The Role: As a Lead Technical Architect supporting the AI buildout, and will provide end-to-end technical oversight, strategic perspective, and architectural governance for the transition to AI-assisted and agentic workflows. The successful candidate will be responsible for leading the technical design of AI platforms and cloud infrastructure. Description: Define architectural roadmaps and principles for the AI buildout, establishing secure Cloud Landing Zones and technology agnostic integration layers Create modular, scalable cloud and microservice architectures capable of supporting complex AI workflows, setting technical design standards across the project life cycle. Provides technical leadership and architectural design. Make high-impact design decisions to manage architectural risk Lead architectural governance for AI systems, steering solutions through formal Technical Design Authority (TDA), Data Protection Impact Assessment (DPIA), and cyber security checkpoints. Regularly collaborate and find agreement with senior stakeholders Be proactive in identifying problems and translating these into non-technical descriptions that can be widely understood. Apply strategy, using patterns, standards, policies, roadmaps and vision statements. Skills: Previous experience working as a Lead Technical Architect on an AI project Hands on experience designing deterministic AI safety controls, including human-in-the-loop approval gates, VPC Service Controls, identity federation (WIF, Entra ID) and privacy/PII masking baselines. Significant experience leading cloud platform architecture (GCP/AWS), secure Cloud Landing Zones, Identity and Access Management (IAM) hierarchies and microservices design for complex enterprise environments. Google Cloud experience Expertise in both strategic and technical design, with a proven tack record of designing modular components and services. Proven ability to architect modular, vendor-neutral software systems and API layers that seamlessly connect core enterprise platforms into central AI and workflow backbones. Strong understanding of public sector architectural governance Ability to communicate complex technical designs and risk models to stakeholders.
23/10/2026
Contractor
The Role: As a Lead Technical Architect supporting the AI buildout, and will provide end-to-end technical oversight, strategic perspective, and architectural governance for the transition to AI-assisted and agentic workflows. The successful candidate will be responsible for leading the technical design of AI platforms and cloud infrastructure. Description: Define architectural roadmaps and principles for the AI buildout, establishing secure Cloud Landing Zones and technology agnostic integration layers Create modular, scalable cloud and microservice architectures capable of supporting complex AI workflows, setting technical design standards across the project life cycle. Provides technical leadership and architectural design. Make high-impact design decisions to manage architectural risk Lead architectural governance for AI systems, steering solutions through formal Technical Design Authority (TDA), Data Protection Impact Assessment (DPIA), and cyber security checkpoints. Regularly collaborate and find agreement with senior stakeholders Be proactive in identifying problems and translating these into non-technical descriptions that can be widely understood. Apply strategy, using patterns, standards, policies, roadmaps and vision statements. Skills: Previous experience working as a Lead Technical Architect on an AI project Hands on experience designing deterministic AI safety controls, including human-in-the-loop approval gates, VPC Service Controls, identity federation (WIF, Entra ID) and privacy/PII masking baselines. Significant experience leading cloud platform architecture (GCP/AWS), secure Cloud Landing Zones, Identity and Access Management (IAM) hierarchies and microservices design for complex enterprise environments. Google Cloud experience Expertise in both strategic and technical design, with a proven tack record of designing modular components and services. Proven ability to architect modular, vendor-neutral software systems and API layers that seamlessly connect core enterprise platforms into central AI and workflow backbones. Strong understanding of public sector architectural governance Ability to communicate complex technical designs and risk models to stakeholders.
The Role: Working as a Lead Data Engineer supporting the client's enterprise AI buildout. This role is responsible for leading the design and implementation of complex data flows, pipelines and integrations to enable advanced AI and automated workflow solutions. Requirements: Develop and construct data products and services and integrate them into systems and business processes. Design and lead the implementation of data flows to connect operational systems, data for analytics and Business Intelligence (BI) systems. Establish data integration standards and lead the engineering of automated data pipelines, ETL/ELT workflows and API connections connecting enterprise SaaS and internal databases to AI applications whilst ensuring alignment with existing pipelines and standards. Recognise opportunities to re-use existing data flows Lead the build of data streaming systems Optimise the code to ensure processes perform optimally Lead work on database management Implement identity and access controls, including SSO, conduct data quality, sensitivity and access checks before indexing and ensure AI applications respect source system permissions. Act as the key bridge between technical engineering partners and business leads, interpreting data requirements and translating complex data risks into clear choices for stakeholders. Build teams to complete data integration services. Select and implement the appropriate technologies to deliver resilient, scalable and future-proofed data solutions. Respond to problems in databases, data processes, data products and services as they occur. Use agreed standards and tools to design, code, test, correct and document moderate-to-complex programs and scripts from agreed specifications and subsequent iterations Skills Required: Hands on expertise in building scalable ETL/ELT pipelines, designing robust API integrations for large-scale enterprise AI architectures. Expert knowledge of Identity and Access Management, data classifications standards and UK GDPR/DPA compliance frameworks within AI environments. Experience conducting data quality assessments, structuring synthetic testing environments, and evaluating dataset readiness for complex automation or ML models. Advanced proficiency in AWS, Python, SQL and query optimisation. Demonstrated experience implementing CI/CD pipelines using Terraform, automated testing and metadata management best practices. Proven ability to translate complex technical data risks into strategic guidance for senior leadership. Track record of leading cross-functional engineering teams in agile environments.
