At a Glance
- Tasks: Lead AI delivery projects and create innovative customer experiences at scale.
- Company: Join Accenture Song, the world's largest tech-powered creative group.
- Benefits: Enjoy competitive salary, flexible work policies, and generous leave options.
- Other info: Collaborative environment with excellent career growth and learning opportunities.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: Proven experience in building enterprise-scale AI systems and strong engineering skills.
The predicted salary is between 80000 - 100000 £ per year.
- AI Delivery Tech Lead, Song Service
- 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 pivotal role in delivering AI systems at enterprise scale; shaping and delivering 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.
- What you’ll do
- Architect and build agentic experiences to production
- Work in a technical capacity contributing through hands‑on CCaa S/AI design and build to deliver customer experience and contact platforms at scale
- Be at the forefront of CCaa S and AI innovation, helping clients build connected, always‑on service models for their customers
- Transform customer journeys and service interactions using data, CCaa S 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
Experience Required
Significant hands‑on engineering experience with a proven track record of building and running AI systems at enterprise production scale.
The most important thing for us is that you have shipped production AI, not prototypes.
We need people who understand what breaks, what scales, and what it takes to keep an AI system compliant and running in a regulated environment.
- 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: Lang Graph, Lang Chain, Crew AI, Agentforce or similar
- Foundation model providers: Claude, Code/Codex, Gemini, Open AI or AWS Bedrock
- Vector databases: Pinecone, Weaviate, Llama Index 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, Poly AI, 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
- Competitive basic salary, annual performance bonus, opportunities to acquire equity and a wide range of health and wellbeing benefits
- 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.
- Locations
- London
- 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.
About Accenture
We work with one shared purpose: to deliver on the promise of technology and human ingenuity.
Every day, more than 775,000 of us help our stakeholders continuously reinvent.
Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.
We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment.
We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.
At Accenture, we see well‑being holistically, supporting our people’s physical, mental, and financial health.
We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences.
We’re proud to be consistently recognized as one of the World’s Best Workplaces™.
- Join Accenture to work at the heart of change. Visit us at
- #J-18808-Ljbffr
AI Delivery Tech Lead, Song Service in London employer: WeAreTechWomen
At Accenture, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London office provides unparalleled opportunities for professional growth, with access to cutting-edge AI technologies and the chance to work alongside industry leaders. We are committed to your development, ensuring you have the resources and support needed to thrive in your role as a Senior Manager/Associate Director in AI architecture.
StudySmarter Expert Advice🤫
We think this is how you could land AI Delivery Tech Lead, Song Service in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at WeAreTechWomen or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
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✨Tap into Online Developer Communities
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We think you need these skills to ace AI Delivery Tech Lead, Song Service in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at WeAreTechWomen.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at WeAreTechWomen and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at WeAreTechWomen
✨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.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If WeAreTechWomen uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
