GenAI, intelligent automation and decisioning into customer service journeys and operations

 * Supporting clients to define a customer-first mindset, helping them shape their business and operating models

 * Delivering measurable business outcomes, not just great experiences

We work across the full lifecycle: from ambition and vision, through design and experimentation, to scaled delivery and adoption.

What you'll do

Build agentic experiences to production

 * Design and build agentic experiences end-to-end, from brief to deployed agent in a production environment

 * Prompt engineer, test and iterate on deployed AI agents across client use cases

 * Work across LangGraph, LangChain, Claude Code/Codex/Gemini and RAG pipelines

 * Implement RAG and vector database solutions (Pinecone, Weaviate, LlamaIndex)

 * Deploy across cloud platforms: AWS Bedrock, GCP Vertex AI or Azure AI Studio

Bridge CX and engineering

 * Hold the full stack from CX design to shipped agent

 * Collaborate with AI Experience Designers, Conversational PMs and Strategy leads

 * Translate CX requirements into technical implementations

Grow people, capability and the practice

 * Contribute to Song's reusable agentic delivery assets and accelerators

 * Stay at the frontier of agentic tooling; new frameworks, model releases, platform updates