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Accenture

Advises businesses and runs their technology

AI & Data Architect / AI & Data Senior Architect

AI Application EngineeringUpdated on Nov 13
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • Strong hands-on experience with AI/ML, generative AI, or agentic AI solutions.
  • Programming experience with Python, Java, Scala, or TypeScript.
  • Experience with large language models, retrieval-augmented generation, AI agents, model APIs, orchestration, and evaluation.
  • Strong cloud knowledge across AWS, Azure, or Google Cloud Platform.
  • Experience designing APIs, microservices, serverless, or cloud-native architectures.
  • Understanding of modern data platforms, including structured and unstructured data.
  • Experience taking AI solutions into production, considering security, monitoring, guardrails, resilience, and cost.
  • Strong client-facing skills and the ability to shape solutions when requirements may initially be ambiguous.
  • Ability to explain complex technology clearly and work effectively across engineering and business teams.

Responsibilities

  • Work with public sector and adjacent clients on complex UK sovereign transformation programmes.
  • Work with clients from discovery and use-case definition through solution design and production delivery.
  • Shape secure, scalable solutions using AI, generative AI, agentic AI, data, and cloud technologies.
  • Work alongside engineers, architects, and client stakeholders to research, prototype, and deploy emerging technologies at scale.
  • Support continuous learning, technical development, and certification.
  • Design AI, generative AI, and agentic AI solutions, translating complex or ambiguous client challenges into practical technical architectures.
  • Remain close to engineering, supporting solutions from prototype through production.
  • Design modern cloud and data architectures across AWS, Azure, and/or Google Cloud Platform.
  • Make architectural decisions considering security, scalability, performance, responsible AI, and cost.
  • Provide technical leadership to engineers and architects while retaining strong hands-on technical credibility.
  • Lead client discovery sessions and communicate complex solutions clearly to senior technical and non-technical stakeholders.

Desired Qualifications

  • Consulting experience is beneficial but not essential.
  • Production experience with agentic AI, retrieval-augmented generation, or large language model applications.
  • MLOps/LLMOps and AI evaluation experience.
  • Experience with AWS Bedrock, Azure AI/OpenAI, or Google Vertex AI.
  • Experience within secure, regulated, or public-sector environments.
  • Relevant cloud or AI/ML certifications.

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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