Lead the architecture, governance, and delivery of enterprise AI, machine learning, generative AI, RAG, and agentic systems on GCP. Define solution strategies, architecture standards, security controls, and technical direction while delivering scalable, production-ready platforms. Responsibilities include designing LLM and multi-agent applications, cloud-native AI systems, MLOps and LLMOps processes, enterprise integrations, monitoring, evaluation, and stakeholder collaboration.
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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