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Pacific Life Re

AI Engineer

London
Posted 2 days ago
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AI Engineer

AI Engineer

Role Summary

Designs, builds, and pilots AI-enabled solutions that support the 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.

The role combines hands-on AI and full-stack development with strong engineering judgement, ensuring alignment with PL Re engineering 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 where 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 to enterprise standards.
  • Deliver hands-on full-stack and AI development, producing solutions capable of transition into strategic or BAU platforms where appropriate.
  • Design prototypes with explicit consideration for scalability, operability, data governance, and integration pathways if progressed beyond pilot.

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 insights from research 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, including ownership, lineage, residency, and PII handling.
  • Apply approved integration patterns when accessing platforms, data products, or external services.

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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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 a bridge between Business & AI experimentation and wider PL Re technology capabilities to accelerate AI adoption consistently 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

  • Demonstratable 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 technical solutions aligned to enterprise standards.
  • Ability to translate business problems into AI solutions that are secure, scalable, and enterprise-aligned.
  • Experience evaluating and applying AI technologies within 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 processes in large, regulated organisations.
  • Exposure to 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.

About Pacific Life Re

Every person in our global team is valued for the unique qualities they bring to our business and we seek to build their expertise and support their individual ambitions at every stage.

We operate under pressure but also work hard to maintain a balance, achieving professionally while having fun. We host team-building days to build connections and reflect on collective successes.

Work-Life Balance & Benefits (Permanent & Fixed Term Employees Only)

Leave

  • 25 days of annual leave with option to buy/sell more days
  • Adoption and fertility leave
  • Generous enhanced parental leave

Healthcare

  • Comprehensive private insurance coverage for employee and dependents
  • Group Life Insurance coverage of 9x basic annual salary and Group Income Protection up to 75% of basic annual salary
  • Optical benefits

Savings & Retirement

  • 15% combined employee/employer contributions

Wellness

  • Subsidized gym membership
  • Access to Employee Assistance Program
  • Cycle to Work and Electric Car Salary Sacrifice Scheme
  • Time off for volunteering
  • Charitable matching of employee donations

Our Commitment to Diversity & Inclusion

We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners, and communities. We support employees to thrive and achieve their fullest potential.

We provide reasonable adjustments during the recruitment process to ensure equal access for all applicants. Please contact us about your specific needs so that we can discuss making suitable accommodations where possible.

To learn more about our values, please refer to our full company values statement.

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Skills

AI Solution Design
Full-Stack Development
Python
APIs
Cloud Solutions
Data Governance
AI Research
Emerging Technologies
DevOps
Enterprise Architecture
Risk Management
Collaboration
Communication
Technical Direction
Innovation
Operational Readiness

Location

London, England, United Kingdom

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