3 days ago
London, United KingdomStaff+
Responsibilities
- Design architectures for AI, generative AI, and advanced analytics solutions across marketing, commerce, product, sales, and customer service.
- Own defined solution components or workstreams and contribute to technology, integration, build-versus-buy, security, governance, performance, and operational decisions.
- Design and build AI applications and platform components integrated with CRM, CDP, CMS, DAM, and cloud data platforms.
- Provide technical direction to delivery teams from initial concept through production deployment and optimisation.
- Design solutions that satisfy responsible AI, security, privacy, regulatory, evaluation, monitoring, and governance requirements.
- Work with client stakeholders and explain technical concepts to technical and non-technical audiences.
- Mentor junior engineers and data scientists and contribute to technical standards and best practices.
- Support business development through solution approaches, proposals, estimates, and technical roadmaps.
Requirements
- Experience delivering GenAI and LLM-based solutions into production and operating, monitoring, and evolving live AI systems.
- Experience applying AI to customer growth, personalisation, marketing, commerce, sales, or service challenges.
- Understanding of machine learning, LLMs, retrieval-augmented generation, agentic systems, and enterprise-scale AI architecture patterns.
- Solid software engineering, data architecture, and cloud-platform knowledge with hands-on experience delivering scalable production solutions.
- Experience with enterprise data integration, data modelling, ingestion pipelines, governance, security, and data quality.
- Experience providing technical direction and owning design and delivery outcomes within engineering, data science, or AI teams.
- Consulting and stakeholder-management skills, including explaining design choices to technical and business audiences.
- Experience designing trustworthy, secure, compliant AI solutions with privacy, governance, responsible AI, and regulatory considerations.
- Experience mentoring junior engineers or data scientists.
Benefits
- 25 days of annual leave plus 3 additional volunteering days.
- Family-friendly and flexible work policies.
- Attractive pension plan with financial wellbeing support.
- Private healthcare insurance and mental wellbeing support.
- Employee Assistance Programme, career development, and counselling.
- Generous parental leave offerings.
- The role is based in London or Manchester, UK.
Tech Stack
Categories
Solutions Engineering
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.