Architecture Senior Manager

Cigna

$120K — $150K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred).
  • Extensive experience in AI architecture and GenAI technologies.
  • Strong understanding of large language models (LLMs) and their implementation.
  • Experience with cloud environments and scalable AI platforms.
  • Proven track record in evaluating tools, frameworks, and vendors for AI solutions.

Responsibilities

  • Define enterprise GenAI architecture strategy including LLM selection and AI governance.
  • Architect secure, scalable, and highly available platforms across cloud environments.
  • Evaluate and select new LLMs, driving proofs of concept and architectural decisions.
  • Perform prompt engineering design and analysis.
  • Establish reference architectures and best practices for GenAI adoption.
  • Collaborate with security and compliance teams for responsible AI implementation.
  • Lead and guide engineering teams on complex architectural challenges.

Benefits

  • Flexible work arrangements, including occasional or permanent remote work.
  • Opportunity to provide technical leadership in executive forums.
  • Engagement in cross-organizational collaboration.
  • Potential growth in a cutting-edge field of AI technology.
Full Job Description

Digital Technology: GenAI Architecture Senior Manager

Responsibilities:

  • Define the enterprise GenAI architecture strategy, including LLM selection, RAG

  • patterns, vector stores, orchestration, and AI governance.

  • Architect secure, scalable, and highly available AI platforms across cloud

  • environments.

  • Evaluate and select new LLMs, frameworks, tools, and vendors; drive PoCs and

  • architectural decisions.

  • Prompt engineering design / analysis and evaluation

  • Establish reference architectures, design patterns, and best practices for GenAI

  • adoption.

  • Partner with security, compliance, and data governance teams to ensure

  • responsible AI implementation.

  • Guide senior engineers and teams on complex architectural challenges.

  • Provide technical leadership in executive and cross-organization forums.

  • Ensure alignment between business outcomes, technology strategy, and

  • long-term platform evolution.

  • Required Experience / Qualifications:

  • Bachelor’s degree in Computer science, Engineering, or related field (Master’s

  • preferred).


If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.

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