AI Platform Architect

Dyddiad hysbysebu:	05 Mawrth 2026
Cyflog:	£300.0 i £383.0 bob dydd
Gwybodaeth ychwanegol am y cyflog:	£383/day via UMB
Oriau:	Llawn Amser
Dyddiad cau:	12 Mawrth 2026
Lleoliad:	London, London, EC2N 4BQ
Cwmni:	Hays Specialist Recruitment
Math o swydd:	Cytundeb
Cyfeirnod swydd:	4775658_1772703501

Crynodeb

Grow Your Career with a Leading Global Insurance ProviderJob 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: LondonContract: Until 30/06/2026Pay Rates: £383/day MUST BE PAYE THROUGH UMBRELLADays 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.

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