Ai Solutions Architect London £700 per day neg
SmartSourcing Ltd
3 hours ago
Contract
London
United Kingdom
£700 - £700 GBP daily
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
You will design and guide AI and automation solution architectures across the AI Incubator Accelarator pods, aligning with approved platform standards to deliver coherent, scalable and maintainable products that support programme objectives.
1. 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.
2. Produce high-level and detailed solution designs for AI and automation use cases, covering data flows, model integration and system interfaces.
3. Review and challenge solution designs from Data Scientists, AI Engineers and capability partners to align with agreed architectural standards, integration patterns and security requirements.
4. Design AI solution architectures within approved cloud and data platforms, aligning with established enterprise standards and integration approaches.
5. Collaborate with Cloud, Platform and Governance stakeholders to influence enhancements required to support AI workloads and automation use cases.
6. 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.
7. Incorporate scalability, security and performance considerations into AI solution designs in line with established enterprise standards.
8. Evaluate externally developed components and supplier solutions against agreed architectural principles to maintain integration integrity and minimise technical debt.
9. 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.
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
You will design and guide AI and automation solution architectures across the AI Incubator Accelarator pods, aligning with approved platform standards to deliver coherent, scalable and maintainable products that support programme objectives.
1. 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.
2. Produce high-level and detailed solution designs for AI and automation use cases, covering data flows, model integration and system interfaces.
3. Review and challenge solution designs from Data Scientists, AI Engineers and capability partners to align with agreed architectural standards, integration patterns and security requirements.
4. Design AI solution architectures within approved cloud and data platforms, aligning with established enterprise standards and integration approaches.
5. Collaborate with Cloud, Platform and Governance stakeholders to influence enhancements required to support AI workloads and automation use cases.
6. 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.
7. Incorporate scalability, security and performance considerations into AI solution designs in line with established enterprise standards.
8. Evaluate externally developed components and supplier solutions against agreed architectural principles to maintain integration integrity and minimise technical debt.
9. 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.