> Markdown version of [/jobs/ext/4666243-solution-architect-ai](https://www.wearedevelopers.com/jobs/ext/4666243-solution-architect-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Solution Architect - AI - **Company:** E-Frontiers - **Location:** London, United Kingdom - **Experience:** Experienced - **Salary:** £156,000 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software Safety, Retrieval-Augmented Generation, Large Language Models, Deep Learning, Generative AI, Agentic-AI, Kubernetes, AutoGen, Machine Learning Operations, Databricks - **Published:** November 11, 2026 - **Apply:** https://www.careerboard.com/gb/en/find-jobs-in-United-Kingdom/-78D5D36C5BBFCE3331/ ## About the Role * 10+ years' experience in software, data or technology engineering, including at least 4 years leading AI/ML initiatives within consulting or enterprise environments. * Strong technical expertise in LLMs, Generative AI, RAG, vector databases and agentic frameworks such as LangChain or AutoGen. * Experience deploying AI solutions across AWS, Azure or GCP, with knowledge of MLOps platforms such as MLflow, Kubeflow or Databricks. * Proven commercial experience leading enterprise AI pre-sales, winning RFPs and influencing senior C-suite stakeholders. * Exceptional communication and leadership skills, with the ability to translate complex AI concepts into compelling business value. ## Description * AI Strategy & Architecture: Define and deliver enterprise AI strategies covering Generative AI, LLMs, RAG, Agentic AI and advanced machine learning. * Pre-Sales & Business Growth: Lead technical discovery, shape enterprise proposals and RFP responses, and engage C-suite stakeholders to secure new AI opportunities. * Practice Leadership: Build, develop and mentor high-performing AI engineering and data science teams across UK and offshore locations. * Thought Leadership: Produce technical whitepapers, industry articles and architectural frameworks, representing the organisation at key UK technology events. * Responsible AI & Governance: Establish best practices around AI safety, data privacy, bias mitigation and regulatory compliance, including UK GDPR and DORA.