AI Delivery Tech Lead in London

• AI Delivery Tech Lead, Song Service
• CL5 - Director
• 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 be accountable for Song’s most complex agentic programmes, shaping and delivering transformational customer platform solutions and driving commercial growth.

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 by shaping exceptional agentic experiences that deliver cost transformation and drive growth.

We focus on

• Reinventing customer service across physical, digital and AI‑powered channels
• Designing future‑ready service models, enabled by platforms, data and automation
• Embedding Gen AI, 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
• Ensuring the services we design deliver real value for customers
• We work across the full lifecycle: from ambition and vision, through design and experimentation, to scaled delivery and adoption.
• What you’ll do
• Lead in the Song Service practice
• Define how Song builds, ships and sustains AI systems at enterprise scale
• Own the technical delivery standard across multiple agentic programmes; architecture governance, eval frameworks, compliance posture and engineering excellence
• Drive thought leadership on production AI engineering, multi‑agent systems and the future of agentic delivery
• Drive Song Services’ point of view on AI engineering, agentic infrastructure and production AI
• Build and own strategic partnerships with platform providers: Anthropic, Open AI, AWS, Google, Microsoft and upcoming vendors.
• Represent Song at industry events, analyst briefings and executive client forums as a technical authority
• Drive commercial growth
• Own C‑suite and technical executive relationships across Song’s largest agentic clients
• Lead pursuit activity on major engineering programmes; shaping proposals, pricing and commercial structures
• Identify and convert new commercial opportunities within existing and new accounts
• Build Song’s pipeline of agentic delivery engagements across Telco, Financial Services, Public Sector and Resources
• Build the team and the talent
• Recruit, develop and retain the best AI engineering talent in the market
• Build a culture of craft, learning and technical excellence across the practice
• Sponsor senior engineering talent and build the next generation of AI delivery directors
• Partner with Accenture’s global AI and technology practices to bring the best of the firm to Song clients

Experience Required

Extensive hands‑on engineering experience with a proven track record of leading enterprise‑scale AI delivery, owning technical practices and driving commercial outcomes in professional services.

• Core experience
• Deep engineering background with production experience in Python and similar languages across AI systems
• Proven track record of architecting and leading delivery of RAG pipelines, multi‑agent systems and LLM‑based products at enterprise scale across multiple clients
• Deep hands‑on experience across at least major cloud AI platforms (AWS Bedrock, GCP Vertex AI, Azure AI Studio)
• Experience designing and owning eval frameworks, red‑teaming processes and AI compliance postures
• Proven track record of leading and developing engineering teams in agile, client‑facing delivery contexts
• Demonstrable commercial impact; pipeline generation, major account wins or significant scope expansion on existing accounts
• AI, data and technology awareness
• A working awareness of the technology landscape that underpins agentic delivery — enough to engage credibly with engineering teams and clients, and to shape and govern solutions.

This includes familiarity with

• Agentic frameworks (e. g. Lang Graph, Lang Chain, Crew AI, Auto Gen, Agentforce)
• Foundation model providers (e. g. Claude, Open AI, Gemini, AWS Bedrock)
• Retrieval and data approaches such as vector databases (e. g. Pinecone, Weaviate, Llama Index, pgvector)
• Cloud AI platforms (AWS, GCP and Azure)
• How AI solutions are tested, deployed and maintained reliably in production
• The AI governance and regulatory landscape, including the EU AI Act, bias and model drift, and what it means for responsible delivery
• Leadership & consulting skills
• Outstanding technical leadership with proven experience growing and managing engineering teams at scale
• Confident communication of complex AI topics to senior client stakeholders and executive audiences
• Deep understanding of commercial models, delivery economics and P&L contribution in professional services
• Proven ability to shape and win large, technically complex engagements
• Comfortable leading within agile, collaborative, fast‑moving consulting environments
• Experience in Telco or Financial Services at the most senior client levels
• 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, Poly AI, NICE Cognigy, Agentforce Contact Centre and Amazon Connect)
• EU AI Act or AI governance certifications or published guidance
• Published thought leadership on production AI engineering, agentic delivery or AI compliance
• 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

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.

General expectations

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.

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