AI Architect

This is your opportunity to join AXIS Capital – a trusted global provider of specialty lines insurance and reinsurance. We stand apart for our outstanding client service, intelligent risk taking and superior risk adjusted returns for our shareholders. We also proudly maintain an entrepreneurial, disciplined and ethical corporate culture. As a member of AXIS, you join a team that is among the best in the industry.

At AXIS, we believe that we are only as strong as our people. We strive to create an inclusive and welcoming culture where employees of all backgrounds and from all walks of life feel comfortable and empowered to be themselves. This means that we bring our whole selves to work.

All qualified applicants will receive consideration for employment without regard to any protected characteristic, including age, color, disability, ethnicity, gender identity, marital status, national origin, pregnancy, race, religion, sex, sexual orientation, veteran status, or any basis prohibited by the laws that govern its operations.

This is your opportunity to join AXIS Capital - a leading provider of specialty insurance and global reinsurance. We give people and organisations the confidence to take necessary risks in the pursuit of their goals and ambitions. Our strength is grounded in our people and culture, which encourages collaboration, diversity and entrepreneurialism.

• Hybrid work model:
  We value work-life balance and offer flexibility to our employees through a hybrid work model
• Diverse and inclusive environment:
  We celebrate diversity and strive to create an inclusive environment for all employees
• Career growth opportunities:
  We are committed to your professional development and offer opportunities for growth and advancement
• Social impact initiatives:
  We believe in making a difference and support various social and environmental causes

Artificial intelligence has the potential to improve how AXIS makes decisions, serves customers, manages risk and operates efficiently. Realising that potential requires AI solutions that are useful, secure, responsible and aligned with business outcomes.

The AI Architect will help shape and govern AXIS's AI landscape, translating business opportunities into practical technical designs. The role will work across architecture, engineering, data, security, risk and business teams to ensure AI capabilities are adopted consistently and safely.

• Design secure, scalable and resilient enterprise-grade AI architectures across generative AI, machine learning, intelligent automation and agent-based use cases.
• Translate business needs into clear AI designs, explaining technical choices, benefits, limitations, risks and trade-offs to both technical and non-technical stakeholders.
• Define and promote reusable AI architecture patterns, shared components, standards and guardrails covering model selection, orchestration, grounding, integration, observability and human oversight.
• Identify common requirements across AI initiatives and shape reusable components, services and reference implementations that can be adopted by multiple teams.
• Maintain architectural oversight across multiple AI projects, identifying duplication and guiding teams towards shared capabilities rather than creating project-specific solutions in isolation.
• Guide teams on responsible AI best practices, including fairness, explainability, transparency, privacy, security, safety, regulatory compliance and appropriate human control.
• Assess whether proposed AI use cases are suitable for AI, and recommend simpler approaches where these offer better value, control or maintainability.
• Architect AI solutions that integrate securely with enterprise data, applications, APIs and workflow platforms, working closely with Data, Integration, Cloud and Security Architecture.
• Support solution teams with approaches such as retrieval-augmented generation, semantic search, prompt and context management, model evaluation, MLOps and LLMOps.
• Ensure designs include appropriate testing, monitoring, cost management, performance, resilience, auditability and lifecycle controls.
• Contribute to AI governance and design assurance, including presenting proposals to architecture and risk review forums and tracking key decisions.
• Evaluate emerging AI technologies and vendors through structured assessments and proofs of concept, balancing innovation with operational and regulatory…