23/10/2026
Contractor
The Role: Working as a Lead Data Engineer supporting the client's enterprise AI buildout. This role is responsible for leading the design and implementation of complex data flows, pipelines and integrations to enable advanced AI and automated workflow solutions. Requirements: Develop and construct data products and services and integrate them into systems and business processes. Design and lead the implementation of data flows to connect operational systems, data for analytics and Business Intelligence (BI) systems. Establish data integration standards and lead the engineering of automated data pipelines, ETL/ELT workflows and API connections connecting enterprise SaaS and internal databases to AI applications whilst ensuring alignment with existing pipelines and standards. Recognise opportunities to re-use existing data flows Lead the build of data streaming systems Optimise the code to ensure processes perform optimally Lead work on database management Implement identity and access controls, including SSO, conduct data quality, sensitivity and access checks before indexing and ensure AI applications respect source system permissions. Act as the key bridge between technical engineering partners and business leads, interpreting data requirements and translating complex data risks into clear choices for stakeholders. Build teams to complete data integration services. Select and implement the appropriate technologies to deliver resilient, scalable and future-proofed data solutions. Respond to problems in databases, data processes, data products and services as they occur. Use agreed standards and tools to design, code, test, correct and document moderate-to-complex programs and scripts from agreed specifications and subsequent iterations Skills Required: Hands on expertise in building scalable ETL/ELT pipelines, designing robust API integrations for large-scale enterprise AI architectures. Expert knowledge of Identity and Access Management, data classifications standards and UK GDPR/DPA compliance frameworks within AI environments. Experience conducting data quality assessments, structuring synthetic testing environments, and evaluating dataset readiness for complex automation or ML models. Advanced proficiency in AWS, Python, SQL and query optimisation. Demonstrated experience implementing CI/CD pipelines using Terraform, automated testing and metadata management best practices. Proven ability to translate complex technical data risks into strategic guidance for senior leadership. Track record of leading cross-functional engineering teams in agile environments.
The Role: Lead service design activity for complex, user-centred digital services, ensuring that services meet user needs, business objectives and government service standards. Drive end-to-end service design across multidisciplinary teams, helping to identify opportunities for service improvement, reduce complexity and deliver measurable outcomes for citizens and colleagues. Requirements: Facilitate collaborative design activities and support strategic decision-making through evidence-based design approaches. Lead the design and improvement of end-to-end services across multiple channels and touchpoints. Plan and conduct service design activities including service mapping, journey mapping, blueprinting and workshop facilitation. Work closely with product managers, user researchers, business analysts, interaction designers, content designers and technical teams to shape service outcomes. Translate user needs, policy requirements and operational constraints into practical service solutions. Identify pain points, risks, dependencies and opportunities across complex service ecosystems. Facilitate stakeholder engagement and alignment across programme, policy, operational and digital teams. Use research insights, data and evidence to inform service design decisions. Support service assessments and ensure alignment with the Government Service Standard. Produce clear design artefacts and recommendations to support delivery and decision making. Coach and influence teams in adopting user-centred design practices. Ability to analyse complex service landscapes and identify strategic improvement opportunities. Skills Required: Demonstrable experience leading service design on complex digital transformation programmes. Experience supporting services through discovery, Alpha, beta and live phases. Ability to design and improve end-to-end services spanning multiple teams, systems and channels. Advanced knowledge of service mapping, blueprinting and systems thinking. Strong understanding of user-centred design principles and practices. Ability to synthesise user research findings into actionable service improvements. Experience balancing user, organisational and policy needs. Experience planning and facilitating workshops with senior stakeholders and multidisciplinary teams. Ability to build consensus and influence decision-making in complex environments. Strong communication and presentation skills Digital Delivery in Agile Environments Ability to prioritise work and adapt to changing requirements. Experience working within the public sector or highly regulated This is a hybrid role and can be based from one of the following locations Birmingham, Leeds, Sheffield or Manchester.
22/10/2026
Contractor
The Role: Lead service design activity for complex, user-centred digital services, ensuring that services meet user needs, business objectives and government service standards. Drive end-to-end service design across multidisciplinary teams, helping to identify opportunities for service improvement, reduce complexity and deliver measurable outcomes for citizens and colleagues. Requirements: Facilitate collaborative design activities and support strategic decision-making through evidence-based design approaches. Lead the design and improvement of end-to-end services across multiple channels and touchpoints. Plan and conduct service design activities including service mapping, journey mapping, blueprinting and workshop facilitation. Work closely with product managers, user researchers, business analysts, interaction designers, content designers and technical teams to shape service outcomes. Translate user needs, policy requirements and operational constraints into practical service solutions. Identify pain points, risks, dependencies and opportunities across complex service ecosystems. Facilitate stakeholder engagement and alignment across programme, policy, operational and digital teams. Use research insights, data and evidence to inform service design decisions. Support service assessments and ensure alignment with the Government Service Standard. Produce clear design artefacts and recommendations to support delivery and decision making. Coach and influence teams in adopting user-centred design practices. Ability to analyse complex service landscapes and identify strategic improvement opportunities. Skills Required: Demonstrable experience leading service design on complex digital transformation programmes. Experience supporting services through discovery, Alpha, beta and live phases. Ability to design and improve end-to-end services spanning multiple teams, systems and channels. Advanced knowledge of service mapping, blueprinting and systems thinking. Strong understanding of user-centred design principles and practices. Ability to synthesise user research findings into actionable service improvements. Experience balancing user, organisational and policy needs. Experience planning and facilitating workshops with senior stakeholders and multidisciplinary teams. Ability to build consensus and influence decision-making in complex environments. Strong communication and presentation skills Digital Delivery in Agile Environments Ability to prioritise work and adapt to changing requirements. Experience working within the public sector or highly regulated This is a hybrid role and can be based from one of the following locations Birmingham, Leeds, Sheffield or Manchester.
