AI Solution Architect – Customer (CL8) at Accenture | GB | Rezi

AI Solution Architect – Customer (CL8) at Accenture

AI Solution Architect – Customer (CL8)

Accenture · GB

1 weeks ago

AI Solution Architect – Customer (CL8)

Accenture · GB

11 days ago
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About the Role

As an AI Solution Architect, you will design and deliver customer-focused data and AI solutions, including machine learning products, generative AI solutions, and agentic AI systems. You will shape target architectures, own workstreams, and provide technical direction to engineering teams. This role offers the unique opportunity to apply AI directly to customer growth, marketing, commerce, and service challenges for leading organizations.

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.

Requirements

  • Production GenAI experience.
  • Experience delivering GenAI and LLM-based solutions into production environments, with an understanding of what it takes to operate, monitor and evolve AI systems once they are live.
  • Customer domain experience. Experience applying AI to customer growth, personalisation, marketing, commerce, sales or service challenges.
  • Good understanding of machine learning, LLMs, retrieval-augmented generation (RAG), agentic systems and the architectural patterns used to deploy AI solutions at enterprise scale.
  • Solid understanding of software engineering, data architecture and cloud platforms (Azure, AWS or GCP), with hands-on experience delivering scalable, production-grade solutions.
  • Experience integrating enterprise data into AI solutions, including data modelling, ingestion pipelines, governance, security and data quality considerations.
  • Experience providing technical direction to engineers, data scientists or AI specialists within a delivery team, and taking ownership of design decisions and delivery outcomes for your area of the solution.
  • Good consulting and stakeholder management skills.
  • Experience designing AI solutions that are trustworthy, secure and compliant, with an understanding of Responsible AI, privacy, governance and regulatory requirements.
  • Experience supporting and mentoring more junior engineers or data scientists, and a willingness to share knowledge and help the team improve.

Skills

  • GenAI
  • LLM
  • AI architecture
  • Cloud platforms (Azure, AWS or GCP)
  • Software engineering
  • Data architecture
  • Machine learning
  • Retrieval-augmented generation (RAG)
  • Agentic systems
  • Enterprise data integration
  • Technical leadership
  • Stakeholder management
  • Responsible AI
  • Security
  • Privacy
  • Governance

Location

  • London
  • Manchester

Work Type

  • Full-time

Experience Level

  • Associate Manager (L8)

Benefits

  • Competitive basic salary
  • Annual performance bonus
  • Opportunities to acquire equity
  • 25 days of leave per year
  • 3 extra volunteering days per year
  • Family-friendly and flexible work policies
  • Attractive pension plan with financial wellbeing support and resources
  • Private healthcare insurance plan
  • Mental Wellbeing support
  • Employee Assistance Programme
  • Career Development and Counselling
  • Generous Parental Leave offerings

About the Company

  • Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale.
  • We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries.
  • Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships.
  • We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability.
  • Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships.
  • We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Equal Opportunity

  • We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law.
  • Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.