Software Engineer - Search/AI
Job in
Gassaway, Braxton County, West Virginia, 26624, USA
Listed on 2026-06-19
Listing for:
CVS Health
Full Time
position Listed on 2026-06-19
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Cloud Engineer - Software, Backend Developer
Job Description & How to Apply Below
Location: Gassaway
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.
POSITION SUMMARY CVS Health is looking for hands-on, passionate people who want to join a high energy and growing team to make a difference in customers' lives and who want to be on the forefront of digital innovation that aims to reinvent what a pharmacy and a health care company can be in the digital world. Currently, we are seeking a Staff Software Engineer - Search / AI who as a Senior technical leader, be responsible for driving architecture, design, and delivery of scalable, cloud-native platforms built on microservices architecture and AI capabilities.
This role combines deep hands-on engineering with strategic leadership to build intelligent, distributed systems.
The right candidate will be a strong analytical thinker and be able to simplify complex problems, processes or projects into component parts explore and evaluate them systematically. We love to collaborate and help each other and we want someone to share that ideology.
Expectations for the Role Drive enterprise architecture and technical strategy with strong focus on microservices-based design and AI platform engineering
Design and develop highly scalable microservices architectures, including APIs, domain-driven services, and event-driven systems
Lead the development and integration of AI/ML solutions, including LLMs, Retrieval-Augmented Generation (RAG), and agentic frameworks
Develop scalable data platforms and pipelines to support real-time and batch processing across enterprise systems
Enable AI-powered capabilities, including intelligent search, recommendations, and decision-support systems
Lead the development and optimization of search algorithms and systems utilizing technologies such as Elastic/Open Search/Solr.
Drive adoption of CI/CD, Dev Ops, and automated testing practices using modern tooling (Git Hub, Jenkins, CircleCI, Harness)
Ensure high standards of system reliability, observability, and performance through monitoring and operational excellence
Collaborate with product managers, architects, and business stakeholders to deliver scalable, modular, and intelligent solutions
Lead design reviews, defining best practices for microservices design, API contracts, and service governance, and mentoring engineers
Drive responsible AI practices, including model evaluation, governance, and production readinessREQUIRED QUALIFICATIONS7+ years of experience in software engineering, including full software development lifecycle (design, development, testing, deployment)5+ years of experience building enterprise-scale cloud-native applications (GCP, Azure, or AWS)5+ years of programming skills in any one of the following programming languages:
Java, Python, Kotlin, or Go, with an emphasis on backend and API-driven development3+ years of experience in designing and developing microservices architecture, including service decomposition, API design, and event-driven patterns2+ years of experience integrating AI/ML solutions, including familiarity with LLMs, RAG architectures, or AI-enabled applications2+ years of experience designing and implementing distributed systems and microservices at scale, including resiliency, scalability, and fault tolerance
Experience with any search technology such as Elastic Search/Open Search/Solr/Lucene
Experience with CI/CD pipelines and Dev Ops practices
Experience with containerization and orchestration (Docker, Kubernetes)
Strong understanding of observability, logging, monitoring, and production supportPREFERRED QUALIFICATIONS Experience building intelligent data-driven systems, including personalization, recommendations, and analytics platforms
Proficiency in machine learning, statistical analysis, predictive modeling, and mathematical methods, with exposure to search…
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