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CVS Health

AI Engineer – GenAI

CVS Health

. Design, build, and deploy GenAI and agentic solutions supporting enterprise business needs .

Posted 10/26/2026full-timeUnited StatesJuniorMid-Level💰 $72,100 - $144,200 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and deploying GenAI solutions, leveraging Python, SQL, and deep learning frameworks. Proficient in building data pipelines, implementing computer vision techniques, and collaborating effectively with cross-functional teams.

Highest-signal resume keywords
GenAI Solutions DevelopmentPython ProgrammingDeep Learning FrameworksData Pipeline DevelopmentCloud Platform Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonSQLPyTorchTensorFlowKerasOpenCVRoboflowData Pipeline DevelopmentStatistical TechniquesFeature Engineering
Soft Skills
CommunicationCollaborationProblem-SolvingKnowledge SharingAgile Teamwork
Tools & Technologies
FastAPIFlaskBigQueryPostgreSQLMongoDBElasticsearchVector DatabaseCI/CD ToolsGitCloud Services
Industry Keywords
Machine LearningAI ApplicationsModel TrainingModel EvaluationData DriftCausal ImpactAgentic SolutionsWorkflow AutomationCross-Functional CollaborationEmerging AI/ML Tools

Tech Stack

Tools & technologies
BigQueryCloudElasticSearchFlaskKerasMongoDBNoSQLPostgresPySparkPythonPyTorchSQLTensorflow

About the role

Key responsibilities & impact
  • Design, build, and deploy GenAI and agentic solutions supporting enterprise business needs
  • Build RAG pipelines, tool-calling agents, agent memory, and multi-agent workflows using vector databases and graph retrieval
  • Develop and maintain data pipelines using Python, SQL, and PySpark across BigQuery, PostgreSQL, MongoDB, and Elasticsearch
  • Implement computer vision solutions such as object detection and tracking using OpenCV and Roboflow
  • Apply statistical and unsupervised techniques for analytics, segmentation, and causal-impact use cases
  • Build workflow automations and cloud-service integrations
  • Write tested and documented code; participate in code reviews and follow CI/CD, security, and compliance standards
  • Monitor model and agent performance in production and troubleshoot data drift, retrieval quality, latency, and failures
  • Evaluate model and agent quality using metrics, test sets, and human-in-the-loop review
  • Collaborate with product owners, data engineers, and senior engineers to translate requirements into technical tasks
  • Communicate progress, blockers, and risks
  • Contribute to knowledge-sharing and stay current with emerging AI/ML tools and techniques

Requirements

What you’ll need
  • 2+ years of hands-on experience developing and deploying machine learning or AI applications
  • 2+ years of experience with Python, including production-quality code and APIs such as FastAPI or Flask
  • 2+ years of experience with SQL and relational and/or NoSQL databases
  • 2+ years of hands-on experience with at least one deep learning framework: PyTorch, TensorFlow, or Keras
  • 2+ years of experience with core AI/ML concepts, including model training, validation, evaluation metrics, and feature engineering
  • 1+ year of hands-on experience building or contributing to GenAI solutions, including RAG and LLM integration
  • 1+ year of experience with a vector database or comparable search/retrieval technology
  • 1+ year of experience working on a cloud platform, including storage, compute, and basic IAM concepts
  • 1+ year of experience with Git and collaborative development workflows
  • 1+ year of experience working in an Agile team environment
  • 1+ year of experience communicating technical concepts clearly and working effectively with cross-functional partners
  • Bachelor's degree or equivalent experience; high school diploma plus 4 years of relevant work experience accepted
  • Qualified applicants with arrest or conviction records will be considered in accordance with applicable laws

Benefits

Comp & perks
  • CVS Health bonus, commission or short-term incentive program in addition to base pay
  • Medical coverage
  • Dental coverage
  • Vision coverage
  • Paid time off
  • Retirement savings options
  • Wellness programs
  • Other resources supporting physical, emotional, and financial well-being