At a Glance
- Tasks: Lead AI delivery projects and shape transformational customer solutions.
- Company: Join Accenture Song, the world's largest tech-powered creative group.
- Benefits: Enjoy 30 days of leave, flexible work policies, and private healthcare.
- Other info: Dynamic environment with opportunities for career development and learning.
- Why this job: Make a real impact in AI engineering and drive commercial growth.
- Qualifications: Extensive experience in AI delivery and strong leadership skills required.
The predicted salary is between 80000 - 100000 £ per year.
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.
AI Delivery Tech Lead in London employer: Accenture
Accenture is an exceptional employer, offering a dynamic work culture in London that fosters innovation and collaboration. With competitive benefits like 30 days of vacation, access to fitness classes, and private medical insurance, employees are supported in achieving a healthy work-life balance while also having ample opportunities for professional growth and development within the rapidly evolving field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land AI Delivery Tech Lead 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 Accenture 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
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Accenture.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Accenture.
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Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Accenture that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Delivery Tech Lead 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 Accenture.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Accenture 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 Accenture
✨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 Accenture 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.
