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OneAdvanced

Sovereign AI-powered sector-focused software

VP Platform Architecture & Engineering - Engineering & Architecture

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeBirmingham, UKNo salary listedIn-person

About the Job

Requirements

  • Applicants must have the legal right to work in the UK at the time of application.
  • Ability to pivot between high-level strategic planning and deep-dive tactical problem-solving for the product and platform portfolio.
  • Belief that manual operations should be engineered away through autonomous, self-service capabilities.
  • Fluency in SaaS metrics, including ARR, EBITDA, CAC/LTV, COGS, and TTFV, and ability to translate technical and architectural choices into enterprise value.
  • Ability to distill complex AI, data, and platform concepts into strategic insights for executive committees, private-equity operating partners, and the board.
  • Ability to navigate a peer-based leadership ecosystem and partner with Product, Reliability & Technology Operations, and Services leads.
  • 15+ years of software engineering and architecture experience, including at least 5 years as a Chief Architect, VP Engineering, or equivalent VP-level leader in a private-equity-backed or high-growth SaaS environment.
  • Proven track record of architecting and delivering large-scale platform migrations, Platform-as-a-Product transformations, and M&A technical integrations.
  • Deep expertise in Data Architecture, distributed systems, cloud-native ecosystems such as AWS and Azure, Kubernetes, Infrastructure-as-Code, and generative AI/agentic AI frameworks.
  • Deep understanding of UK/EU regulatory environments, including GDPR and ISO standards relevant to AI and software platforms.

Responsibilities

  • Define and execute the transition to an AI-first target architecture that embeds agentic AI into core systems of work and aligns infrastructure, security, data, platform, and product architectures with company strategy.
  • Architect application frameworks and patterns, including modularity, high cohesion, and specification-first API design, to improve product development cycles through agentic AI workflows.
  • Partner with product engineering to balance speed to market with disciplined evolution toward the platform-native target state.
  • Own the product and platform technical-debt inventory and modernisation roadmap, applying the Rehost, Replatform, Refactor, Rewrite, and Replace framework to maximise EBITDA impact.
  • Design, build, and deploy the engineering roadmap for the core platform fabric and self-service platform products.
  • Partner with Services and Support to build automated provisioning and graduation services that make the transition from heritage products to platform-native services seamless and fast.
  • Architect and advocate for platform services that improve cost-of-goods-sold efficiency and reduce platform unit costs through automation and architectural optimisation.
  • Own enterprise Data Architecture and design unified infrastructures that enable AI-native services, behavioural intelligence, and cross-functional orchestration.
  • Architect data flows and storage patterns to comply with UK/EU GDPR and ISO 27001, ISO 9001, and ISO 42001 standards.
  • Embed automated personally identifiable information redaction and privilege guardrails in data services and AI model gateways.
  • Implement Compliance-in-Code by programmatically enforcing regulatory and ISO standards in delivery pipelines through automated security posture management and real-time governance gates.
  • Deliver the OneStack Agentic SDLC, using AI agents to automate testing, deployment, and remediation and integrating autonomous agents with architectural and quality guardrails.
  • Evolve engineering capabilities to improve performance and quality across research and development hubs.
  • Use the platform engineering and architecture team as a benchmark for engineering excellence and agentic workflows.
  • Design self-healing, autonomous platform services that reduce manual intervention through policy-driven AI orchestration and protect data security, lineage, and integrity.
  • Functionally lead, coach, and mentor Principal Architects embedded in product and platform teams.
  • Lead the architecture community of practice to establish shared goals, common patterns, and consistent architectural language across global engineering teams.
  • Establish a model for solution design teams to contribute reusable templates, architecture decision records, and pattern modules to the enterprise portfolio.
  • Lead technical due diligence of potential acquisitions, identifying technical debt, technology value enhancers, and compatibility with the OneStack platform.
  • Design integration playbooks and primitives to unify acquired platforms and data silos and onboard and modernise acquired SaaS portfolios.
  • Lead enterprise technology evaluations and approval for material third-party technology selections and investments needed to deliver the target architecture and platform.

Desired Qualifications

  • Understanding of ISO 42001 is preferred.

About the Company

OneAdvanced

Sovereign AI-powered sector-focused software

OneAdvanced provides sector-focused software that uses sovereign AI to improve outcomes for customers, people, and communities. Its IQ platform embeds AI into critical workflows across healthcare, housing, education, legal services, logistics, public sector, and commercial sectors, automating processes and augmenting expertise while ensuring regulatory compliance. It differentiates itself with governance‑driven, context‑aware AI backed by deep vertical domain knowledge and a history of growth through innovation and acquisitions, supported by investors like Vista Equity Partners and BC Partners. Its goal is to help organizations adopt AI safely and responsibly at scale, improving efficiency and decision-making across essential services.

Company size
1,001-5,000
Company stage
Debt Financing
Total funding
$1.6B
Headquarters
London, United Kingdom
Founded
1983

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