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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and delivering AI-enabled enterprise solutions, with a strong focus on cloud-native architecture, technical leadership, and collaboration across multidisciplinary teams. Proficient in managing architectural risks and ensuring compliance with security and non-functional requirements.
Highest-signal resume keywords
AI Solution DesignCloud-Native ArchitectureTechnical LeadershipEnterprise Architecture CollaborationArchitectural Risk Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI ModelsCloud EngineeringAPIsDevSecOpsObservabilityDistributed TechnologiesSoftware DevelopmentIntegrationSecurityPerformance Evaluation
Soft Skills
Architectural JudgementCollaborationMentoringCommunicationProblem-Solving
Tools & Technologies
AzureAI PlatformsCloud ModernisationReference ArchitecturesBlueprints
Industry Keywords
Responsible AITechnical Trade-OffsNon-Functional RequirementsRFPsRFIs
Tech Stack
Tools & technologiesAzureCloud
About the role
Key responsibilities & impact- Own end-to-end architecture of AI-enabled products, platforms and services from discovery through live service
- Provide technical leadership throughout delivery and guide multidisciplinary engineering teams
- Review key design decisions and resolve technical trade-offs
- Identify and manage architectural risks, constraints, dependencies and technical debt
- Ensure alignment with non-functional requirements, security controls and Tech Catalyst standards
- Design responsible, production-ready AI solutions with evaluation and monitoring across quality, performance, safety, data quality, privacy, security, explainability, traceability and human oversight
- Collaborate with Enterprise Architecture, Security, Engineering, Data and Platform teams
- Develop and promote reusable patterns, reference architectures and blueprints
- Stay current with AI and cloud technologies, including AI models and agentic technologies
- Communicate architecture decisions to stakeholders and support RFPs, RFIs and proposals
- Mentor Solution Architects, Engineers and other technical practitioners
Requirements
What you’ll need- Experience designing and delivering enterprise solutions end-to-end, from discovery and solution shaping through to engineering delivery and live service
- Good architectural judgement and ability to work through ambiguity, technical trade-offs, risks and non-functional requirements
- Experience with cloud-native architecture and engineering, ideally using Azure or a comparable cloud platform
- Understanding of APIs, integration, security, identity, DevSecOps, observability and resilience
- Experience designing AI solutions, including AI models, retrieval/RAG, agents and orchestration
- Knowledge of responsible AI, evaluation, performance, security and cost considerations
- Practical technology delivery experience, including AI platforms, software development, cloud modernisation, distributed technologies or taking AI solutions into production
- Experience providing technical leadership and collaborating with senior stakeholders and technical teams
- Experience contributing to solution shaping, proposals, RFPs or RFIs
- Available for work visa sponsorship
- Willingness/ability to travel up to 60%
Benefits
Comp & perks- Empowered flexibility and a working week split between office, home and client site
- Private medical cover
- 24/7 access to a qualified virtual GP
- Six volunteering days a year
