About this role
Salary: £50,000 - 75,000 per year
Requirements: Significant hands-on engineering experience with a proven track record of building and running AI systems at enterprise production scale.Strong engineering background with production experience in Python and similar languages across AI systems.Proven track record of architecting and delivering RAG pipelines, multi-agent systems, or LLM-based products at enterprise scale.Deep hands-on experience with at least one major cloud AI platform (AWS Bedrock, GCP Vertex AI, or Azure AI Studio).Experience designing eval frameworks, red-teaming processes, and quality measurement for AI systems.A portfolio or track record demonstrating production-deployed AI systems in regulated or enterprise environments.Proven ability to lead engineering teams in agile, client-facing delivery contexts.Deep practical experience with agentic frameworks such as LangGraph, LangChain, CrewAI, Agentforce, or similar.Experience with foundation model providers such as Claude Code/Codex/Gemini, OpenAI, or AWS Bedrock.Experience with vector databases such as Pinecone, Weaviate, LlamaIndex, or pgvector.Experience with CI/CD for AI, including version-controlled prompts, automated testing, and deployment pipelines.Experience with EU AI Act compliance, bias auditing, and model drift detection.Strong technical leadership and engineering team management experience.Confident communication of complex technical topics to senior client stakeholders.Experience making and communicating architecture trade-offs under delivery pressure.Understanding of commercial models and technical delivery economics in professional services.Comfortable leading within agile, collaborative, fast-moving consulting environments.Experience in Telco or Financial Services.Certifications in AWS, GCP, Azure, or Anthropic AI platforms are a plus.Open-source contributions to agentic or LLM tooling are a plus.Contact centre platform experience such as Genesys, Sierra, Decagon, Parloa, PolyAI, NICE, Cognigy, Agentforce Contact Centre, or Amazon Connect is a plus.EU AI Act or AI governance certifications or published guidance are a plus.Experience in Telco, Financial Services, or Public Sector is a plus. Responsibilities: Architect and build agentic experiences to production.Contribute hands-on to CCaaS/AI design and build to deliver customer experience and contact platforms at scale.Help clients build connected, always-on service models using CCaaS and AI innovation.Transform customer journeys and service interactions using data, CCaaS platforms, and AI.Build and lead delivery of RAG pipelines, multi-agent orchestration, and eval frameworks for enterprise-scale AI deployments.Advise clients on AI architecture decisions, platform selection, and build vs buy trade-offs.Define technical delivery approaches and infrastructure strategies.Engage credibly with client technical leadership at Principal/Director level.Translate complex technical constraints into clear strategic recommendations.Shape and deliver transformational customer platform solutions.Lead engineering teams across complex, multi-system agentic programmes.Set technical standards, quality frameworks, and architecture governance.Ensure systems are designed for scalability, observability, and compliance.Collaborate closely with Forward Deployed Engineers, Experience Designers, and Strategy leads.Mentor engineers and grow technical capability within the practice.Support sales, propositions, and go-to-market activity.Contribute to thought leadership on production AI engineering and agentic delivery. Technologies: AIAWSArchitectAzureCI/CDClaude CodeCloudGCPGenesysSupportLLMPythonRAGNetwork More:
We are Accenture Song, the worlds largest tech-powered creative group, and we put customer experience at the center of everything we do. As part of Accenture Song Service, we help clients design, build, and run meaningful experiences that drive growth, simplicity, and cost transformation. Our team focuses on reinventing customer service across physical, digital, and AI-powered channels; data-driven transformation; future-ready service models; and embedding GenAI, intelligent automation, and decisioning into customer journeys and operations. We work across the full lifecycle from ambition and vision through design, experimentation, scaled delivery, and adoption. This role is based in London, Manchester, or Edinburgh. We offer a competitive basic salary, annual performance bonus, opportunities to acquire equity, and a wide range of health and wellbeing benefits, including 30 days of leave plus 3 volunteering days, family-friendly and flexible work policies, an attractive pension plan, private healthcare, mental wellbeing support, an Employee Assistance Programme, career development and counselling, and generous parental leave offerings. Flexibility and mobility are required, with some onsite time expected for collaboration with clients, peers, leaders, and communities.
last updated 36 week of 2026