AI Platform Architect
SKILLS
FULL DESCRIPTION
[Employer hidden — sign up to reveal] is looking for an AI Platform Architect to join their IS & Change team. This hybrid role involves designing a multi-cloud AI platform on Azure and AWS. You will own the architecture, define ML capabilities, and ensure responsible AI practices. Ideal candidates have enterprise AI/ML platform experience and expertise in GenAI architecture.
Job Details
- Job Reference: UK003412
- Location: Multiple Office Locations
- Business area: IS & Change
- Work type: Hybrid
About [Employer hidden — sign up to reveal]
[Employer hidden — sign up to reveal] is the new name for RSA in the UK, Ireland, and across Europe. Backed by global expertise and a commitment to service, we're focused on making insurance simpler, faster, and more responsive.
You’ll make an impact by:
- 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.
Your skills and experience:
- 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.
Why You’ll Love It Here
- Annual discretionary bonus
- Up to 11% pension contributions
- Hybrid working + flexible hours
- 25 days annual leave + bank holidays + buy/sell options
- Health & wellbeing + virtual GP
- Career development and mentoring
- Inclusive culture + employee networks
- Share investment options
Our DEI Commitment
We celebrate individuality and believe our differences make us stronger. We're proud to foster a culture where everyone feels respected, valued, and empowered to thrive. As an Equal Opportunity and Disability Confident Employer, we ensure fair consideration for all applicants and offer interviews to all disabled candidates who meet the essential criteria. We understand that everyone's circumstances are different and are happy to explore flexible working options such as reduced hours or job shares to support work–life balance. If you meet the core criteria but not every requirement, we'd still love to hear from you.