Application Architect

Application Architect L1 (AI/ML & Agentic AI Platforms)

Skill Group: GCP AI/ML – Vertex AI

Location: Manchester, UK (2 Days Onsite)

Employment Type: Long-Term Contract

Role Overview

We are seeking an experienced Application Architect L1 with strong expertise in Google Cloud AI/ML technologies , Agentic AI systems , and modern cloud-native architecture. The ideal candidate will design and deliver scalable AI-powered enterprise solutions using Google Gemini on Vertex AI , orchestration frameworks, and knowledge-driven architectures.

This role requires deep technical proficiency in Python , Google Cloud Platform (GCP) , containerized deployments, and semantic data modeling, along with experience building intelligent systems powered by LLMs, RAG pipelines, and autonomous agents.

The position is based in Manchester, UK , with a hybrid working model requiring 2 days onsite per week .

Key Responsibilities

• Design and architect enterprise-grade AI/ML solutions on Google Cloud Platform (GCP) .
• Develop AI applications using Google Gemini models via Vertex AI .
• Build intelligent agent workflows using Google Agent Development Kit (ADK) .
• Architect and deploy scalable microservices using Python and FastAPI .
• Implement cloud-native deployments using Docker and Google Kubernetes Engine (GKE) .
• Design and manage Knowledge Graphs , RDF/property graph structures, and semantic models.
• Build Retrieval-Augmented Generation (RAG) pipelines integrating enterprise knowledge sources and vector search.
• Collaborate with engineering, product, and business teams to define scalable AI architectures.
• Optimize application performance, scalability, security, and reliability.
• Evaluate and improve LLM outputs using frameworks such as ARES , Ragas , and DeepEval .
• Provide architectural guidance, technical leadership, and best practices to development teams.

Required Skills

• Strong hands-on experience with:
• Google Gemini (Vertex AI)
• Google Agent Development Kit (ADK)
• Python
• Google Cloud Platform (GCP)
• Google Kubernetes Engine (GKE)
• Docker
• Knowledge Graphs
• RDF / Property Graphs
• Semantic Modelling
• Experience designing scalable cloud-native and distributed systems.
• Strong understanding of AI/ML solution architecture and LLM integration patterns.
• Experience with API-driven and microservices-based architectures.
• Excellent communication and stakeholder management skills.