Senior AI Platform Architect — Multi-Cloud GenAI

idpp; Greater London; Hybrid; GBP 110,000 - 150,000; Full time

Benefits offered by this job

Annual bonus

Pension up to 11%

Hybrid working

25 days leave

Buy/sell leave

Health & wellbeing

Career development

Inclusive culture

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Job summary

idpp is seeking an experienced AI Platform Architect to define and evolve an enterprise-grade AI platform spanning Microsoft Azure and AWS. You will own the platform's architectural vision and roadmap, guiding teams from experimentation through secure production deployment.

The role emphasizes GenAI hosting, MLOps, security and governance, with hybrid working and collaboration across engineering, security, data, and business stakeholders.

Qualifications

• Experience designing enterprise-scale AI/ML platforms across multi-clouds.
• Deep knowledge of training pipelines, orchestration, observability and MLOps.
• Generative AI architecture with LLMs, RAG, vector stores, prompt orchestration.
• Strong multi-cloud, networking, IAM, security and cross-cloud integration.
• Experience with ML tools such as MLflow, Kubeflow, SageMaker, Azure ML, Databricks.
• Knowledge of Responsible AI, data protection and governance incl. GDPR.
• Architecture modelling and technical documentation proficiency.
• Ability to design scalable cost-efficient AI training/inference architectures.
• Leadership experience guiding engineering teams on platform problems.
• Experience in regulated environments (finance/insurance) is advantageous.

Responsibilities

• Own end-to-end architecture of a multi-cloud AI platform across Azure and AWS.
• Define platform capabilities for ML pipelines, feature stores, model hosting, observability, MLOps/AIOps, GenAI orchestration, vector search, RAG and agents.
• Develop scalable GenAI architectures including LLM hosting, fine-tuning and prompt orchestration.
• Evaluate cloud-native, open-source and third-party AI technologies and recommend tooling.
• Design secure integration patterns between cloud platforms and enterprise systems.
• Provide architectural direction to ensure security, governance and scalability.
• Produce architecture blueprints, reference architectures, capability models and runbooks.
• Oversee implementation to align with architectural principles.
• Embed Responsible AI, privacy and regulatory requirements into platform design.
• Drive cost optimisation for compute, storage and AI inference while maintaining resilience.
• Represent AI platform in governance forums; collaborate with data scientists, ML engineers and business stakeholders.
• Provide technical guidance and mentorship to engineering teams.

Skills

AI Platform design

Azure & AWS

Generative AI

Multi-cloud architecture

Technical leadership

Tools

MLflow

Kubeflow

SageMaker

Azure Machine Learning

Databricks

Vector databases

Inference frameworks

Job description

idpp is seeking an experienced AI Platform Architect to define and evolve an enterprise-grade AI platform spanning Microsoft Azure and AWS. You will own the platform's architectural vision and roadmap, guiding teams from experimentation through secure production deployment.

The role emphasizes GenAI hosting, MLOps, security and governance, with hybrid working and collaboration across engineering, security, data, and business stakeholders.