AI Platform Architect
Intact Insurance View all jobs
- United Kingdom Ireland
- Permanent
- Full-time
- 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.
- 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.
- 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