AI Platform Architect

RSA Group
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Architectural Patterns
Azure
Encodings
Identity and Access Management
Machine Learning
Azure
Software Safety
Large Language Models
Multi-Cloud
AI Platforms
Machine Learning Operations
Cloud Integration

Job 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.

Requirements

  • 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.

Benefits & conditions

Being part of our team means you'll have the support and freedom to bring your best self to work each day. As a permanent member, here's what you can look forward to

  • 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

About the company

Intact Insurance is the new name for RSA in the UK, Ireland, and across Europe. It's a new name and a new way to do business. Backed by global expertise and a commitment to service that feels different, we're focused on making insurance simpler, faster, and more responsive. Shape the future: We're leading a transformation in insurance helping people, businesses and society prosper in good times and be resilient in bad times. When you join us, you're not just taking a job, you're stepping into a career where you can make a real difference. Grow with us: We're customer-driven, community-focused, and committed to helping our people grow. Whether you're early in your journey or bringing years of experience, we'll support you with the tools, flexibility, and opportunities to thrive.

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