Senior Software Engineer – AI & Cloud Platforms

CVS Health

. Design and deliver real-world Generative AI solutions, including chatbots, document intelligence tools, and AI assistants .

Posted 10/8/2026full-timeUnited StatesSenior💰 $111,240 - $222,480 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in designing and delivering Generative AI solutions, including chatbots and document intelligence tools, while ensuring quality and compliance. Proficient in building cloud-native applications and integrating with leading AI platforms, utilizing strong skills in prompt engineering and orchestration frameworks.

Highest-signal resume keywords

Generative AI Solutions DevelopmentCloud-Native Application DesignPrompt EngineeringAI Orchestration FrameworksCI/CD Pipeline Implementation

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonJavaReactREST API DevelopmentPrompt EngineeringAI/ML SolutionsRAG Pipeline ImplementationDockerKubernetesData Analysis

Soft Skills

Technical LeadershipMentoringCollaboration

Tools & Technologies

Azure OpenAIGoogle Vertex AIAnthropic ClaudeOpenAIGeminiGitHub ActionsFastAPIFlaskSpring BootAgile Methodologies

Certifications & Qualifications

Bachelor's Degree in Computer ScienceBachelor's Degree in EngineeringBachelor's Degree in Machine Learning

Industry Keywords

Generative AIAI Systems GovernanceCloud ComputingEnterprise SoftwareVector Databases

Tech Stack

Tools & technologies

AngularAWSAzureCloudDockerFlaskGoogle Cloud PlatformJavaKubernetesPythonReactSpringSpring BootSpringBoot

About the role

Key responsibilities & impact

Design and deliver real-world Generative AI solutions, including chatbots, document intelligence tools, and AI assistants
Implement Retrieval-Augmented Generation pipelines using organizational data
Build and coordinate AI agents using orchestration frameworks
Connect applications to leading AI platforms including Azure OpenAI, Google Vertex AI, Anthropic Claude, OpenAI, and Gemini
Develop prompt engineering patterns for reliable production LLM performance
Monitor, evaluate, and govern AI systems for quality, safety, and compliance
Own technical design of cloud-native applications across front-end and back-end services
Build responsive web UIs using React or Angular
Design and build REST APIs using Python or Java
Build and test prototypes for rapid iteration and experimentation
Package and run applications on Google Cloud using containers and Kubernetes (GKE)
Lead technical conversations, conduct code reviews, and mentor colleagues
Work in Agile sprints and contribute to CI/CD pipelines using GitHub Actions
Guide engineering practices covering clean code, security, testing, and architecture

Requirements

What you’ll need

3+ years building enterprise or cloud-based software
3+ years of experience using Python/R and/or Java for data analysis
2+ years with CI/CD; GitHub Actions preferred
2+ years on GCP, Azure, or AWS
2+ years shipping AI/ML or GenAI solutions in production
1+ years with FastAPI, Flask, or Spring Boot
1+ years building UIs with React
Hands-on experience calling LLM APIs
Hands-on experience with AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, or CrewAI
Hands-on experience building RAG pipelines and integrating vector databases
Solid prompt engineering skills
Docker and Kubernetes deployment experience
Bachelor's degree in Computer Science, Engineering, Machine Learning, or related discipline

Benefits

Comp & perks

Medical coverage
Dental coverage
Vision coverage
Paid time off
Retirement savings options
Wellness programs
Other resources supporting physical, emotional, and financial well-being
CVS Health bonus, commission or short-term incentive program eligibility