AI Delivery Tech Lead, Song Service
CL5 – DirectorLondon, Manchester, Edinburgh
Accenture Song is the world’s largest tech‑powered creative group. The AI Delivery Tech Lead will be accountable for Song’s most complex agentic programmes, shaping and delivering transformational customer platform solutions and driving commercial growth.
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. LangGraph, LangChain, CrewAI, AutoGen, Agentforce)
- Foundation model providers (e.g. Claude, OpenAI, Gemini, AWS Bedrock)
- Retrieval and data approaches such as vector databases (e.g. Pinecone, Weaviate, LlamaIndex, 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, PolyAI, 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
- 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. We do not require applicants to disclose sealed or expunged records of conviction or arrest. Accenture is committed to providing veteran employment opportunities to our service men and women. 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.
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