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AI Engineer
Senior AI Engineer
Role Summary
Designs, builds, and pilots AI-enabled solutions that support PL Re business teams through experimentation, rapid prototyping, and value-led innovation. Operating within the Business & AI team, the role translates business problems into secure, scalable, cloud-hosted AI solutions suitable for a regulated reinsurance environment. This position combines hands-on AI and full-stack development with strong engineering judgement, ensuring alignment with PL Re standards, enterprise architecture, and security controls. A key focus is maintaining awareness of emerging AI technologies and applying relevant advances pragmatically.
The role works closely with the Global Experience Analysis (Global EA) engineering team to accelerate AI adoption while ensuring solutions can transition from experimentation into enterprise platforms as appropriate.
Key Responsibilities
AI Solution Design & Delivery
- Design, build, and pilot AI-enabled solutions that address PL Re business problems through experimentation and rapid prototyping.
- Translate business use cases into secure, scalable, cloud-hosted AI solutions aligned with enterprise standards.
- Develop hands-on full-stack and AI solutions, capable of progressing into strategic or business-as-usual (BAU) platforms.
- Design prototypes with scalability, operability, data governance, and integration pathways in mind when advancing beyond pilot stage.
AI Research & Innovation
- Research, evaluate, and stay current with emerging AI approaches, tools, and techniques.
- Assess the relevance and applicability of new AI capabilities within a regulated reinsurance environment.
- Apply research insights to inform experimentation, solution design, and technical direction.
Engineering Excellence & Governance Alignment
- Ensure adherence to PL Technology engineering standards, architecture principles, and security controls.
- Partner with Enterprise Architecture and Information Security to meet governance and regulatory expectations.
- Ensure solutions respect data principles (ownership, lineage, residency, and PII handling).
- Apply approved integration patterns when accessing platforms, data products, or external services.
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Collaboration & Knowledge Sharing
- Work alongside the Global Experience Analysis (Global EA) engineering team, sharing cloud and AI engineering insights, patterns, and lessons learned.
- Act as an interdisciplinary bridge between Business & AI experimentation and wider PL Re technology capabilities to accelerate AI adoption across the organisation.
Architecture & Platform Alignment
- Contribute to solution architecture designs, including high-level logical and cloud architectures, for AI use cases progressing beyond experimentation.
- Align AI solutions with Architecture Governance, PL Re target architectures, approved platforms, integration patterns, and data architecture principles.
- Identify architectural impacts, dependencies, and technical debt risks arising from AI experimentation.
Skills & Experience
Essential
- Demonstrable experience designing, building, and piloting AI-enabled solutions, including rapid prototyping and experimentation in partnership with business stakeholders.
- Strong hands-on development experience (Python, APIs, modern application architectures).
- Experience translating business problems into practical, secure, and scalable solutions aligned with enterprise standards.
- Ability to build AI solutions in regulated or risk-aware environments.
- Strong engineering judgement, balancing innovation with operational readiness and control.
Desirable
- Experience with AI, data, and analytics platforms on AWS or Azure, including managed AI or foundation model services.
- Exposure to actuarial, underwriting, pricing, analytics, or adjacent insurance technology environments.
- Familiarity with DevOps / DevSecOps practices, including CI/CD pipelines in enterprise settings.
- Understanding of enterprise architecture principles, target architectures, and design governance in large, regulated organisations.
- Experience with AI and developer tooling such as OpenAI, AWS Bedrock, Claude, Llama, Azure AI Foundry, Copilot Studio, GitHub Copilot, or similar ecosystems.
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Behavioural Competencies
- Strong ownership and accountability for delivery outcomes.
- Clear, confident communication with both technical and non-technical stakeholders.
- Ability to lead through influence, setting technical direction and standards without formal authority.
- Risk-aware, quality-driven mindset suited to a regulated financial services environment.
Working at Pacific Life Re
Every person in our global team is valued for the unique qualities they bring. We seek to build expertise, support individual ambitions, and thrive on achievement—while also fostering a fun and collaborative culture. Pacific Life Re prioritises a healthy work-life balance, employee well-being, and community engagement.
Benefits (Permanent & Fixed-Term Employees)
Leave & Flexibility
- 25 days annual leave, with option to buy/sell additional days.
- Adoption and fertility leave.
- Generous enhanced parental leave.
Healthcare
- Comprehensive private insurance coverage for employees and dependents.
- Group Life Insurance (9x basic annual salary).
- Group Income Protection (up to 75% of basic annual salary).
Wellness & Lifestyle
- Savings & Retirement: 15% combined employee/employer contributions.
- Subsidized gym membership and access to an Employee Assistance Program.
- Cycle-to-Work and Electric Car Salary Sacrifice Scheme.
- Time off for volunteering.
Charity & Giving
- Charitable matching of employee donations.
Diversity & Inclusion
Pacific Life Re is committed to a culture of diversity and inclusion, where everyone can thrive. Adjustments will be made during recruitment to support applicants with disabilities. Please reach out if you require accommodations.
Company Values
View our company values here (internal link, adapted for context)
Pacific Life Re combines innovation and scalability to deliver best-in-class life and health reinsurance services globally. Headquartered across offices in Europe, Asia, North America, Australia, and Bermuda, we maintain a dynamic, inclusive culture where growth and collaboration drive success.
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