GenAI Solutions Architect for Customer Growth

Accenture PLC; Greater London; On-site; GBP 90,000 - 120,000; Full time

Benefits offered by this job

25 days annual leave

Private healthcare insurance

Pension plan

Employee Assistance Programme

Job summary

Accenture Song in London/UK leads AI-powered customer initiatives, delivering GenAI and advanced analytics across marketing, commerce and service. You will design and deliver data-driven AI solutions, guiding engineers and data scientists from concept to live service, with a focus on scalable, secure architectures.

The role emphasizes collaboration with product owners and stakeholders to translate business needs into production AI products, while ensuring responsible AI, governance and

Qualifications

• Production GenAI experience in live environments.
• Experience applying AI to customer growth, personalisation, marketing, commerce, sales or service challenges.
• Strong understanding of machine learning, LLMs, retrieval augmented generation and enterprise-scale patterns.
• Solid software engineering, data architecture and cloud platform knowledge (Azure, AWS or GCP).
• Experience integrating enterprise data into AI solutions, including data modelling, ingestion pipelines, governance and data quality.
• Experience providing technical direction to engineers, data scientists or AI specialists within a delivery team.
• Good consulting and stakeholder management skills, able to explain design choices to both technical and business audiences.
• Experience designing AI solutions that are trustworthy, secure and compliant with governance and regulatory requirements.
• Experience mentoring junior engineers or data scientists.

Responsibilities

• Design architectures for AI, generative AI and advanced analytics solutions across the customer lifecycle, spanning marketing, commerce, product, sales and customer service.
• Contribute to the technical architecture for customer-focused AI solutions, taking ownership of defined components or workstreams and ensuring they are scalable, secure, resilient and aligned to business objectives.
• Design and build AI applications and platform components, integrating machine learning, generative AI and agentic AI capabilities with enterprise systems such as CRM, CDP, CMS, DAM and cloud data platforms.
• Contribute to architectural decisions covering technology selection, integration patterns, build-versus-buy approaches, security, governance, performance and operational support, and document the rationale so decisions can be reviewed and reused.
• Provide technical direction to small delivery teams of engineers, data scientists and AI specialists, 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.
• Apply and help improve technical standards and best practices across the AI & Modelling Craft, sharing knowledge and mentoring more junior engineers and data scientists.
• Build effective working relationships with client stakeholders, contributing to architectural discussions and explaining technical concepts to both technical and non-technical audiences.
• Support business development activities by contributing to solution approaches, proposals, estimates and technical roadmaps for customer-focused AI opportunities.

Skills

GenAI production

Customer domain

AI architecture

Cloud foundations

Enterprise data

Technical leadership

Stakeholder management

Responsible AI governance

Mentoring

Job description

Accenture Song in London/UK leads AI-powered customer initiatives, delivering GenAI and advanced analytics across marketing, commerce and service. You will design and deliver data-driven AI solutions, guiding engineers and data scientists from concept to live service, with a focus on scalable, secure architectures.

The role emphasizes collaboration with product owners and stakeholders to translate business needs into production AI products, while ensuring responsible AI, governance and