The Cigna Group
Healthcare
ArchitectureSeniorManager
Neural analysis suggests this role is
optimal for Manager candidates.
“Architecture Senior Manager at The Cigna Group. Skills: GenAI Architecture, AI Platforms, LLM Selection. Define enterprise GenAI architecture strategy. Architect secure, scalable, and highly available AI platforms”
Industry & Context.
What They're Looking For.
Must Have
Bachelor's degree in Computer science, Engineering, or related field, 15–18+ years of experience in application architecture and platform engineering, Deep expertise in AI/ML and Generative AI architectures at enterprise scale, Experience designing and deploying solutions on AWS, Azure, or GCP, Proven experience architecting distributed, highly available, and security-first systems, Experience driving enterprise PoCs, pilots, and large-scale rollouts, Stakeholder management skills, Executive communication skills
Nice to Have
Master's degree preferred, Serverless and event-driven architecture leadership, Experience defining AI governance, evaluation frameworks, and lifecycle management, CI/CD and infrastructure-as-code leadership, Strategic mindset with influence without direct authority
What You'll Do.
Define enterprise GenAI architecture strategy
and highly available AI platforms
Evaluate and select new LLMs
Drive PoCs and architectural decisions
Prompt engineering design / analysis and evaluation
Establish reference architectures
Partner with security
and data governance teams
Ensure responsible AI implementation
Guide senior engineers and teams on complex architectural
Provide technical leadership in executive and cross-organization forums
Ensure alignment between business outcomes
How You'll Work.
Team & Collaboration
Cross-organization forums; Security teams; Compliance teams; Data governance teams
Communication Scope
Executive communication
Full Job Description
Digital Technology: GenAI Architecture Senior Manager Evernorth exists to elevate health for all, because we believe health is the starting point for human potential and progress. As champions for affordable, predictable, and simple health care, we solve the problems others don’t, won’t or can’t. We are passionate about making healthcare better by delivering world-class solutions that make a real difference. We are always looking upward. And that starts with finding the right talent to help us get there. **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). 15–18+ years of experience in application architecture and platform engineering. Deep expertise in AI/ML and Generative AI architectures at enterprise scale. Strong understanding of LLMs, RAG pipelines, vector databases, and conversational AI platforms. Extensive experience designing and deploying solutions on AWS, Azure, or GCP. Proven experience architecting distributed, highly available, and security-first systems. Experience driving enterprise PoCs, pilots, and large-scale rollou
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