Note: The job is a remote job and is open to candidates in USA. CVS Health is committed to building a world of health around every individual by creating a connected and compassionate health experience. The Sr Software Development Engineer will design and operationalize enterprise-scale Machine Learning and Generative AI solutions on Google Cloud Platform, working closely with various teams to deliver AI-enabled capabilities.
Responsibilities
- Designs and defines the technical architecture and infrastructure required for digital solutions
- Writes code, develops software components, and implements complex functionalities according to project requirements
- Collaborates with other members of the development team and stakeholders to make high-level architectural decisions, proposes design patterns, and ensures scalability, performance, and maintainability of digital solutions
- Leverages advanced programming skills to design and implement complex features, optimize performance, and ensure code efficiency
- Integrates various software components or systems, ensuring seamless communication and interoperability between different parts of the digital solution
- Writes and executes comprehensive test cases, conducts code reviews, performs debugging, and troubleshoots issues to ensure the reliability, stability, and high quality of digital solutions
- Participates in agile or other development methodologies, attends meetings, contributes to project planning, and helps drive the progress and success of digital projects
- Ensure compliance with enterprise architecture standards. Support data governance, lineage, auditability, and compliance. Implement secure and scalable AI deployment patterns. Participate in architecture reviews and design workshops
- Build predictive analytics and intelligent automation capabilities. Develop GenAI and NLP-based solutions for business insights
- Engineer reusable feature stores and feature pipelines
- Develop AI-ready semantic datasets. Partner with Data Engineers and Architects to optimize data consumption. Build scalable feature engineering frameworks. Enable AI-powered analytics and reporting capabilities
Skills
- 5+ years of overall experience in Data Engineering, Machine Learning, or AI Engineering
- 4+ years of hands-on experience implementing ML solutions on GCP
- Experience deploying ML models into production environments
- Experience working in large-scale enterprise environments
- TensorFlow
- PyTorch
- Scikit-Learn
- XGBoost
- Time-Series Forecasting
- NLP & LLM Frameworks
- Feature Engineering
- Model Optimization
- Experience with SAP S/4HANA Finance data
- Experience supporting FP&A, forecasting, and financial analytics
- Knowledge of enterprise semantic models and KPI engineering
- Experience building AI-enabled executive reporting platforms
- Familiarity with enterprise data governance and compliance frameworks
Benefits
- This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families.
- The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
- This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
Company Overview
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