Lead AI/Cloud Engineer - GCP

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Job Summary:

We are looking for an experienced AI Engineer with expertise in Retrieval-Augmented Generation (RAG) models, Gemini AI, and vector databases. The ideal candidate should have a strong understanding of AI workflows, proficiency in Google Cloud Platform (GCP) services like BigQuery and Airflow, and a keen eye for cost optimization and innovation.

Key Responsibilities:

• Design, develop, and optimize RAG models using Gemini AI and other LLM frameworks.
• Implement and manage vector databases to enhance AI-driven retrieval efficiency.
• Develop AI/ML solutions leveraging Python, TensorFlow, and other deep learning frameworks.
• Ensure seamless integration of AI solutions with GCP services like BigQuery, Airflow, and cloud-based tools.
• Drive cost optimization strategies for AI workloads on GCP.
• Research and implement innovative ideas to enhance AI capabilities and automation.
• Collaborate with cross-functional teams to align AI solutions with business goals.

Tech Skills:

• AI & ML Frameworks: RAG Model, Gemini AI, TensorFlow, PyTorch
• Programming Languages: Python, SQL
• Cloud Platforms: Google Cloud Platform (GCP), BigQuery, Vertex AI, AI Platform
• Data Processing: Airflow, Apache Beam, Kafka
• Databases: Vector Databases (e.g., Pinecone, FAISS, Weaviate), PostgreSQL
• Infrastructure & DevOps: CI/CD Pipelines, Terraform, Docker, Kubernetes
• Cost Optimization: Cloud resource optimization strategies, serverless computing

Required Skills & Qualifications:

• Strong expertise in RAG models and Gemini AI for AI-driven applications.
• Hands-on experience with vector databases and AI-based retrieval systems.
• Proficiency in Python, TensorFlow, and other AI/ML frameworks.
• Solid understanding of machine learning, deep learning, and NLP concepts.
• Experience working with GCP services, including BigQuery, Airflow, and cloud optimization techniques.
• Ability to design and deploy cost-efficient AI solutions in a cloud environment.
• Strong problem-solving skills and a passion for innovation in AI and cloud computing.

Preferred Qualifications:

• Experience in LLMs (Large Language Models) and generative AI frameworks.
• Familiarity with MLOps, CI/CD pipelines, and cloud-based model deployment.
• Previous experience in optimizing AI workloads on GCP and other cloud platforms.

Education

Bachelor's degree preferred/specialized training/relevant professional qualification.

Pay Range

The typical pay range for this role is:

$118,450.00 - $236,900.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade wi