1 day ago
London, United Kingdom or New York, NY, USASenior

Base Salary

$80k - $100k/yr

Responsibilities

  • Design secure, scalable and resilient enterprise AI architectures for generative AI, machine learning, intelligent automation and agent-based use cases.
  • Translate business needs into technical AI designs and communicate trade-offs, risks, limitations and benefits to technical and non-technical stakeholders.
  • Define reusable AI architecture patterns, shared components, standards and guardrails for model selection, orchestration, grounding, integration, observability and human oversight.
  • Maintain architectural oversight across multiple AI projects and guide teams toward shared capabilities and reusable enterprise services.
  • Guide responsible AI practices covering fairness, explainability, transparency, privacy, security, safety, regulatory compliance and human control.
  • Architect secure integrations with enterprise data, applications, APIs and workflow platforms.
  • Support retrieval-augmented generation, semantic search, prompt and context management, model evaluation, MLOps and LLMOps approaches.
  • Ensure AI designs include testing, monitoring, cost management, performance, resilience, auditability and lifecycle controls.
  • Contribute to AI governance, design assurance, architecture reviews, risk forums and architectural decision tracking.
  • Evaluate emerging AI technologies and vendors through structured assessments and proofs of concept.
  • Collaborate with engineers and delivery teams during implementation and facilitate workshops that identify measurable business value.

Requirements

  • At least 5 years of relevant experience in AI, machine learning, data science, software engineering, cloud architecture or solution architecture, including designing or delivering AI-enabled solutions.
  • Strong technical understanding of software engineering, cloud platforms, APIs, data integration, security and modern development practices.
  • Experience designing or building solutions across Databricks and Azure platforms.
  • Proven experience designing enterprise-grade AI architectures for security, scalability, resilience, performance, observability, integration, governance and cost control.
  • Working knowledge of generative AI and machine learning concepts, including large language models, embeddings, vector search, retrieval-augmented generation, agents, model evaluation and prompt design.
  • Experience designing solutions on a major cloud platform, with Microsoft Azure and its AI ecosystem particularly relevant.
  • Understanding of MLOps or LLMOps, versioning, testing, deployment, monitoring, observability and lifecycle management.
  • Knowledge of responsible AI principles and their application to privacy, security, fairness, explainability, transparency, safety and human oversight.
  • Experience producing architecture artifacts such as solution designs, integration views, data flows, decision records, standards and reusable patterns.
  • Experience with AI architecture governance, design assurance, standards, guardrails and architectural decision-making.
  • Ability to manage portfolio-level AI dependencies, identify reusable enterprise capabilities and challenge unnecessary duplication.
  • Strong stakeholder management, workshop facilitation, communication, collaboration and judgment skills.
  • Preferred experience in insurance, reinsurance or regulated financial services.
  • Preferred knowledge of Azure AI Foundry, Azure OpenAI, Copilot Studio, Microsoft Fabric, Databricks, semantic technologies, knowledge graphs and enterprise data governance.
  • Preferred familiarity with AI risk-management frameworks, model governance, threat modelling and emerging AI regulation.
  • Relevant cloud, architecture, data, security or AI certifications are preferred.

Benefits

  • Hybrid work model with flexibility and an emphasis on work-life balance.
  • Medical plans for employees and their families.
  • Health and wellness programs.
  • Retirement plans.
  • Tuition reimbursement.
  • Paid annual leave or vacation.
  • Professional development and career growth opportunities.
  • Support for social and environmental impact initiatives.

Tech Stack

AzureDatabricks
Axis Capital Holdings, Ltd.

About Axis Capital Holdings, Ltd.

1,001-5,000 employees

AXIS Capital Holdings Limited is a Bermuda-based specialty insurer and reinsurer that underwrites commercial property and casualty lines and reinsurance for businesses and brokers worldwide. Founded in 2001 and headquartered in Pembroke, it is a public company listed on the NYSE (AXS). Its portfolio spans cyber and technology E&O, aviation, marine, political risk and credit, casualty, property, and accident & health, with underwriting platforms in the U.S., London, and Europe.

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