Architecture Senior Manager

The Cigna Group•Austin, TX

1d•$149,300 - $248,800•Remote

About The Position

The job profile for this position is Architecture Senior Manager, which is a Band 4 Management Career Track Role. Excited to grow your career? We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! Our people make all the difference in our success. 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.

Requirements

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 rollouts.
Strong stakeholder management and executive communication skills.

Nice To Haves

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 strong influence without direct authority

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.