Lead AI Solution Architect – Customer

Salary: £50,000 - 75,000 per year

Requirements:

• Experience delivering generative AI and large language model (LLM)-based solutions into production, including operating, monitoring and evolving AI systems at scale.
• Experience applying AI to customer growth, personalisation, marketing, commerce, sales or service challenges, with an understanding of how AI can create measurable business and customer value.
• Deep understanding of machine learning, LLMs, retrieval-augmented generation (RAG), agentic systems and enterprise-scale AI architecture patterns.
• Strong understanding of software engineering, data architecture and cloud platforms such as Azure, AWS or GCP, with experience delivering scalable, production-grade solutions.
• Experience integrating enterprise data into AI solutions, including data modelling, ingestion pipelines, governance, security and data quality.
• Proven experience leading multidisciplinary teams of engineers, data scientists and AI specialists, with accountability for architectural decisions and delivery outcomes.
• Strong consulting and stakeholder management skills, including the ability to communicate with technical teams and senior business stakeholders and engage in commercial conversations.
• Experience designing trustworthy, secure and compliant AI solutions, with knowledge of Responsible AI, privacy, governance and regulatory requirements.
• Experience coaching and developing engineers, data scientists or architects to strengthen their technical capability and delivery excellence.

Responsibilities:

• Design end-to-end architectures for AI, generative AI and advanced analytics solutions across customer lifecycle areas including marketing, commerce, product, sales and customer service.
• Define technical architectures for customer-focused AI solutions that are scalable, secure, resilient and aligned with 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 architectural decisions on technology selection, integration patterns, build-versus-buy approaches, security, governance, performance and operational support.
• Lead multidisciplinary delivery teams, providing technical direction from initial concept through 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 our AI & Modelling Craft, and coach engineers, data scientists and architects.
• Build trusted relationships with client stakeholders, lead architectural discussions and communicate complex technical concepts to technical and non-technical audiences.
• Support business development by shaping solution approaches, proposals, estimates and technical roadmaps for customer-focused AI opportunities.
• Translate technical concepts into business outcomes, helping customer experience, marketing and service leaders understand how AI can improve satisfaction, increase revenue, reduce cost to serve and deliver measurable value.

Technologies:

• Agentic AI
• AI
• AWS
• Azure
• Cloud
• CMS
• CRM
• GCP
• Support
• LLM
• Machine Learning
• Marketing
• RAG
• Security
• Architect

More:

We are Accenture Song, where we help clients accelerate growth and value through customer relevance, combining capabilities in strategy, design, technology, marketing and customer experience. Our Song AI & Data practice helps organisations unlock value from data, analytics and AI to create more relevant, personalised and effective customer experiences. You will join our UK AI & Modelling Craft, a community of data scientists, AI engineers, modellers and solution architects delivering AI products across their full lifecycle. This is a full-time Manager-level role based in London, Birmingham, Manchester or Newcastle. We offer a competitive basic salary, annual performance bonus, equity opportunities, 30 days of annual leave plus three volunteering days, flexible and family-friendly policies, a pension plan, private healthcare, mental wellbeing support, an Employee Assistance Programme, career development and counselling, and parental leave options. We are committed to equal employment opportunity and value diversity as a source of innovation and better service to our clients and communities.

last updated 39 week of 2026