AI Platform Architect

VIQU IT Recruitment; Greater London; Hybrid; GBP 120,000 - 160,000; Full time

Job summary

VIQU IT Recruitment is partnering with a leading financial services organisation to hire an AI Platform Architect. The role focuses on shaping an enterprise AI platform across Azure and AWS, designing scalable, secure, and cost-conscious capabilities for ML, GenAI, and production-ready AI solutions.

You will own end-to-end platform architecture, define GenAI architectures, and drive security, governance, and cost optimisation across cloud environments, collaborating with implementation teams and

Qualifications

• Experience architecting enterprise AI/ML platforms across Azure and AWS.
• Strong knowledge of MLOps, deployment, orchestration, and monitoring.
• Experience designing GenAI solutions using LLMs, RAG, vector databases, and guardrails.
• Knowledge of AI/ML tools such as Azure ML, SageMaker, MLflow, Kubeflow, or Databricks.
• Strong cloud architecture, integration, IAM, and security knowledge.
• Experience producing architectural blueprints and technical design documentation.
• Understanding of responsible AI, data protection, and AI governance.
• Strong stakeholder management skills, ideally within financial services or another regulated environment.

Responsibilities

• Own the end-to-end AI platform architecture across Azure and AWS
• Design platform capabilities for machine learning, MLOps, model hosting, and AI monitoring
• Define GenAI architectures covering LLMs, RAG, vector databases, and AI orchestration
• Evaluate AI tools and technologies, making recommendations based on security, performance, and cost
• Produce architectural blueprints, technical standards, and reference architectures
• Define secure integration patterns across cloud platforms and enterprise systems
• Guide implementation teams and oversee technical solution design
• Embed security, responsible AI, governance, and cost optimisation into platform architecture

Skills

Azure & AWS

MLOps

GenAI

LLMs

Vector databases

Security & IAM

Architectural blueprints

Tools

Azure ML

SageMaker

MLflow

Kubeflow

Databricks

Job description

London or Horsham - Hybrid (3DPW in office)

VIQU are partnering with a leading financial services organisation seeking an AI Platform Architect to shape its enterprise AI platform across Azure and AWS. This role will focus on designing scalable, secure, and cost-effective AI capabilities, supporting machine learning, Generative AI, and production-ready AI solutions across the business.

Key Responsibilities of the AI Platform Architect:

• Own the end-to-end AI platform architecture across Azure and AWS
• Design platform capabilities for machine learning, MLOps, model hosting, and AI monitoring
• Define GenAI architectures covering LLMs, RAG, vector databases, and AI orchestration
• Evaluate AI tools and technologies, making recommendations based on security, performance, and cost
• Produce architectural blueprints, technical standards, and reference architectures
• Define secure integration patterns across cloud platforms and enterprise systems
• Guide implementation teams and oversee technical solution design
• Embed security, responsible AI, governance, and cost optimisation into platform architecture

Key Experience Required of the AI Platform Architect:

• Proven experience architecting enterprise AI/ML platforms across Azure and AWS
• Strong understanding of MLOps, model deployment, orchestration, and monitoring
• Experience designing GenAI solutions using LLMs, RAG, vector databases, and guardrails
• Knowledge of AI/ML tools such as Azure ML, SageMaker, MLflow, Kubeflow, or Databricks
• Strong cloud architecture, integration, IAM, and security knowledge
• Experience producing architectural blueprints and technical design documentation
• Understanding of responsible AI, data protection, and AI governance
• Strong stakeholder management skills, ideally within financial services or another regulated environment