Senior Architect – GCP , Gen AI & Agentic Systems

Test Triangle Ltd; West of England; On-site; GBP 120,000 - 150,000; Full time

Job summary

Test Triangle Ltd. seeks a Senior Architect to lead the design, governance, and delivery of enterprise-scale AI/ML and Generative AI solutions. You will define AI strategies, drive technical direction, and establish architecture standards across secure, scalable platforms.

Deep expertise in LLMs, Agentic AI, NLP, and MLOps is required for measurable business impact. The role focuses on building production-ready AI systems with strong emphasis on governance, security, and stakeholder

Qualifications

• 14+ years of overall IT experience.
• 5+ years in AI/ML solution architecture.
• 3+ years in Generative AI and LLM-based solution delivery.
• Experience designing enterprise RAG and Agentic AI solutions.
• Strong experience architecting secure and scalable AI platforms.

Responsibilities

• Lead design, architecture, governance, and delivery of enterprise-scale AI/ML and Generative AI solutions.
• Define AI solution strategies, drive technical direction, establish architecture standards.
• Ensure secure, scalable, and production-ready AI systems that deliver measurable business outcomes.
• Collaborate with stakeholders and lead hands-on implementation of AI ecosystems.

Skills

AI / ML

Experiment design & A/B testing

NLP & text analytics

Prompt Engineering

AI Agents & Multi-Agent Systems

Copilot & Conversational AI

MLOps / LLMOps

CI/CD for ML

Version Control

Automated Evaluation

Monitoring & Observability

Rollback Frameworks

Microservices

API-driven Integration

Distributed Systems

Tools

BigQuery

Dataflow

Cloud Functions

GKE

Pub/Sub

IAM & Security Controls

Job description

Senior Architect – GCP , Gen AI & Agentic Systems

City of Bristol, United Kingdom | Posted on 10/08/2026

Senior Architect – GCP , GenAI & Agentic Systems

LOCATION: Onsite (Bristol)

Job Description

Looking for an experienced Senior Architect to lead the design, architecture, governance, and delivery of enterprise-scale AI/ML and Generative AI solutions. The role requires deep expertise in LLMs, Agentic AI, NLP, RAG architectures, MLOps, and cloud-native AI platforms on Google Cloud Platform (GCP).

The architect will be responsible for defining AI solution strategies, driving technical direction, establishing architecture standards, and ensuring secure, scalable, and production-ready AI systems that deliver measurable business outcomes.

The ideal candidate should possess a blend of technical leadership, solution architecture, stakeholder management, and hands-on expertise in modern AI ecosystems

Mandatory Skills

AI / ML

• Experiment design and A/B testing
  
• NLP and text analytics
  

Generative AI

• Prompt Engineering
  
• AI Agents and Multi-Agent Systems
  
• Copilot and Conversational AI development
  
• BigQuery
  
• Dataflow
  
• Cloud Functions
  
• GKE
  
• Pub/Sub
  
• IAM and Security Controls
  

MLOps / LLMOps

• CI/CD for ML
  
• Version Control
  
• Automated Evaluation
  
• Monitoring & Observability
  
• Rollback Frameworks
  
• Microservices
  
• API-driven Integration
  
• Distributed Systems
  

Required Experience

• 14+ years of overall IT experience.
  
• 5+ years in AI/ML solution architecture.
  
• 3+ years in Generative AI and LLM-based solution delivery.
  
• Experience designing enterprise RAG and Agentic AI solutions.
  
• Strong experience architecting secure and scalable AI platforms.