AI Delivery Tech Lead, Song Service

ACCENTURE; Greater London; On-site; GBP 120,000 - 160,000; Full time

Benefits offered by this job

30 days of leave

Flexible work policies

Pension plan

Private healthcare

Employee Assistance Programme

Parental leave

Job summary

Accenture Song, the world’s largest tech-powered creative group, is seeking an AI Delivery Tech Lead in London. You will architect and deliver agentic experiences at production scale, guiding clients on AI architecture and delivery strategies while leading multi‑team engineering efforts.

You will mentor engineers, collaborate with sales and strategists, and drive adoption of cutting-edge AI platforms across enterprise contexts.

Qualifications

• Production experience in Python and AI systems.
• Architecting and delivering RAG pipelines or multi-agent systems at enterprise scale.
• Hands-on experience with major cloud AI platforms (AWS Bedrock, GCP Vertex AI or Azure AI Studio).

Responsibilities

• Architect and build agentic experiences to production.
• Be a trusted technical advisor to clients on AI architecture decisions.
• Deliver at scale by shaping and delivering transformational customer platform solutions.
• Grow people, capability and the practice within the team.

Skills

Python

RAG pipelines

LLM-based products

AWS Bedrock

LangGraph

LangChain

Leadership

Client-facing delivery

Tools

AWS Bedrock

GCP Vertex AI

Azure AI Studio

LangGraph

LangChain

Job description

Job Title

AI Delivery Tech Lead, Song Service

Level: L7

Locations: 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.

Our mission: Help our clients deliver exceptional human and agentic experiences that deliver simplicity, cost transformation, and an engine for growth.

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
• Working 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
  • Build and lead delivery of RAG pipelines, multi‑agent orchestration and eval frameworks for enterprise‑scale AI deployments
• Be a trusted technical advisor
  • 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
• Deliver at scale
  • Shape and deliver transformational customer platform solutions for clients who want deeper understanding of how customers engage with their products and services
  • 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
• Grow people, capability and the practice
  • 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

Core experience

• 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‑team processes and quality measurement for AI systems
• A portfolio or track record that demonstrates production‑deployed AI systems in regulated or enterprise environments
• Proven ability to lead engineering teams in agile, client‑facing delivery contexts

AI, data and technology awareness

• Deep 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

• 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

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:

• 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.
• 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.

Equal Employment Opportunity Statement

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.

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

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