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.
Similar Jobs
Fintech • Financial Services
Leads complex treasury management consulting and sales initiatives for payments and liquidity solutions across US, UK, North American, and international markets. Responsibilities include growing client wallet share, coordinating cross-business sales teams, developing go-to-market strategies, advising senior leadership, generating market insights, managing complex client solutions, building industry presence, and mentoring teams while maintaining strong risk and compliance practices.
5 Minutes Ago
Fintech • Financial Services
Leads international legal entity compliance and operational risk program execution across EMEA, APAC, Canada, Latin America, India, and the Philippines. Oversees policies, regulatory change, risk assessments, controls, governance, reporting, monitoring, and issue remediation. Provides credible challenge to business stakeholders, advises executives on emerging risks, manages distributed teams and subject matter experts, drives technology-enabled process improvements, and develops talent and succession pipelines.
Top Skills:
Artificial IntelligenceAutomationData Analytics
Cloud • Software
Build and operate AI-powered developer tools, agentic workflows, backend services, APIs, and integrations with engineering platforms. The role involves applying software engineering practices to AI evaluation, testing, monitoring, and feedback loops; collaborating with developers; evolving platform architecture; and improving engineering processes and documentation.
Top Skills:
Agentic AiAi Coding ToolsAPIsCi/CdCloud DeploymentContainersDistributed SystemsDocument DatabasesEmbeddingsGitGoJavaKotlinKubernetesLarge Language ModelsPythonRelational DatabasesRetrieval-Augmented GenerationTypescriptVector Databases
What you need to know about the Manchester Tech Scene
Home to a £5 billion digital ecosystem, including MediaCity, which consists of major players like the BBC, ITV and Ericsson, Manchester is one of the U.K.'s top digital tech hubs, at the forefront of advancements in film, television and emerging sectors like as e-sports, while also fostering a community of professionals dedicated to pushing creative and technological boundaries.
