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Bupa

Multinational health insurer and care provider

Senior Technology Manager - AI Hub

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeMelbourne VIC, AustraliaNo salary listedIn-person

About the Job

Requirements

  • At least 10 years of experience delivering complex digital, data, engineering, or technology solutions within large enterprise environments.
  • At least 3 years of experience designing and delivering AI, machine learning, or GenAI solutions, including taking solutions into production.
  • Strong technical expertise in GenAI, large language model architecture, retrieval-augmented generation, embeddings, vector search, model selection, and model evaluation.
  • Experience designing Agentic AI solutions, including agent frameworks, orchestration, and integration patterns.
  • Strong knowledge of AI/ML solution architecture, including APIs, data, identity, security, and cloud architecture.
  • Experience building enterprise-grade AI platforms and reusable AI capabilities that scale across complex organisations.
  • Strong understanding of AI observability, performance, cost optimisation, production monitoring, and Responsible AI controls.
  • Demonstrated experience leading multidisciplinary technical teams and technical leaders while remaining credible in detailed technical discussions.
  • Ability to translate complex AI concepts and technical decisions for executives, business stakeholders, and technology teams.
  • Ability to challenge solution designs, identify risks, recommend appropriate approaches, and guide senior stakeholders through complex AI decisions.

Responsibilities

  • Lead the design, development, and operationalisation of GenAI models, intelligent agents, copilots, and automation solutions across Bupa.
  • Own end-to-end AI solution delivery, from discovery and scoping through evaluation, build, testing, deployment, monitoring, and optimisation.
  • Oversee technical solution design, integrations, APIs, data flows, and model selection, ensuring alignment with Bupa’s AI and architecture standards.
  • Manage key elements of the AI engineering stack, including large language model platforms, orchestration frameworks, vector databases, retrieval pipelines, security controls, and cloud infrastructure.
  • Partner with business teams to understand their needs and ensure AI solutions deliver measurable value and improved operational outcomes.
  • Translate Bupa’s AI strategy and roadmaps into practical delivery plans aligned with business priorities.
  • Champion reusable AI assets, reference architectures, libraries, and shared services to support efficient delivery across Bupa.
  • Embed responsible AI practices across solutions, including safety, privacy, information security, governance, monitoring, and model risk controls.
  • Build and lead a high-performing AI engineering and solution delivery team, developing AI capability through coaching, collaboration, and communities of practice.
  • Guide teams on designing, building, and bringing AI, GenAI, and Agentic AI solutions into production.
  • Help identify opportunities for AI, translate business needs into practical solutions, and accelerate responsible AI adoption.
  • Help shape solutions, challenge thinking, and navigate technical risks across the AI Hub, Technology, Architecture, and the broader business.

About the Company

Bupa

Multinational health insurer and care provider

Bupa provides health insurance and direct healthcare services, including dental, optical, and aged care, to individuals, companies, and care facilities around the world. Premiums and service fees fund coverage for treatments, clinics, and care homes, with corporate wellness programs supporting employees. Unlike many competitors, Bupa operates as a provident association with no shareholders and reinvests profits into expanding services, delivering an integrated suite of health and care under one global brand across 190 countries. Its goal is to improve health and wellbeing by making quality care and support available at scale.

Company size
10,001+
Company stage
Debt Financing
Total funding
$924M
Headquarters
London, United Kingdom
Founded
1974

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