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# AI Solution Architecture

- **Company:** Insight
- **Location:** Edinburgh, UK
- **Salary:** £84,176.0
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Big Data, BigQuery, Cloud Computing, Data Architecture, Extract Transform Load (ETL), Machine Learning, Service-Oriented Architecture, Service Design, Systems Integration, Google Cloud, Istio, Retrieval-Augmented Generation, Multi-Agent Systems, Multi-Cloud, Apigee, Agentic-AI, Kubernetes, Enterprise Integration, Machine Learning Operations, Cloud Migration
- **Published:** October 9, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5919544333

## About the Role

Strong expertise in GCP (and/or Azure) and cloud-native service architecture.

 - Deep knowledge of data architectures, Machine Learning, and AI tools.
 - Experience with large-scale data migrations and modern ETL/data movement patterns.
 - Proven ability to lead architectural design and stakeholder discussions.
 - Excellent communication skills for technical forums and governance.

Beneficial Experience:

 - Background in banking or financial industry.
 - Experience with Vertex AI or similar model lifecycle tools.
 - Familiarity with LangChain/LangGraph, RAG patterns, and AI orchestration.
 - Exposure to multi-cloud/hybrid environments and enterprise integration/event architecture.

## Description

Architect Data & AI Solutions: Design scalable, secure, and resilient architectures for AI, ML, data, and agentic AI solutions on Google Cloud Platform (GCP).

 - Drive Strategic Initiatives: Lead efforts in Machine Learning, LLMOps, RAG, and cloud migration projects.
 - Technical Leadership: Deliver high-quality, cloud-native solutions using GCP services (BigQuery, Cloud Run, GKE, Vertex AI, etc.) and event-driven patterns.
 - Cloud & Platform Integration: Utilize Kubernetes, service mesh, workload identity, and network/security boundaries for robust integration.
 - API & Service Design: Implement modern microservice, API, and service integration patterns using tools like Istio and Apigee.
 - Governance & Compliance: Ensure architectures adhere to regulatory, risk management, security, and ethical AI standards.
 - Stakeholder Collaboration: Work closely with engineering, data science, and business teams to translate requirements into actionable designs.
 - Technical Communication: Represent technical direction in forums, communicate complex concepts, and participate in architectural governance.
 - Continuous Improvement: Maintain up-to-date, iterative designs aligned with modern engineering and technology standards.