Job type
ContractLocation
LondonWorking Pattern
Full-timeSpecialism
CloudIndustry
InsurancePay
£383/day via UMB
Exciting AI Platform Architect Opportunity (Hays Contract) || London
Grow Your Career with a Leading Global Insurance Provider
Job Overview:
We are seeking a highly skilled AI Platform Architect to lead the design and end‑to‑end architecture of a next‑generation AI platform leveraging AWS and Databricks. In this role, you will define both high‑level and low‑level designs, shape scalable and secure data and AI/ML platform capabilities, and drive seamless integration with core enterprise systems. The ideal candidate combines deep cloud architecture expertise, strong data engineering and AI/ML platform experience, and the ability to translate complex business needs into robust, future‑ready technical solutions.
Location: London
Contract: Until 30/06/2026
Pay Rates: £383/day MUST BE PAYE THROUGH UMBRELLA
Days on site: 2–3
Role Description:
We are seeking an experienced AI Platform Architect to lead the design and architecture of our next-generation AI platform built on AWS and Databricks. This role involves defining the High-Level Design (HLD) and Low-Level Design (LLD) for the end-to-end platform, driving integration with enterprise systems such as Radar, EDP, and other data/AI services within the ecosystem.
The ideal candidate brings a strong blend of cloud architecture, data engineering, and AI/ML platform experience, along with the ability to translate business requirements into scalable and secure technical solutions.
Key Responsibilities:
Architecture & Design
- Define and own the HLD and LLD documentation for the AI platform on AWS and Databricks.
- Design scalable, secure, and cost-optimized architectures for data processing, feature engineering, model training, and inference pipelines.
- Establish standards, patterns, and best practices for platform components including Lakehouse architecture, MLOps, and data governance.
Platform Engineering
- Architect and guide implementation of Databricks workspace setup, clusters, Unity Catalog, Delta Lake, workflows, and model serving.
- Lead the integration of the platform with key internal systems such as Radar, EDP (Enterprise Data Platform), and other upstream/downstream applications.
- Define API, event, and data exchange patterns for cross-system interactions.
Cloud & Infrastructure
- Design cloud-native solutions leveraging AWS services such as S3, IAM, Lambda, EMR, Glue, ECS/EKS, Step Functions, CloudWatch, and networking components.
- Ensure platform scalability, reliability, observability, and high availability.
- Oversee IAM policies, security controls, and data protection mechanisms.
MLOps & AI Capabilities
- Define architecture for end-to-end ML lifecycle, including model development, experiment tracking, CI/CD, deployment, and monitoring.
- Evaluate technologies and frameworks for versioning, lineage, feature stores, and ML governance.
- Guide teams in implementing reusable ML workflows and enterprise-grade AI components.
Stakeholder Collaboration
- Work closely with engineering teams, product owners, data scientists, and security/infra teams to align technical design with business goals.
- Provide architectural guidance during development, testing, and production rollout.
- Review technical deliverables and ensure adherence to architectural guidelines.
Documentation & Governance
- Produce detailed and clear technical documentation (HLDs, LLDs, architecture diagrams, integration specs).
- Participate in architecture review boards and ensure compliance with enterprise standards.
- Support capacity planning, cost optimization, and risk assessments.
Required Skills & Experience:
- 8–12+ years of experience in data/AI engineering or cloud architecture roles.
- Strong expertise with Databricks (Delta Lake, Unity Catalog, MLflow, Workflows).
- Deep understanding of AWS cloud architecture and services relevant to data/AI workloads.
- Hands-on experience designing large-scale distributed data systems and AI/ML pipelines.
- Demonstrated ability to create HLD/LLD documents and architecture diagrams.
- Experience integrating platforms across complex enterprise ecosystems.
- Strong knowledge of data governance, security, and best practices for cloud-native systems.
- Proficiency in Python/SQL and familiarity with CI/CD, Terraform/IaC is a plus.
Preferred Qualifications:
- Databricks Architect or AWS Solutions Architect certification.
- Experience with enterprise-scale AI platforms and MLOps frameworks.
- Knowledge of event-driven architectures and service mesh patterns.
- Experience collaborating in multidisciplinary, global teams.
Soft Skills:
- Strong communication and documentation skills.
- Ability to work independently and influence architectural decisions.
- Problem-solving mindset with attention to detail.
- Ability to balance long-term vision with immediate business priorities.
How to Apply: If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
