Senior Artificial Intelligence Engineer

Who you are

• 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 technical solutions aligned to enterprise standards
• Ability to translate business problems into secure, scalable enterprise‑aligned solutions
• Experience evaluating and applying AI technologies within regulated or risk‑aware environments
• Strong engineering judgement, balancing innovation with operational readiness and control
• 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
• 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

What the job involves

• We're looking for a Senior AI Engineer at Pacific Life Re
• The Senior AI Engineer 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
• 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
• 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
• 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
• 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
• 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

Benefits

• Life Assurance - The Company provides a lump sum benefit payment, 9x salary
• Group Income Protection - The aim is to provide an income to employees if they are unable to work long-term, as a result of an illness or injury. 75% of basic salary
• Private Medical Insurance - Provided for all employees via Bupa Healthcare
• Stakeholder Pension Scheme - Up to 15%. The Company offers a group stakeholder pension to aid employees in planning for their future
• Employee Assistance Programme - Providing employees with third-party advice on a variety of topics including mental health
• Subsidised Gym Membership - The company subsidises memberships to any gym of employees' choice
• Enhanced Maternity and Paternity scheme
• Bonus Scheme - based on individual and company performance
• 20 days a year working remotely - The opportunity to work abroad or from your home country (for those who may have moved country). This can be broken up through the year
• 24/7 GP Consultation - Through the Employee Assistance Programme, WeCare, employees and their families have access to a UK-based GP anytime it's needed
• Cycle 2 Work Scheme - Enables employees to purchase cycling equipment tax-free by paying for it in installments through salary sacrifice deductions
• 25 days holiday per year increasing by 1 day for every 2 years service, plus 1 additional flexible day off per year