> Markdown version of [/jobs/ext/1603620-ai-platform-architect](https://www.wearedevelopers.com/jobs/ext/1603620-ai-platform-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI Platform Architect

- **Company:** RSA Group
- **Location:** UK
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Architectural Patterns, Microsoft Azure, Encodings, Identity and Access Management, Machine Learning, Azure Machine Learning, Software Safety, Large Language Models, Multi-Cloud, AI Platforms, Machine Learning Operations, Cloud Integration
- **Published:** July 16, 2026
- **Apply:** https://www.rsagroup.com/careers/search-our-vacancies/uk-job-description?jobId=186712

## About the Role

* Experience designing enterprise-grade AI or ML platforms across Azure and AWS.
 * Strong knowledge of ML/AI platform components, including pipelines, orchestration, feature stores, model hosting and observability.
 * Expertise in GenAI architecture, including LLM hosting, vector databases, RAG patterns, guardrails and evaluation frameworks.
 * Solid understanding of multi-cloud architecture, networking, IAM, security and cross-cloud integration.
 * Experience comparing AI/ML tooling and making clear, evidence-based architectural recommendations.
 * Awareness of responsible AI, data-protection and regulatory expectations relevant to AI/ML.
 * Skilled in producing high-quality architectural models and documentation.
 * Experience designing scalable, cost-efficient training and inference architectures.
 * Ability to troubleshoot complex issues and support engineering and ML teams.
 * Background in enterprise or regulated environments (e.g., financial services) is beneficial.

## Description

* Defining and owning the architecture for a secure, scalable multi-cloud AI Platform across Azure and AWS.
 * Designing key platform capabilities, including ML pipelines, model hosting, observability, GenAI patterns and AI safety controls.
 * Evaluating AI tooling and making evidence-based technology decisions that balance engineering needs, security, governance and cost.
 * Creating clear architectural standards, blueprints and documentation to guide consistent platform development.
 * Enabling seamless integration across cloud environments and internal systems to support data, model and service interoperability.
 * Supporting AI use case delivery by ensuring solution designs align with platform capabilities and governance requirements.
 * Providing architectural oversight during implementation and embedding responsible AI, security and compliance expectations.
 * Driving cost-efficient, reliable and resilient design across training, inference and data workflows.
 * Representing the AI Platform in governance forums and aligning designs with wider cloud, data and enterprise architecture strategies.
 * Partnering with engineering, data science and business teams to ensure the platform meets diverse and evolving user needs.


## Related Videos

- [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow)
- [A Brief History of Data Storage](https://www.wearedevelopers.com/videos/974-a-brief-history-of-data-storage)
- [The Open-source Java SDK for Multi-Cloud Development - Sandeep Pal](https://www.wearedevelopers.com/videos/2113-the-open-source-java-sdk-for-multi-cloud-development-sandeep-pal)
- [This App Reached 10,000 Users in One Week. Here's How.](https://www.wearedevelopers.com/videos/100329-this-app-reached-10-000-users-in-one-week-here-s-how)
- [Supercharge your cloud-native applications with Generative AI](https://www.wearedevelopers.com/videos/950-supercharge-your-cloud-native-applications-with-generative-ai)
- [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure)

## Related Articles

- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)
- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)