At a Glance
- Tasks: Lead the design and delivery of innovative AI solutions for customer growth.
- Company: Join Accenture Song, a leader in AI and data-driven customer experiences.
- Benefits: Enjoy competitive salary, flexible work policies, and generous leave options.
- Other info: Collaborate with diverse teams and grow your career in a dynamic environment.
- Why this job: Make a real impact by applying AI to solve customer challenges.
- Qualifications: Experience in GenAI, customer-focused AI solutions, and technical leadership.
The predicted salary is between 81000 - 99000 £ per year.
- Job Role: Lead AI Solution Architect (Customer)
- Team: Song AI & Data – AI & Modelling Craft, UK&I
- Career Level: Manager (L7)
- We Are
Accenture Song accelerates growth and value for our clients through sustained customer relevance.
Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration.
With strong client relationships and deep industry expertise, we help our clients operate efficiently and sustainably through the unlimited potential of imagination, technology and intelligence.
- Visit us at: https://www. accenture. com/gb-en/about/accenture-song-index
- The Team
Within Accenture Song sits AI & Data, the practice that builds the data-led intelligence behind the customer work.
Song AI & Data helps organisations unlock value from data, analytics and AI by creating more relevant, personalised and effective customer experiences.
Our expertise spans customer insight, data strategy and platforms, advanced analytics, performance optimisation, and AI (including generative AI and agentic AI) transformation.
You will join the Song AI & Data UK practice, within the AI & Modelling
Craft: a community of data scientists, AI engineers, modellers and solution architects focused on applying AI, machine learning and advanced analytics to solve customer and growth challenges.
Our teams work across the full lifecycle, from identifying opportunities and designing solutions through to building, deploying and operating AI products that deliver measurable business value.
The Role
As a Lead AI Solution Architect, you will own the end-to-end delivery of customer-focused data and AI solutions, spanning machine learning products, generative AI solutions and agentic AI systems.
You will define the target architecture, provide technical leadership to the teams that build it, and see solutions through to live service and continuous improvement.
This could include designing an AI-powered customer service capability that reduces handling times and improves resolution rates, building a personalisation engine that recommends the next best action for customers across digital channels, or creating an agentic marketing solution that automates campaign planning, execution and optimisation.
As the technical lead, you will guide multidisciplinary delivery teams, make key technology and design decisions, manage technical risks, and ensure the solution is secure, scalable and aligned to client objectives.
You will work closely with product owners, designers, engineers and business stakeholders to turn ideas into production-ready solutions.
You’ll also be expected to translate technical concepts into business outcomes.
Working with customer experience, marketing and service leaders, you’ll help them understand how AI solutions can improve customer satisfaction, increase revenue, reduce cost to serve and deliver measurable business value.
What makes this role unique is the opportunity to apply AI directly to customer growth, marketing, commerce and service challenges, helping some of the world's leading organisations create more relevant and valuable customer experiences.
What You Will Do
- Design end-to-end architectures for AI, generative AI and advanced analytics solutions across the customer lifecycle, spanning marketing, commerce, product, sales and customer service.
- Define the technical architecture for customer-focused AI solutions, ensuring they are scalable, secure, resilient and aligned to business objectives.
- Lead the design of AI platforms and applications, integrating machine learning, generative AI and agentic AI capabilities with enterprise systems such as CRM, CDP, CMS, DAM and cloud data platforms.
- Make key architectural decisions covering technology selection, integration patterns, build-versus-buy approaches, security, governance, performance and operational support.
- Lead multidisciplinary delivery teams of engineers, data scientists and AI specialists, providing technical direction from initial concept through to production deployment and optimisation.
- Design solutions that meet responsible AI, security, privacy and regulatory requirements, including appropriate evaluation, monitoring and governance controls.
- Establish technical standards and best practices across the AI & Modelling Craft, coaching engineers, data scientists and architects to develop their capability.
- Build trusted relationships with client stakeholders, leading architectural discussions and communicating complex technical concepts to both technical and non-technical audiences.
- Support business development activities by shaping solution approaches, proposals, estimates and technical roadmaps for customer-focused AI opportunities.
- 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.
- SNGCR01
- What We Are Looking For
- Production Gen AI experience.
Experience delivering Gen AI and LLM-based solutions into production environments.
You understand the realities of operating, monitoring and evolving AI systems at scale.
- Customer domain expertise.
Experience applying AI to customer growth, personalisation, marketing, commerce, sales or service challenges.
You can engage confidently in discussions about customer and business challenges and understand how AI creates measurable value for both customers and organisations.
- Modern AI architecture expertise.
Deep understanding of machine learning, LLMs, retrieval-augmented generation (RAG), agentic systems and the architectural patterns used to deploy AI solutions at enterprise scale.
- Engineering and cloud foundations.
Strong understanding of software engineering, data architecture and cloud platforms (Azure, AWS or GCP), with experience delivering scalable, production-grade solutions.
- Enterprise data expertise.
Experience integrating enterprise data into AI solutions, including data modelling, ingestion pipelines, governance, security and data quality considerations.
- Technical leadership.
Proven experience leading multidisciplinary teams of engineers, data scientists and AI specialists, taking accountability for architectural decisions and delivery outcomes.
- Consulting and stakeholder management.
Strong consulting and stakeholder management skills.
You can move comfortably between architecture discussions and commercial conversations, communicating effectively with technical teams and senior business stakeholders.
- Responsible AI, governance and security.
Experience designing AI solutions that are trustworthy, secure and compliant, with an understanding of Responsible AI, privacy, governance and regulatory requirements.
- People leadership. Experience coaching and developing engineers, data scientists or architects, helping teams grow their technical capability and delivery excellence.
- #J-18808-Ljbffr
Lead AI Solution Architect – Customer employer: Accenture UK & Ireland
As an AI Transformation & Process Excellence Senior Manager, you will thrive in a dynamic work culture that prioritises innovation and collaboration. Our commitment to employee growth is evident through tailored coaching and development opportunities, ensuring you can lead your team effectively while embedding cutting-edge AI methodologies into client solutions. Located in a vibrant area, we offer unique advantages such as access to industry-leading technology partners and a supportive environment that fosters meaningful contributions to transformative projects.
Contact Details:
Accenture UK & Ireland Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Solution Architect – Customer
✨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 UK & Ireland 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 UK & Ireland.
✨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 UK & Ireland.
✨Explore Job Boards Specifically for Tech Roles
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 UK & Ireland 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 Lead AI Solution Architect – Customer
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 UK & Ireland.
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 UK & Ireland 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 UK & Ireland
✨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 UK & Ireland 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.
