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Accenture

Advises businesses and runs their technology

Lead AI Solution Architect - Customer

AI & Machine LearningConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Experience delivering generative AI and large language model 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, and understanding how AI creates measurable value for customers and organisations.
  • Deep understanding of machine learning, large language models, retrieval-augmented generation, agentic systems and architectural patterns for deploying AI solutions at enterprise scale.
  • 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, taking accountability for architectural decisions and delivery outcomes.
  • Consulting and stakeholder management skills, including communicating effectively with technical teams and senior business stakeholders across architecture and commercial discussions.
  • Experience designing trustworthy, secure and compliant AI solutions, with an understanding of responsible AI, privacy, governance and regulatory requirements.
  • Experience coaching and developing engineers, data scientists or architects to build technical capability and delivery excellence.

Responsibilities

  • Design end-to-end architectures for AI, generative AI and advanced analytics solutions across the customer lifecycle, including marketing, commerce, product, sales and customer service.
  • Define technical architecture for customer-focused AI solutions to ensure scalability, security, resilience and alignment 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 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 concept through production deployment and optimisation.
  • Design solutions that meet responsible AI, security, privacy and regulatory requirements, including evaluation, monitoring and governance controls.
  • Establish technical standards and best practices across the AI & Modelling Craft, and coach engineers, data scientists and architects.
  • Build 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.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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