Senior AI Engineer
Pacific Life Re2 days ago
London, United KingdomSenior
Responsibilities
- Design, build, and pilot secure, scalable, cloud-hosted AI solutions for reinsurance business problems.
- Develop hands-on AI and full-stack applications using Python, APIs, and modern application architectures.
- Research and evaluate emerging AI approaches, tools, techniques, and managed foundation-model services.
- Design prototypes with consideration for scalability, operability, data governance, integration pathways, and enterprise transition.
- Align solutions with engineering standards, architecture principles, security controls, approved platforms, and data governance requirements.
- Collaborate with Enterprise Architecture, Information Security, and the Global Experience Analysis engineering team.
- Contribute to logical and cloud architecture designs and identify architectural impacts, dependencies, and technical debt risks.
- Share cloud and AI engineering insights, patterns, and lessons learned to accelerate consistent AI adoption.
Requirements
- Demonstrable experience designing, building, and piloting AI-enabled solutions through rapid prototyping and experimentation with business stakeholders.
- Strong hands-on development experience with Python, APIs, and modern application architectures.
- Experience translating business problems into practical, secure, scalable, enterprise-aligned technical solutions.
- Experience evaluating and applying AI technologies in regulated or risk-aware environments.
- Strong engineering judgment balancing innovation with operational readiness, governance, 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, insurance technology, or adjacent environments is desirable.
- Familiarity with DevOps or DevSecOps practices and enterprise CI/CD pipelines is desirable.
- Understanding of enterprise architecture, target architectures, design governance, and regulated organizational environments is desirable.
- Exposure to OpenAI, AWS Bedrock, Claude, Llama, Azure AI Foundry, Copilot Studio, GitHub Copilot, or similar tools is desirable.
- Strong ownership, communication, stakeholder collaboration, and ability to lead through influence are expected.
Benefits
- 25 days of annual leave with the option to buy or sell additional days.
- Adoption and fertility leave and enhanced parental leave.
- Private healthcare coverage for employees and dependents, group life insurance, and group income protection.
- 15% combined employee and employer savings and retirement contributions.
- Subsidized gym membership and access to an Employee Assistance Program.
- Cycle to Work and Electric Car Salary Sacrifice schemes.
- Time off for volunteering and charitable donation matching.
- Team-building days, social activities, wellbeing initiatives, and support for community involvement.
- Reasonable recruitment-process adjustments are available for applicants with disabilities.
Categories
About Pacific Life Re
Pacific Life Re provides life and health reinsurance to insurers, covering protection, critical illness, income protection, longevity risk transfer, and retrocession. It earns through risk premiums and related services such as underwriting support, pricing, and analytics. The company operates globally from a headquarters in Bermuda with offices across Europe, Asia, North America, and Australia, and is backed by parent Pacific Life, a U.S. insurer with a 150-year heritage.