AI Solutions Architect — GCP Data & LLM Orchestration

Test Triangle Ltd; City of Edinburgh; On-site; GBP 90,000 - 130,000; Full time

Job summary

Test Triangle Ltd in Edinburgh, United Kingdom, is seeking a Data/AI Solutions Architect to design scalable, secure data and AI systems, and to lead strategic initiatives including Machine Learning, LLMOps, RAG, and Google Cloud Platform cloud migration.

You will bridge business needs with technical execution, manage stakeholder expectations, and craft cloud-native architectures with a focus on data governance, security, and ethical AI standards.

Qualifications

• Proven experience with major cloud platforms (GCP/Azure).
• Deep understanding of modern data architecture, ML/AI tools, and data migrations.
• Ability to design orchestrations for agentic AI, LLM-based systems, RAG, and workflow orchestration.

Responsibilities

• Strategy & Design: Define end-to-end architectures for AI, ML, data, and agentic AI solutions on cloud platforms.
• Technical Leadership: Deliver secure, scalable solutions using cloud-native services and microservice patterns.
• Cloud, Platform & Integration: Apply strong understanding of Kubernetes, service mesh, ingress, and network/security boundaries.
• Design Patterns: Implement API and service integration patterns; manage AuthN/AuthZ and security policies.
• Governance & Compliance: Ensure solutions meet regulatory and security standards.
• Collaboration: Align with engineering, data science, and business teams to translate requirements into designs.

Skills

Cloud Expertise

Data & AI Knowledge

Architecture & Stakeholder Leadership

Communication Skills

Job description

Test Triangle Ltd in Edinburgh, United Kingdom, is seeking a Data/AI Solutions Architect to design scalable, secure data and AI systems, and to lead strategic initiatives including Machine Learning, LLMOps, RAG, and Google Cloud Platform cloud migration.

You will bridge business needs with technical execution, manage stakeholder expectations, and craft cloud-native architectures with a focus on data governance, security, and ethical AI standards.