AI Solutions Architect

About the role

The AI Solutions Architect plays a pivotal role in our engagement lifecycle. You will assess client operational architectures, design bespoke AI integration strategies, and oversee technical implementation from discovery through continuous optimisation.

Responsibilities

• Lead technical discovery sessions with client IT leadership and engineering teams.
• Produce architecture documentation, ROI models, and phased implementation plans.
• Define integration patterns for legacy systems, private cloud, and hybrid infrastructure.
• Guide ML engineers and client teams through deployment, security review, and go-live.
• Present board-level progress reports and recalibration recommendations.

Requirements

• 7+ years in solution architecture, systems engineering, or technical consulting.
• Proven track record designing AI or data platform architectures for enterprise clients.
• Deep understanding of cloud infrastructure, API design, and enterprise integration patterns.
• Ability to conduct structured technical audits and produce executive-ready documentation.
• UK eligibility to work without sponsorship.

Desirable

• TOGAF or equivalent architecture certification.
• Experience in manufacturing, financial services, or professional services sectors.
• Hands-on familiarity with LLM deployment and vector database architectures.