AI Consultant/ Solution Architect

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aionEnterprise AI
London, England, United KingdomContractSenior
Salary not disclosed
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Job Details

Experience
5+ years
Required Skills
AWSDockerGCPKubernetesAzureGenerative AI

Requirements

  • 5+ years of experience in Solutions Architecture, Technical Consulting, Enterprise Architecture, or Software Engineering.
  • Experience designing and delivering enterprise software, cloud, or AI solutions for customers.
  • Strong understanding of Large Language Models, Generative AI, Retrieval-Augmented Generation (RAG), AI agents, and enterprise AI architectures.
  • Experience with cloud platforms including AWS, Azure, or Google Cloud Platform.
  • Understanding of APIs, microservices, distributed systems, and enterprise integration patterns.
  • Experience designing secure, scalable, and highly available enterprise solutions.
  • Familiarity with Kubernetes, Docker, cloud-native technologies, and modern application architectures.
  • Ability to communicate complex technical concepts to both technical and non-technical stakeholders.
  • Experience working with cross-functional teams across engineering, product, sales, and customer success.
  • Strong presentation, documentation, and stakeholder management skills.

Responsibilities

  • Partner with enterprise customers to understand business challenges, workflows, and AI transformation goals.
  • Conduct discovery workshops, technical assessments, and solution design sessions to identify high-impact AI opportunities.
  • Design end-to-end AI solution architectures, including infrastructure, data flows, APIs, security, and deployment strategies.
  • Lead technical solution delivery from proof of concept through production deployment.
  • Work alongside customers during implementation, ensuring successful integration with existing enterprise systems.
  • Partner with Product, Engineering, and Sales teams to provide customer feedback and influence the product roadmap.
  • Develop reusable architecture patterns, reference implementations, and best practices for enterprise AI deployments.
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