AI CX Delivery Consultant

AI CX Delivery Consultant, Song Service  CL9   -   Consultant   London, Manchester, Edinburgh   We are Accenture Song, the world's largest tech-powered creative group. For us, customer experience is not an add-on; it’s foundational to who we are and how we empower our clients. As the world’s largest, most disruptive agency, we drive lasting growth for clients by helping them design, build, and run meaningful experiences that make people’s lives better, more productive, and more meaningful.   As an AI CX Delivery Consultant in Accenture Song Service, you will design and build agentic experiences to production, working at the intersection of CX strategy and engineering to deliver AI systems that work.   Our mission:   Is to help our clients to deliver exceptional human and agentic experiences that deliver simplicity, cost transformation, and an engine for growth.    Every interaction is a moment to resolve, deepen trust, build loyalty, and demonstrate the brand promise when it counts most.   If you're looking for a challenging career working in a vibrant environment with access to training and a global network of specialists, this is the role for you.     As a team   The Service practice sits within Accenture Song. Our   vision is to deliver iconic client outcomes. A shared purpose for our people; to grow, to build new skills, and do our best work.   We focus on:   Reinventing   customer service   across physical, digital/app-based and AI-powered channels   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   Build your craft in production AI engineering within a supported, high-growth environment   Experience Required   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 .   W e 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   What's in it for you   Our   Total Rewards   consist of a competitive basic salary, annual performance bonus, opportunities to acquire equity and a wide range of health and wellbeing benefits. These include perks such as:   30 days of leave to spend each year plus 3 extra volunteering days per year for charitable work of choice.   Family-friendly and flexible work policies.   Attractive pension plan with financial wellbeing support and resources.   Private healthcare insurance plan and Mental Wellbeing support.   E