Senior Architect – GCP , Gen AI & Agentic Systems

Zohorecruit; West of England; Hybrid; GBP 120,000 - 180,000; Full time

Job summary

Test Triangle in the United Kingdom is seeking a Senior Architect to lead the design and delivery of enterprise-scale AI/ML and Generative AI solutions. You will own the architecture, governance, and technical direction across LLMs, agentic systems, NLP, RAG architectures, and MLOps on Google Cloud Platform (GCP).

The role requires hands-on expertise, stakeholder management, and delivering secure, scalable AI platforms that drive measurable business outcomes.

Qualifications

• Deep expertise in AI/ML solution architecture and governance.
• Experience designing enterprise RAG and Agentic AI solutions.
• Strong MLOps, CI/CD for ML, monitoring, and observability practices.

Responsibilities

• Lead the design and architecture of enterprise-scale AI/ML and Generative AI solutions.
• Define AI solution strategies, architecture standards, and secure scalable systems.
• Collaborate with stakeholders to deliver production-ready AI platforms on GCP.

Skills

AI/ML expertise

NLP

RAG architectures

MLOps

Tools

GCP

BigQuery

Dataflow

Cloud Functions

GKE

Pub/Sub

IAM

Job description

Senior Architect – GCP , Gen AI & Agentic Systems

Contract | Test Triangle | United Kingdom

Job Information

Work Experience 5+ years

Communications

City City of Bristol

State/Province County of Bristol

BS0

Job Description

LOCATION: Onsite (Bristol)

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.