Descrição
AI Delivery Tech Lead, Song Service
CL8
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 Delivery Tech Lead in Accenture Song Service, you will play a key role in delivering AI systems at enterprise scale; contributing to and supporting the delivery of transformational customer platform solutions that take agentic products from prototype to production.
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
Architect and build agentic experiences to production
Work in a technical capacity contributing through hands-on CCaaS/AI design and build to deliver customer experience and contact platforms at scale
Be at the forefront of CCaaS and AI innovation, helping clients build connected, always-on service models for their customers
Transform customer journeys and service interactions using data, CCaaS platforms and AI to create seamless and consistent experiences
Contribute to building and delivery of RAG pipelines, multi-agent orchestration and eval frameworks for enterprise-scale AI deployments
Be a technical advisor
Support client teams on AI architecture decisions, platform selection and build vs buy trade-offs
Define technical delivery approaches and infrastructure strategies
Engage credibly with client technical teams at Manager/Lead level
Translate complex technical constraints into clear strategic recommendations
Deliver at scale
Contribute to delivering transformational customer platform solutions for clients who want deeper understanding of how customers engage with their products and services
Contribute to engineering teams across complex, multi-system agentic programmes
Contribute to 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
Grow people, capability and the practice
Support more junior engineers and develop technical capability within the practice
Contribute to sales, propositions and go-to-market activity
Contribute to thought leadership on production AI engineering and agentic delivery
Experience Required
Solid hands-on engineering experience with a track record of building AI systems, ideally with some exposure to enterprise or production environments. We want people who are passionate about shipping real AI products and are eager to grow their understanding of what it takes to build and run AI systems at scale in regulated environments.
Core Experience
Strong engineering background with production experience in Python and similar languages across AI systems
Experience building or contributing to RAG pipelines, multi-agent systems or LLM-based products, ideally at meaningful scale
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 that demonstrates deployed or near-production AI systems, with an interest in regulated or enterprise environments
Some experience working within engineering teams in agile, client-facing delivery contexts
AI, data and technology awareness
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
CI/CD for AI: version-controlled prompts, automated testing, deployment pipelines
EU AI Act compliance, bias auditing and model drift detection
Leadership & Consulting Skills
Some technical leadership experience or a demonstrable appetite to grow into team leadership
Clear communication of complex technical topics to client stakeholders
Experience making and communicating architecture trade-offs under delivery pressure
Awareness of commercial models and technical delivery in professional services
Comfortable leading within agile, collaborative, fast-moving consulting environments
Experience in Telco or Financial Services
Set yourself apart
Certifications in AWS, GCP, Azure or Anthropic AI platforms
Open-source contributions to agentic or LLM tooling
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 certifications or published guidance
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:
25 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.
Employee Assistance Programme, Career Development and Counselling.
A range of generous Parental Leave offerings.
Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the outstanding services we are known for.
Please note that with all our roles, you should expect some in-person time for collaboration, learning and building rapport with clients, peers, leaders and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.
Accenture is an equal opportunities employer and encourages applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age citizenship, marital, domestic or civil partnership status, sexual orientation or gender identity.
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