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Senior Architect – GCP , Gen AI & Agentic Systems

Skills

ab testingagentic aiaianalyticsapibigqueryci cdcloudcloud nativeconversational aideep learningdistributed systemsevent driven architecturegcpgenerative aigkeiamllmllmopsmachine learningmicroservicesmlopsmodel deploymentmodel evaluation

Description

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

  • Machine Learning lifecycle management
  • Deep Learning concepts
  • Model evaluation frameworks
  • Experiment design and A/B testing
  • NLP and text analytics

Generative AI

  • Large Language Models (LLMs)
  • Prompt Engineering
  • RAG architectures
  • Vector databases
  • AI Agents and Multi-Agent Systems
  • Copilot and Conversational AI development

Cloud & GCP

  • Vertex AI
  • BigQuery
  • Cloud Storage
  • Dataflow
  • Cloud Functions
  • Cloud Run
  • GKE
  • Pub/Sub
  • IAM and Security Controls

MLOps / LLMOps

  • CI/CD for ML
  • Model Registry
  • Version Control
  • Automated Evaluation
  • Model Deployment
  • Monitoring & Observability
  • Drift Detection
  • Rollback Frameworks

Architecture

  • Enterprise Architecture
  • Solution Architecture
  • Microservices
  • API-driven Integration
  • Distributed Systems
  • Event-driven Architecture

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.
  • Proven experience delivering production-grade AI applications on cloud platforms.
  • Experience designing enterprise RAG and Agentic AI solutions.
  • Strong experience architecting secure and scalable AI platforms.

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