Lead AI Solution Architect – Customer

Job Role: Lead AI Solution Architect (Customer)

Team: Song AI & Data – AI & Modelling Craft, UK&I

Location: London / Manchester

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.

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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.

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What We Are Looking For

• Production GenAI experience. Experience delivering GenAI 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.

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