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:
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- 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.
- 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
- 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.
- 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.
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 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.Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.Great benefits for great peopleWe take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:
- Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
- No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
- Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.