[Hiring] Staff AI Engineer @CVS Health

Role Description

Design, build, and operationalize scalable, secure, and responsible Generative AI solutions across the affiliate line of business. In this role, you will work across AWS Bedrock, GCP Vertex AI, serverless compute, event‑driven architectures, vector search, and agentic frameworks to deliver AI systems that accelerate business outcomes and improve experiences for our members, providers, and colleagues. This role blends hands-on engineering with architecture, platform leadership, and cross‑functional collaboration in a HIPAA‑regulated environment.

• Drives the development and implementation of advanced machine learning models and algorithms to solve complex healthcare problems, leveraging techniques such as predictive modeling, deep learning, and natural language processing.
• Collaborates with multiple departments, including data scientists, clinicians, and Information Technology (IT) professionals, to understand business requirements, define machine learning projects, and prioritize initiatives based on strategic objectives.
• Interfaces with stakeholders to define performance metrics and evaluation methodologies for machine learning models, contributing to rigorous testing, validation, and performance monitoring of models to ensure accuracy and reliability.
• Designs and implements scalable and efficient machine learning systems, including data pipelines, preprocessing, feature engineering, and model training, ensuring the quality and integrity of healthcare data used for analysis.
• Advises on the optimization and improvement of data pipelines, model training processes, and infrastructure to enhance efficiency, scalability, and performance of machine learning solutions.
• Consults on and presents technical findings, insights, and recommendations to both technical and non-technical stakeholders, contributing to the dissemination and application of machine learning insights in the healthcare industry.
• Ensures compliance with data privacy regulations, ethical guidelines, and industry standards in machine learning engineering, supporting the development of protocols and practices for model interpretability, fairness, and transparency.
• Manages team performance through regular, timely feedback as well as the formal performance review process to ensure delivery of exceptional services and engagement, motivation, and team development.
• Stays up-to-date with the latest advancements in machine learning and related technologies, continuously exploring and evaluating new algorithms and methodologies to enhance machine learning capabilities in healthcare applications.

Qualifications

• 7+ years in large-scale software development
• 5+ years solution architecture or system design experience.
• 5+ years building large-scale microservices/APIs using Node.js.
• 3+ years hands‑on experience with GCP and AWS (serverless, event-driven, AI/ML, CI/CD).
• AWS Bedrock or GCP Vertex AI or similar technologies.
• Strong communication and leadership skills.
• Strong experience with Python for AI/ML engineering.
• Production experience with agentic AI frameworks, RAG architectures and vector databases, serverless and event-driven designs.

Preferred Qualifications

• Experience with Vertex AI’s Generative AI Studio, vector search orchestration, and agent capabilities.
• Hands-on experience with vector databases (OpenSearch, Pinecone, FAISS, pgvector, Milvus).
• Strong knowledge of prompt engineering, evaluation, observability, and LLM security patterns.
• Ability to write clear design docs, architectural diagrams, runbooks, and technical briefs.
• Agile/SAFe experience in large enterprises.
• Cloud certifications (AWS/GCP) preferred.

Education

• Bachelor’s degree, or equivalent experience (HS diploma + 4 years relevant experience)

Pay Range

The typical pay range for this role is: $106,605.00 - $260,590.00. This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.

Benefits

• Comprehensive and competitive mix of pay and benefits.
• Medical, dental, and vision coverage.
• Paid time off.
• Retirement savings options.
• Wellness programs and other resources, based on eligibility.