AI Solutions Architect - Generative AI / LLM / Automation

Tria; England; Hybrid; GBP 80,000 - 90,000; Full time

Job summary

Tria is seeking an AI Solutions Architect to own the architecture and design assurance of cutting-edge AI and automation solutions. You will define standards, oversee evaluation and security, and partner with engineering teams and senior stakeholders to ensure robust, scalable AI deployments.

The role focuses on Generative AI, LLM and agentic AI design, with hybrid work in Hertfordshire and a competitive salary of £80,000–£90,000 plus benefits.

Qualifications

• Strong Solutions Architecture experience across cloud, integration and APIs.
• Proven experience designing Generative AI, LLM and agentic AI solutions.
• Knowledge of MCP, AI agent frameworks and tool integration.
• Experience with AI governance, security and evaluation.
• Excellent stakeholder engagement and technical leadership skills.

Responsibilities

• Own the architecture and design assurance of AI and automation solutions.
• Define AI architecture standards, integration patterns and frameworks.
• Oversee AI evaluation, monitoring, security and compliance.
• Collaborate with technology partners, engineering teams and senior stakeholders.

Skills

Solutions Architecture

Cloud

API integration

AI governance

Stakeholder engagement

Technical leadership

Tools

AI frameworks

Job description

AI Solutions Architect - Generative AI / LLM / Automation

£80,000 - £90,000 + Benefits

Hertfordshire - Hybrid (2-3 days onsite)

What you’ll be responsible for:

• Own the architecture and design assurance of AI and automation solutions
• Define AI architecture standards, integration patterns and frameworks
• Oversee AI evaluation, monitoring, security and compliance
• Collaborate with technology partners, engineering teams and senior stakeholders

What we’re looking for:

• Strong Solutions Architecture experience across cloud, integration and APIs
• Proven experience designing Generative AI, LLM and agentic AI solutions
• Knowledge of MCP, AI agent frameworks and tool integration
• Experience with AI governance, security and evaluation
• Excellent stakeholder engagement and technical leadership skills