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We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
Job Responsibility:
Create a technical vision to meet short- and longer-term business needs
Ensure the long-term quality of the design and code of our software systems
Oversee the creation and own critical software components
Lead hands-on, perform design and code and reviews
Help deploy and maintain large scale software in Production, ensure operational excellence
Possess expert knowledge in performance, scalability, distributed architecture, and engineering best practices
Help translate business requirements into software system in an Agile environment
Serve as technical lead on the most demanding, cross-functional projects
Advise leadership on technical decisions, strong communications skills required
Help the career development of other team members, mentor individuals on advanced technical issues, help managers grow their teams
Requirements:
10+ years of experience with designing and building software engineering solutions in cloud environments
10+ years of experience in one or more modern languages, such as Python, Java, C#, JavaScript, SQL, etc
10+ years of experience with APIs, microservices, and modern software patterns
5+ year(s) of soliciting complex requirements and managing relationships with key stakeholders
Strong understanding of conversational AI technologies (e.g., chatbots, voice assistants, LLMs, STT/TTS, NLU/NLP engines)
Bachelor degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience)
Nice to have:
Strong communication skills, capable of effectively articulating technical and strategic concepts to multiple stakeholders
Hands-on experience with Large Language Models (LLM) and their practical applications in conversational AI
Experience developing and supporting voice and text chatbots
Advanced degree (Master or PhD) in Computer Science, Engineering, AI, or a related field