Senior AI Architect & Generative Platforms Lead

The Cigna Group

Glasgow

Hybrid

GBP 90,000 - 130,000

Full time

11 days ago

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Benefits offered by this job

Competitive salary
Multicultural and hybrid working env
Private Medical Insurance
Employee Wellbeing Benefits
Educational Development Program

Job summary

The Cigna Group's Cigna Healthcare division is seeking a Lead AI Architect to define and govern AI-enabled data architectures across International Markets. You will drive Generative AI platforms, establish reference architectures, and collaborate with business, IT, and partners to deliver scalable, compliant AI solutions.

Join a globally recognized brand delivering innovative health care experiences, with a focus on data governance, security, and responsible AI practices within a multinational

Qualifications

  • Advanced degree required in CS/AI.
  • 10+ years building large-scale AI systems.
  • Experience in regulated environments.
  • English at C2 level.

Responsibilities

  • Define architectural patterns and standards for AI model lifecycle management and data pipelines.
  • Architect and own enterprise-scale Generative AI platforms across International Markets.
  • Provide architecture governance through reviews and standards definition.
  • Collaborate with business, IT, and third-party partners to deliver value while ensuring regulatory and security compliance.

Skills

AI architecture
Generative AI
Stakeholder management
Cloud platforms

Education

Advanced degree in Computer Science/AI

Tools

LangChain
LangGraph
Azure Form Recognizer
AWS Textract
Google Document AI

Job description

The Cigna Group's Cigna Healthcare division is seeking a Lead AI Architect to define and govern AI-enabled data architectures across International Markets. You will drive Generative AI platforms, establish reference architectures, and collaborate with business, IT, and partners to deliver scalable, compliant AI solutions.

Join a globally recognized brand delivering innovative health care experiences, with a focus on data governance, security, and responsible AI practices within a multinational

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