Job Specifications
AI Architect - UK Remote - 6 month Contract
Inside/Outside IR35 – subject to determination
Role Overview
Bigspark is seeking an experienced AI Architect to design and govern the delivery of enterprise-scale AI solutions for a major UK client. The role will focus on AI platforms and architectures supporting legal and compliance technology programmes, with exposure to regulated data environments, model governance, and responsible AI practices. The successful candidate will combine deep technical architecture expertise with strong stakeholder engagement, ensuring AI solutions are scalable, secure, explainable, and compliant with regulatory standards. Experience supporting HR technology or people analytics platforms is highly desirable
Key Responsibilities
Define and own end-to-end AI architecture across data ingestion, model development, deployment, and monitoring
Design AI solutions aligned to legal, compliance, and risk technology use cases
Establish architectural standards for:
Model lifecycle management
Data pipelines and feature stores
MLOps, CI/CD, and monitoring
Collaborate with legal, compliance, data science, engineering, and platform teams to translate business requirements into technical designs
Provide architectural governance, design authority, and assurance across multiple delivery teams
Evaluate and recommend AI tooling, platforms, and cloud services
Support delivery teams through design reviews, technical decision-making, and issue resolution
Produce clear architecture artefacts (logical, physical, and solution designs) for senior technical and non-technical stakeholders
Required Skills & Experience
Proven experience as an AI Architect, Solution Architect, or ML Architect delivering enterprise AI solutions
Strong hands-on knowledge of:
Machine learning and AI systems
Data engineering and analytics platforms
Cloud-native architectures (AWS, Azure, or GCP)
Strong understanding of Model governance and lifecycle management
Data privacy, security, and access controls
Explainable AI and responsible AI principles
Excellent communication skills, with the ability to engage senior technical and business stakeholders
Exposure to HR technology or people analytics architectures