AI Platform Architect

Benefits

Additional Information

What success looks like in this role: Lead enterprise and solution architecture across complex, multi-stakeholder environments, from greenfield platforms to legacy transformation Define and own API strategy, governance frameworks, and integration patterns at organisational level Design and deliver on-prem, cloud-native and hybrid infrastructure across AWS, Azure and GCP with focus on scalability, cost, and compliance Architect and operate AI/ML platforms including LLM pipelines, GPU infrastructure, and agentic orchestration Establish DevSecOps practices including CI/CD, Infrastructure as Code, and automated deployment pipelines Define data architecture, integration patterns, and analytics capability to support decision-making Lead vendor evaluation, procurement, and technology selection, including AI and LLM tooling Provide board-level advisory on technology strategy, digital transformation and risk Build and mentor engineering teams and uplift capability through structured practices and frameworks Own governance, security and compliance posture across regulatory and emerging AI frameworks Technical Competencies On-Prem, Cloud & Infrastructure: Dell AI Factory, AWS, Azure, GCP; Terraform; containerisation and CI/CD pipelines AI/ML & LLM Operations: GPU infrastructure, model deployment, inference optimisation, agentic workflows Security & Identity: SSO, OAuth2/OIDC, ISO27001, PCI DSS, GDPR, emerging AI regulation APIs & Integration: REST, GraphQL, enterprise API governance Data & Analytics: ETL, data warehousing, BI tooling, compliant data architecture Frameworks & Methods: SAFe, Agile, Domain-Driven Design Leadership & Impact Operates at enterprise and board level Shapes long-term platform and technology strategy Balances innovation with risk, governance, and scalability Drives organisational capability uplift You will be successful in this role if you have: Experience Profile (Indicative) Significant experience in enterprise architecture, platform engineering, or infrastructure leadership roles Proven track record designing and delivering complex cloud, hybrid, and enterprise-scale platforms Deep experience in defining architecture standards, governance models, and technology strategy Strong background in AI/ML platforms, data architecture, and emerging technology adoption Experience operating at senior stakeholder and board level, including advisory and decision support Demonstrable leadership of engineering and architecture teams in complex, multi-stakeholder environments Experience working within regulated environments with strong security, risk, and compliance requirements Proven ability to balance innovation with operational stability, cost, and scalability

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