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AI Architect

United Kingdom, London · Job Posted January 25, 2026
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Job Description

The AI Architect role involves designing and implementing innovative AI solutions that meet client needs. Candidates should have a minimum of 6 years in Solution Architecture, with at least 2 years focused on AI and Generative AI solutions. Strong problem-solving skills and a commitment to continuous learning are essential. Familiarity with AI engineering platforms like Azure AI Foundry and AWS Bedrock is preferred. The position offers opportunities for mentorship and collaboration with cross-functional teams.

Job Responsibility

  • Designing and implementing innovative AI solutions that meet client needs and drive business value
  • Collaborating with cross-functional teams to integrate AI technologies into existing systems and processes
  • Demonstrating modern AI solutions to clients, showcasing their benefits and applications
  • Conducting research and analysis to stay updated on the latest AI trends and technologies
  • Communicating complex AI concepts and solutions to stakeholders in a clear and engaging manner
  • Distilling information about proposed architectures into actionable insights for developers to implement those solutions effectively
  • Creating and managing agents, knowledge graphs and chatbots to enhance user experience and efficiency
  • Leading projects that utilize Retrieval-Augmented Generation (RAG) and GraphRAG techniques
  • Developing and optimizing AI models using machine learning and AI engineering platforms
  • Mentoring and guiding team members to foster a culture of continuous learning and innovation in AI

Requirements

  • Minimum 6 years in Solution Architecture
  • At least 2 years focused on AI and Generative AI solutions
  • Strong understanding of current AI trends and technologies
  • Proven ability to architect and deploy innovative AI solutions under tight deadlines
  • Experience in providing solutions using Retrieval-Augmented Generation (RAG), GraphRAG, knowledge graphs, code agents, deep research agents, and chatbots
  • Familiarity with AI engineering platforms (Azure AI Foundry, AWS Bedrock, GCP Vertex AI) and employee-facing AI platforms (Microsoft Copilot Studio, Google Agentspace, Amazon Q Business)
  • Knowledge of agentic frameworks (Langgraph, Autogen, Agent Development Kit) and machine learning platforms for model training and deployment
  • Strong problem-solving skills
  • Proactive attitude
  • Entrepreneurial mindset
  • Commitment to continuous learning

What we offer

  • Tailored benefits that support physical, emotional, and financial wellbeing
  • Continuous growth and development opportunities
  • Flexible work options
  • Inclusive work environment prioritising mutual respect, accountability, and continuous learning
  • Range of Inclusion Networks (Women’s Business Network, Cultural and Ethnicity Network, LGBTQ+ & Allies Network, Neurodiversity Network, Parent Network)

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