Job Title
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. 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 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 – 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.
- 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.
Essential Skills & Experience
- 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.
- Experience evaluating and applying AI technologies within regulated or risk‑aware environments.
- Strong engineering judgement, balancing innovation with operational readiness and control.
Desirable Skills & Experience
- 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.
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.
Benefits (Permanent and Fixed Term Employees)
- 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.
Diversity & Inclusion
We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential. As part of our commitment to diversity and inclusion, we will provide reasonable adjustments during the recruitment process to ensure equal access to applicants with disabilities. Please contact us about your needs so that we can discuss these with you to make sure that suitable adjustments are made, where possible.
#J-18808-Ljbffr…