Ai Solutions Architect London £700 per day neg

AI Solutions Architect/Artificial Intelligence Solutions Architect - August start date for 12 months

Location: 1 - 2 days per week in the office in London or York

Rate London - upto £795 umbrella

York - £615 pd

CV Deadline: 3.00pm 05/08/26

Responsibilities

• Define and drive the strategic direction for AI solution architecture across the programme, establishing enterprise principles, standards and reusable patterns to ensure coherence, interoperability and minimise duplication.
• Produce high-level and detailed solution designs for AI and automation use cases, covering data flows, model integration and system interfaces.
• Review and challenge solution designs from Data Scientists, AI Engineers and capability partners to align with agreed architectural standards, integration patterns and security requirements.
• Design AI solution architectures within approved cloud and data platforms, aligning with established enterprise standards and integration approaches.
• Collaborate with Cloud, Platform and Governance stakeholders to influence enhancements required to support AI workloads and automation use cases.
• Shape and structure ambiguous business problems into viable AI and Machine Learning solution approaches, defining options, trade-offs and feasibility considerations to guide delivery direction.
• Incorporate scalability, security and performance considerations into AI solution designs in line with established enterprise standards.
• Evaluate externally developed components and supplier solutions against agreed architectural principles to maintain integration integrity and minimise technical debt.
• Apply systems thinking, or comparable holistic design approaches, when designing AI solutions across interconnected platforms, data flows and operational environments.

Essential

• Proven experience operating as an AI, Machine Learning or Solutions Architect within complex, multi-system technology programmes.
• Demonstrated experience designing end-to-end AI solutions, including data flows, model integration and system interfaces.
• Practical experience building AI or automation solutions within enterprise cloud environments while aligning to established platform standards.
• Experience reviewing and challenging technical designs to maintain architectural coherence across concurrent workstreams.
• Demonstrated ability to influence technical and non-technical stakeholders within cross-functional delivery teams.