At a Glance
- Tasks: Lead the delivery of AI systems and transform customer experiences at scale.
- Company: Join Accenture, a global leader in tech-powered creative solutions.
- Benefits: Enjoy competitive salary, bonuses, flexible work, and extensive benefits.
- Other info: Collaborative environment with opportunities for growth and innovation.
- Why this job: Shape the future of AI and customer service while making a real impact.
- Qualifications: Proven experience in AI systems, Python, and leading engineering teams.
The predicted salary is between 80000 - 100000 £ per year.
Overview
AI Delivery Tech Lead, Song Service L7 – London, Manchester, Edinburgh.
Accenture Song is a global tech-powered creative group focused on customer experience.
The AI Delivery Tech Lead will deliver AI systems at enterprise scale, shaping transformational customer platform solutions and taking agentic products from prototype to production.
- What you’ll do
- Architect and build agentic experiences to production.
- Contribute hands-on CCaa S/AI design and build to deliver customer experience and contact platforms at scale.
- Lead and innovate in CCaa S and AI to create connected, always-on service models.
- Transform customer journeys and service interactions using data, CCaa S platforms and AI for seamless experiences.
- Build and lead delivery of RAG pipelines, multi-agent orchestration and evaluation frameworks for enterprise-scale AI deployments.
- Be a trusted technical advisor to clients; advise on AI architecture decisions, platform selection and build vs buy trade-offs.
- Define technical delivery approaches and infrastructure strategies; engage 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; lead engineering teams across complex, multi-system programs.
- Set technical standards, quality frameworks and architecture governance; ensure scalability, observability and compliance.
- Collaborate with Forward Deployed Engineers, Experience Designers and Strategy leads; mentor engineers and grow capability within the practice.
- Support sales, propositions and go-to-market activities; contribute to thought leadership on production AI engineering and agentic delivery.
Experience Required
- Significant hands-on engineering experience with a track record of building and running AI systems at enterprise production scale; production AI shipping is essential.
- 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.
- Portfolio or track record of production-deployed AI systems in regulated or enterprise environments.
- Proven ability to lead engineering teams in agile, client-facing delivery contexts; strong AI/tech awareness.
- Experience with agentic frameworks (e. g., Lang Graph, Lang Chain, Crew AI, Agentforce or similar), foundation model providers (Claude, Open AI, Gemini, etc.), vector databases (Pinecone, Weaviate, Llama Index, pgvector), and cloud platforms (AWS Bedrock, GCP Vertex AI, Azure AI Studio).
- CI/CD for AI including prompts, testing and deployment pipelines; knowledge of EU AI Act compliance, bias auditing and model drift detection.
- Leadership and consulting skills: strong technical leadership, capable of communicating complex topics to senior stakeholders; experience with architecture trade-offs under delivery pressure.
- Understanding of commercial models and technical delivery economics in professional services; experience in Telco or Financial Services is a plus.
- Certifications in AWS, GCP, Azure or Anthropic AI platforms; open-source contributions to agentic/LLM tooling; contact centre platform experience (Genesys, Sierra, Decagon, Parloa, Poly AI, NICE Cognigy, Agentforce, Amazon Connect); EU AI Act or AI governance certifications.
- What’s in it for you
Our Total Rewards include a competitive salary, annual performance bonus, potential equity, and a broad benefits package (health and wellbeing, generous leave, family-friendly policies, pension, private healthcare, mental wellbeing support, EAP, career development, and parental leave offerings).
Flexible work policies and some onsite time are expected to collaborate with clients, peers, leaders and communities.
Accenture is an equal opportunities employer and does not discriminate.
About Accenture
Accenture is a leading global professional services company helping clients reinvent and build trusted, lasting relationships.
We value diversity and inclusion and offer opportunities to learn and grow.
Explore your next step at Accenture Belong.
Grow.
Thrive.
Note
This description excludes page-load artifacts and ATS metadata. All content reflects the role and responsibilities as described above.
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Contact Details:
3003 Accenture (UK) Limited Company Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Delivery Tech Lead, Song Service in London
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We think you need these skills to ace AI Delivery Tech Lead, Song Service in London
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How to prepare for a job interview at 3003 Accenture (UK) Limited Company
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
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